From 589b4f8b1cc87d38ff5a2165174567c99fe973c6 Mon Sep 17 00:00:00 2001 From: mdmaas Date: Sat, 6 Jun 2026 12:53:45 -0300 Subject: [PATCH] larger airbox in patch antenna --- docs/examples/patch.config | 8 +- docs/examples/patch_antenna.ipynb | 3768 +++++++++++++++++++++-------- 2 files changed, 2757 insertions(+), 1019 deletions(-) diff --git a/docs/examples/patch.config b/docs/examples/patch.config index d8a3f02..1731b24 100644 --- a/docs/examples/patch.config +++ b/docs/examples/patch.config @@ -58,7 +58,7 @@ "Attributes": [ 6 ], - "NSample": 32000 + "NSample": 16000 } } }, @@ -66,9 +66,9 @@ "Order": 2, "Device": "CPU", "Driven": { - "MinFreq": 3.2, - "MaxFreq": 3.5, - "FreqStep": 0.005, + "MinFreq": 2.5, + "MaxFreq": 4, + "FreqStep": 0.0025, "SaveStep": 5, "AdaptiveTol": 0.001 }, diff --git a/docs/examples/patch_antenna.ipynb b/docs/examples/patch_antenna.ipynb index fbcc3db..016c946 100644 --- a/docs/examples/patch_antenna.ipynb +++ b/docs/examples/patch_antenna.ipynb @@ -20,7 +20,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 1, "id": "9437354e", "metadata": { "execution": { @@ -90,7 +90,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 2, "id": "4049c4db", "metadata": { "execution": { @@ -114,7 +114,7 @@ "l: float = 0.030\n", "w: float = 0.029\n", "\n", - "# Ground plane — unchanged\n", + "# Ground plane\n", "l1: float = 0.06\n", "w1: float = 0.06\n", "\n", @@ -128,20 +128,19 @@ "# Substrate\n", "h: float = 0.0013\n", "\n", - "# Air box — unchanged\n", - "air_height: float = 0.03\n", - "air_margin: float = 0.03\n", - "\n", "freq: float = 3.3\n", "eps_r: float = 2.2\n", "loss_tan: float = 0.0009\n", "mu_r = 1.0\n", "port_impedance: float = 50.0\n", + "wavelength = 3e8 / (freq * 1e9)\n", "\n", - "# Filename where the mesh is loadeds\n", - "filename = \"patch_antenna.msh\"\n", + "# Air box\n", + "air_height: float = wavelength\n", + "air_margin: float = wavelength / 2\n", "\n", - "wavelength = wavelength = 3e8 / (freq * 1e9)" + "# Filename where the mesh is loadeds\n", + "filename = \"patch_antenna.msh\"" ] }, { @@ -163,7 +162,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 3, "id": "e6a08089", "metadata": { "execution": { @@ -213,7 +212,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 4, "id": "474cc986", "metadata": { "execution": { @@ -247,9 +246,9 @@ "total_xmax = l1/2 + air_margin\n", "total_ymin = -w1/2 - air_margin\n", "total_ymax = w1/2 + air_margin\n", - "total_zmax = h + air_height\n", + "total_zmin = -air_height/2\n", + "total_zmax = h + air_height/2\n", "\n", - "# Substrate\n", "substrate = kernel.addBox(-l1/2, -w1/2, 0, l1, w1, h)\n", "\n", "# Ground plane\n", @@ -266,7 +265,6 @@ ")\n", "kernel.synchronize()\n", "\n", - "\n", "feed_length = (l1 - l)/2 + l2\n", "feed_line = kernel.addRectangle(-l1/2, -w3/2, h, feed_length, w3)\n", "\n", @@ -278,16 +276,15 @@ "kernel.synchronize()\n", "\n", "# Gap bewteen the gropund plane and the bottom of the lumped port.\n", - "gap = 0.0001\n", - "lumped_port = kernel.addRectangle(-l1/2 + gap, -w3/2, 0, h - gap, w3)\n", + "lumped_port = kernel.addRectangle(-l1/2, -w3/2, 0, h, w3)\n", "kernel.rotate([(2, lumped_port)], -l1/2, 0, 0, 0, 1, 0, -math.pi/2)\n", "kernel.synchronize()\n", "\n", "air_box = kernel.addBox(\n", - " total_xmin, total_ymin, 0,\n", + " total_xmin, total_ymin, total_zmin,\n", " total_xmax - total_xmin,\n", " total_ymax - total_ymin,\n", - " total_zmax\n", + " total_zmax - total_zmin\n", ")\n", "kernel.synchronize()" ] @@ -311,7 +308,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 5, "id": "fdbadb7b", "metadata": { "execution": { @@ -334,58 +331,59 @@ "name": "stdout", "output_type": "stream", "text": [ - " Physical group 'air_box' (dim=3): pg=1, tags=[2] \n", + " Physical group 'air_box' (dim=3): pg=1, tags=[2] \n", " Physical group 'substrate' (dim=3): pg=2, tags=[1]\n", " Physical group 'top_conductor' (dim=2): pg=3, tags=[8]\n", " Physical group 'ground_plane' (dim=2): pg=4, tags=[7]\n", " Physical group 'lumped_port' (dim=2): pg=5, tags=[9]\n", - " Physical group 'air_box__None' (dim=2): pg=6, tags=[15, 16, 17, 18, 19, 20]\n", - " Physical group 'air_box__substrate' (dim=2): pg=7, tags=[10, 12, 11, 13, 14]\n", + " Physical group 'air_box__None' (dim=2): pg=6, tags=[16, 17, 18, 19, 20, 21]\n", + " Physical group 'air_box__substrate' (dim=2): pg=7, tags=[10, 11, 13, 15, 14, 12]\n", " ppw_near=400 ppw_far=7\n", " SizeMax=0.0130 transition=0.0227\n", " global: 15 curves, SizeMin=0.0002\n", "Info : Meshing 1D...\n", - "Info : [ 0%] Meshing curve 1 (Line)\n", - "Info : [ 10%] Meshing curve 2 (Line)\n", - "Info : [ 10%] Meshing curve 3 (Line)\n", - "Info : [ 10%] Meshing curve 4 (Line)\n", - "Info : [ 20%] Meshing curve 5 (Line)\n", - "Info : [ 20%] Meshing curve 6 (Line)\n", - "Info : [ 20%] Meshing curve 7 (Line)\n", - "Info : [ 20%] Meshing curve 8 (Line)\n", - "Info : [ 30%] Meshing curve 9 (Line)\n", - "Info : [ 30%] Meshing curve 10 (Line)\n", - "Info : [ 30%] Meshing curve 11 (Line)\n", - "Info : [ 30%] Meshing curve 12 (Line)\n", - "Info : [ 40%] Meshing curve 13 (Line)\n", - "Info : [ 40%] Meshing curve 14 (Line)\n", - "Info : [ 40%] Meshing curve 15 (Line)\n", - "Info : [ 40%] Meshing curve 16 (Line)\n", - "Info : [ 50%] Meshing curve 17 (Line)\n", - "Info : [ 50%] Meshing curve 18 (Line)\n", - "Info : [ 50%] Meshing curve 19 (Line)\n", - "Info : [ 50%] Meshing curve 20 (Line)\n", - "Info : [ 60%] Meshing curve 21 (Line)\n", - "Info : [ 60%] Meshing curve 22 (Line)\n", - "Info : [ 60%] Meshing curve 23 (Line)\n", - "Info : [ 60%] Meshing curve 24 (Line)\n", - "Info : [ 70%] Meshing curve 25 (Line)\n", - "Info : [ 70%] Meshing curve 26 (Line)\n", - "Info : [ 70%] Meshing curve 27 (Line)\n", - "Info : [ 70%] Meshing curve 28 (Line)\n", - "Info : [ 80%] Meshing curve 29 (Line)\n", - "Info : [ 80%] Meshing curve 30 (Line)\n", - "Info : [ 80%] Meshing curve 31 (Line)\n", - "Info : [ 80%] Meshing curve 32 (Line)\n", - "Info : [ 90%] Meshing curve 33 (Line)\n", - "Info : [ 90%] Meshing curve 34 (Line)\n", - "Info : [ 90%] Meshing curve 35 (Line)\n", - "Info : [ 90%] Meshing curve 36 (Line)\n", - "Info : [100%] Meshing curve 37 (Line)\n", - "Info : [100%] Meshing curve 38 (Line)\n", - "Info : [100%] Meshing curve 39 (Line)\n", - "Info : [100%] Meshing curve 40 (Line)\n", - "Info : Done meshing 1D (Wall 0.430683s, CPU 0.423537s)\n", + "Info : [ 0%] Meshing curve 45 (Line)\n", + "Info : [ 10%] Meshing curve 46 (Line)\n", + "Info : [ 10%] Meshing curve 47 (Line)\n", + "Info : [ 10%] Meshing curve 48 (Line)\n", + "Info : [ 10%] Meshing curve 49 (Line)\n", + "Info : [ 20%] Meshing curve 50 (Line)\n", + "Info : [ 20%] Meshing curve 51 (Line)\n", + "Info : [ 20%] Meshing curve 52 (Line)\n", + "Info : [ 20%] Meshing curve 53 (Line)\n", + "Info : [ 30%] Meshing curve 54 (Line)\n", + "Info : [ 30%] Meshing curve 55 (Line)\n", + "Info : [ 30%] Meshing curve 56 (Line)\n", + "Info : [ 30%] Meshing curve 57 (Line)\n", + "Info : [ 40%] Meshing curve 58 (Line)\n", + "Info : [ 40%] Meshing curve 59 (Line)\n", + "Info : [ 40%] Meshing curve 60 (Line)\n", + "Info : [ 40%] Meshing curve 61 (Line)\n", + "Info : [ 50%] Meshing curve 62 (Line)\n", + "Info : [ 50%] Meshing curve 63 (Line)\n", + "Info : [ 50%] Meshing curve 64 (Line)\n", + "Info : [ 50%] Meshing curve 65 (Line)\n", + "Info : [ 60%] Meshing curve 66 (Line)\n", + "Info : [ 60%] Meshing curve 67 (Line)\n", + "Info : [ 60%] Meshing curve 68 (Line)\n", + "Info : [ 60%] Meshing curve 69 (Line)\n", + "Info : [ 70%] Meshing curve 70 (Line)\n", + "Info : [ 70%] Meshing curve 71 (Line)\n", + "Info : [ 70%] Meshing curve 72 (Line)\n", + "Info : [ 70%] Meshing curve 73 (Line)\n", + "Info : [ 80%] Meshing curve 74 (Line)\n", + "Info : [ 80%] Meshing curve 75 (Line)\n", + "Info : [ 80%] Meshing curve 76 (Line)\n", + "Info : [ 80%] Meshing curve 77 (Line)\n", + "Info : [ 90%] Meshing curve 78 (Line)\n", + "Info : [ 90%] Meshing curve 79 (Line)\n", + "Info : [ 90%] Meshing curve 80 (Line)\n", + "Info : [ 90%] Meshing curve 81 (Line)\n", + "Info : [100%] Meshing curve 82 (Line)\n", + "Info : [100%] Meshing curve 83 (Line)\n", + "Info : [100%] Meshing curve 84 (Line)\n", + "Info : [100%] Meshing curve 85 (Line)\n", + "Info : Done meshing 1D (Wall 0.230892s, CPU 0.212348s)\n", "Info : Meshing 2D...\n", "Info : [ 0%] Meshing surface 7 (Plane, MeshAdapt)\n", "Info : [ 10%] Meshing surface 8 (Plane, MeshAdapt)\n", @@ -394,221 +392,233 @@ "Info : [ 30%] Meshing surface 11 (Plane, MeshAdapt)\n", "Info : [ 40%] Meshing surface 12 (Plane, MeshAdapt)\n", "Info : [ 50%] Meshing surface 13 (Plane, MeshAdapt)\n", - "Info : [ 60%] Meshing surface 14 (Plane, MeshAdapt)\n", + "Info : [ 50%] Meshing surface 14 (Plane, MeshAdapt)\n", "Info : [ 60%] Meshing surface 15 (Plane, MeshAdapt)\n", "Info : [ 70%] Meshing surface 16 (Plane, MeshAdapt)\n", - "Info : [ 80%] Meshing surface 17 (Plane, MeshAdapt)\n", + "Info : [ 70%] Meshing surface 17 (Plane, MeshAdapt)\n", "Info : [ 80%] Meshing surface 18 (Plane, MeshAdapt)\n", "Info : [ 90%] Meshing surface 19 (Plane, MeshAdapt)\n", - "Info : [100%] Meshing surface 20 (Plane, MeshAdapt)\n", - "Info : Done meshing 2D (Wall 0.739715s, CPU 0.734912s)\n", + "Info : [ 90%] Meshing surface 20 (Plane, MeshAdapt)\n", + "Info : [100%] Meshing surface 21 (Plane, MeshAdapt)\n", + "Info : Done meshing 2D (Wall 0.381529s, CPU 0.380286s)\n", "Info : Meshing 3D...\n", "Info : 3D Meshing 2 volumes with 1 connected component\n", - "Info : Tetrahedrizing 4678 nodes...\n", - "Info : Done tetrahedrizing 4686 nodes (Wall 0.131787s, CPU 0.132038s)\n", + "Info : Tetrahedrizing 5100 nodes...\n", + "Info : Done tetrahedrizing 5108 nodes (Wall 0.0573707s, CPU 0.057804s)\n", "Info : Reconstructing mesh...\n", "Info : - Creating surface mesh\n", "Info : - Identifying boundary edges\n", "Info : - Recovering boundary\n", - "Info : Done reconstructing mesh (Wall 0.215951s, CPU 0.217958s)\n", + "Info : Done reconstructing mesh (Wall 0.0972451s, CPU 0.097004s)\n", "Info : Found volume 2\n", "Info : Found volume 1\n", - "Info : It. 0 - 0 nodes created - worst tet radius 5.97322 (nodes removed 0 0)\n", - "Info : It. 500 - 500 nodes created - worst tet radius 1.62253 (nodes removed 0 0)\n", - "Info : It. 1000 - 1000 nodes created - worst tet radius 1.59168 (nodes removed 0 0)\n", - "Info : It. 1500 - 1500 nodes created - worst tet radius 1.17852 (nodes removed 0 0)\n", - "Info : It. 2000 - 2000 nodes created - worst tet radius 1.07511 (nodes removed 0 0)\n", - "Info : It. 2500 - 2500 nodes created - worst tet radius 1.00584 (nodes removed 0 0)\n", - "Info : 3D refinement terminated (7240 nodes total):\n", - "Info : - 0 Delaunay cavities modified for star shapeness\n", + "Info : It. 0 - 0 nodes created - worst tet radius 6.98378 (nodes removed 0 0)\n", + "Info : It. 500 - 500 nodes created - worst tet radius 1.8719 (nodes removed 0 0)\n", + "Info : It. 1000 - 1000 nodes created - worst tet radius 1.57766 (nodes removed 0 0)\n", + "Info : It. 1500 - 1500 nodes created - worst tet radius 1.29901 (nodes removed 0 0)\n", + "Info : It. 2000 - 2000 nodes created - worst tet radius 1.19067 (nodes removed 0 0)\n", + "Info : It. 2500 - 2500 nodes created - worst tet radius 1.15209 (nodes removed 0 0)\n", + "Info : It. 3000 - 3000 nodes created - worst tet radius 1.04992 (nodes removed 0 0)\n", + "Info : It. 3500 - 3500 nodes created - worst tet radius 1.00129 (nodes removed 0 0)\n", + "Info : 3D refinement terminated (8617 nodes total):\n", + "Info : - 3 Delaunay cavities modified for star shapeness\n", "Info : - 0 nodes could not be inserted\n", - "Info : - 39350 tetrahedra created in 0.313268 sec. (125611 tets/s)\n", + "Info : - 49457 tetrahedra created in 0.187936 sec. (263159 tets/s)\n", "Info : 0 node relocations\n", - "Info : Done meshing 3D (Wall 0.687168s, CPU 0.692155s)\n", + "Info : Done meshing 3D (Wall 0.366915s, CPU 0.368009s)\n", "Info : Optimizing mesh...\n", "Info : Optimizing volume 1\n", - "Info : Optimization starts (volume = 4.68e-06) with worst = 0.00503517 / average = 0.666636:\n", - "Info : 0.00 < quality < 0.10 : 70 elements\n", - "Info : 0.10 < quality < 0.20 : 144 elements\n", - "Info : 0.20 < quality < 0.30 : 279 elements\n", - "Info : 0.30 < quality < 0.40 : 636 elements\n", - "Info : 0.40 < quality < 0.50 : 1679 elements\n", - "Info : 0.50 < quality < 0.60 : 3067 elements\n", - "Info : 0.60 < quality < 0.70 : 3211 elements\n", - "Info : 0.70 < quality < 0.80 : 3170 elements\n", - "Info : 0.80 < quality < 0.90 : 2957 elements\n", - "Info : 0.90 < quality < 1.00 : 1425 elements\n", - "Info : 457 edge swaps, 5 node relocations (volume = 4.68e-06): worst = 0.194615 / average = 0.679957 (Wall 0.0137797s, CPU 0.012811s)\n", - "Info : 462 edge swaps, 5 node relocations (volume = 4.68e-06): worst = 0.194615 / average = 0.680003 (Wall 0.0161427s, CPU 0.015292s)\n", + "Info : Optimization starts (volume = 4.68e-06) with worst = 0.00612292 / average = 0.668891:\n", + "Info : 0.00 < quality < 0.10 : 49 elements\n", + "Info : 0.10 < quality < 0.20 : 165 elements\n", + "Info : 0.20 < quality < 0.30 : 307 elements\n", + "Info : 0.30 < quality < 0.40 : 595 elements\n", + "Info : 0.40 < quality < 0.50 : 1714 elements\n", + "Info : 0.50 < quality < 0.60 : 2962 elements\n", + "Info : 0.60 < quality < 0.70 : 3221 elements\n", + "Info : 0.70 < quality < 0.80 : 3225 elements\n", + "Info : 0.80 < quality < 0.90 : 3011 elements\n", + "Info : 0.90 < quality < 1.00 : 1497 elements\n", + "Info : 474 edge swaps, 11 node relocations (volume = 4.68e-06): worst = 0.200945 / average = 0.683435 (Wall 0.0038532s, CPU 0.003907s)\n", + "Info : 483 edge swaps, 15 node relocations (volume = 4.68e-06): worst = 0.200945 / average = 0.683556 (Wall 0.0047943s, CPU 0.00488s)\n", "Info : No ill-shaped tets in the mesh :-)\n", "Info : 0.00 < quality < 0.10 : 0 elements\n", - "Info : 0.10 < quality < 0.20 : 3 elements\n", - "Info : 0.20 < quality < 0.30 : 21 elements\n", - "Info : 0.30 < quality < 0.40 : 652 elements\n", - "Info : 0.40 < quality < 0.50 : 1712 elements\n", - "Info : 0.50 < quality < 0.60 : 3057 elements\n", - "Info : 0.60 < quality < 0.70 : 3202 elements\n", - "Info : 0.70 < quality < 0.80 : 3191 elements\n", - "Info : 0.80 < quality < 0.90 : 2986 elements\n", - "Info : 0.90 < quality < 1.00 : 1427 elements\n", + "Info : 0.10 < quality < 0.20 : 0 elements\n", + "Info : 0.20 < quality < 0.30 : 20 elements\n", + "Info : 0.30 < quality < 0.40 : 604 elements\n", + "Info : 0.40 < quality < 0.50 : 1714 elements\n", + "Info : 0.50 < quality < 0.60 : 2971 elements\n", + "Info : 0.60 < quality < 0.70 : 3213 elements\n", + "Info : 0.70 < quality < 0.80 : 3247 elements\n", + "Info : 0.80 < quality < 0.90 : 3038 elements\n", + "Info : 0.90 < quality < 1.00 : 1510 elements\n", "Info : Optimizing volume 2\n", - "Info : Optimization starts (volume = 0.00044604) with worst = 0.0106619 / average = 0.665053:\n", - "Info : 0.00 < quality < 0.10 : 52 elements\n", - "Info : 0.10 < quality < 0.20 : 210 elements\n", - "Info : 0.20 < quality < 0.30 : 490 elements\n", - "Info : 0.30 < quality < 0.40 : 757 elements\n", - "Info : 0.40 < quality < 0.50 : 1879 elements\n", - "Info : 0.50 < quality < 0.60 : 4094 elements\n", - "Info : 0.60 < quality < 0.70 : 5056 elements\n", - "Info : 0.70 < quality < 0.80 : 5034 elements\n", - "Info : 0.80 < quality < 0.90 : 3645 elements\n", - "Info : 0.90 < quality < 1.00 : 1495 elements\n", - "Info : 669 edge swaps, 18 node relocations (volume = 0.00044604): worst = 0.208059 / average = 0.679228 (Wall 0.0164418s, CPU 0.016652s)\n", - "Info : 675 edge swaps, 19 node relocations (volume = 0.00044604): worst = 0.224108 / average = 0.679285 (Wall 0.018902s, CPU 0.019261s)\n", + "Info : Optimization starts (volume = 0.00209525) with worst = 0.00834787 / average = 0.679352:\n", + "Info : 0.00 < quality < 0.10 : 111 elements\n", + "Info : 0.10 < quality < 0.20 : 358 elements\n", + "Info : 0.20 < quality < 0.30 : 547 elements\n", + "Info : 0.30 < quality < 0.40 : 945 elements\n", + "Info : 0.40 < quality < 0.50 : 2285 elements\n", + "Info : 0.50 < quality < 0.60 : 5394 elements\n", + "Info : 0.60 < quality < 0.70 : 7087 elements\n", + "Info : 0.70 < quality < 0.80 : 7471 elements\n", + "Info : 0.80 < quality < 0.90 : 5938 elements\n", + "Info : 0.90 < quality < 1.00 : 2575 elements\n", + "Info : 922 edge swaps, 43 node relocations (volume = 0.00209525): worst = 0.0561531 / average = 0.69422 (Wall 0.0108975s, CPU 0.010873s)\n", + "Info : 936 edge swaps, 55 node relocations (volume = 0.00209525): worst = 0.136046 / average = 0.694289 (Wall 0.0136934s, CPU 0.013727s)\n", + "Info : 940 edge swaps, 60 node relocations (volume = 0.00209525): worst = 0.136046 / average = 0.694374 (Wall 0.0161598s, CPU 0.016232s)\n", "Info : No ill-shaped tets in the mesh :-)\n", "Info : 0.00 < quality < 0.10 : 0 elements\n", - "Info : 0.10 < quality < 0.20 : 0 elements\n", - "Info : 0.20 < quality < 0.30 : 59 elements\n", - "Info : 0.30 < quality < 0.40 : 748 elements\n", - "Info : 0.40 < quality < 0.50 : 1893 elements\n", - "Info : 0.50 < quality < 0.60 : 4112 elements\n", - "Info : 0.60 < quality < 0.70 : 5100 elements\n", - "Info : 0.70 < quality < 0.80 : 5095 elements\n", - "Info : 0.80 < quality < 0.90 : 3671 elements\n", - "Info : 0.90 < quality < 1.00 : 1473 elements\n", - "Info : Done optimizing mesh (Wall 0.0852932s, CPU 0.08598s)\n", - "Info : 7240 nodes 48814 elements\n", + "Info : 0.10 < quality < 0.20 : 45 elements\n", + "Info : 0.20 < quality < 0.30 : 25 elements\n", + "Info : 0.30 < quality < 0.40 : 917 elements\n", + "Info : 0.40 < quality < 0.50 : 2280 elements\n", + "Info : 0.50 < quality < 0.60 : 5392 elements\n", + "Info : 0.60 < quality < 0.70 : 7094 elements\n", + "Info : 0.70 < quality < 0.80 : 7561 elements\n", + "Info : 0.80 < quality < 0.90 : 6037 elements\n", + "Info : 0.90 < quality < 1.00 : 2547 elements\n", + "Info : Done optimizing mesh (Wall 0.0451886s, CPU 0.04548s)\n", + "Info : 8617 nodes 59462 elements\n", "Info : Optimizing mesh (Netgen)...\n", "Info : Optimizing volume 1\n", - "Info : CalcLocalH: 4961 Points 16256 Elements 8632 Surface Elements \n", + "Info : CalcLocalH: 4982 Points 16331 Elements 8650 Surface Elements \n", "Info : Remove Illegal Elements \n", - "Info : 234 illegal tets \n", + "Info : 235 illegal tets \n", "Info : SplitImprove \n", - "Info : badmax = 252.871 \n", + "Info : badmax = 52.1934 \n", "Info : 36 splits performed \n", "Info : SwapImprove \n", "Info : 38 swaps performed \n", "Info : SwapImprove2 \n", - "Info : 0 swaps performed \n", - "Info : 175 illegal tets \n", + "Info : 2 swaps performed \n", + "Info : 165 illegal tets \n", "Info : SplitImprove \n", - "Info : badmax = 341.789 \n", - "Info : 35 splits performed \n", + "Info : badmax = 1426.55 \n", + "Info : 36 splits performed \n", "Info : SwapImprove \n", - "Info : 12 swaps performed \n", + "Info : 14 swaps performed \n", "Info : SwapImprove2 \n", + "Info : 9 swaps performed \n", + "Info : 66 illegal tets \n", + "Info : SplitImprove \n", + "Info : badmax = 3173.75 \n", + "Info : 19 splits performed \n", + "Info : SwapImprove \n", "Info : 3 swaps performed \n", - "Info : 99 illegal tets \n", + "Info : SwapImprove2 \n", + "Info : 2 swaps performed \n", + "Info : 19 illegal tets \n", "Info : SplitImprove \n", - "Info : badmax = 3903.25 \n", - "Info : 26 splits performed \n", + "Info : badmax = 1562.36 \n", + "Info : 7 splits performed \n", "Info : SwapImprove \n", - "Info : 6 swaps performed \n", + "Info : 1 swaps performed \n", "Info : SwapImprove2 \n", "Info : 0 swaps performed \n", - "Info : 30 illegal tets \n", + "Info : 5 illegal tets \n", "Info : SplitImprove \n", - "Info : badmax = 520.175 \n", - "Info : 10 splits performed \n", + "Info : badmax = 448.247 \n", + "Info : 2 splits performed \n", "Info : SwapImprove \n", - "Info : 2 swaps performed \n", + "Info : 0 swaps performed \n", "Info : SwapImprove2 \n", - "Info : 1 swaps performed \n", + "Info : 0 swaps performed \n", "Info : 0 illegal tets \n", "Info : Volume Optimization \n", "Info : CombineImprove \n", - "Info : 35 elements combined \n", + "Info : 25 elements combined \n", "Info : ImproveMesh \n", - "Info : Total badness = 30322.5 \n", - "Info : Total badness = 28244 \n", + "Info : Total badness = 30327.4 \n", + "Info : Total badness = 28186.4 \n", "Info : SplitImprove \n", - "Info : badmax = 58.5749 \n", + "Info : badmax = 92.0926 \n", "Info : 0 splits performed \n", "Info : ImproveMesh \n", - "Info : Total badness = 28244 \n", - "Info : Total badness = 28059.9 \n", + "Info : Total badness = 28186.4 \n", + "Info : Total badness = 27998.3 \n", "Info : SwapImprove \n", - "Info : 908 swaps performed \n", + "Info : 860 swaps performed \n", "Info : SwapImprove2 \n", "Info : 0 swaps performed \n", "Info : ImproveMesh \n", - "Info : Total badness = 26349 \n", - "Info : Total badness = 26007.3 \n", + "Info : Total badness = 26353.1 \n", + "Info : Total badness = 25988.3 \n", "Info : CombineImprove \n", - "Info : 0 elements combined \n", + "Info : 2 elements combined \n", "Info : ImproveMesh \n", - "Info : Total badness = 26007.3 \n", - "Info : Total badness = 25998.2 \n", + "Info : Total badness = 25962 \n", + "Info : Total badness = 25951.4 \n", "Info : SplitImprove \n", - "Info : badmax = 58.3037 \n", - "Info : 1 splits performed \n", + "Info : badmax = 51.0927 \n", + "Info : 0 splits performed \n", "Info : ImproveMesh \n", - "Info : Total badness = 26002.7 \n", - "Info : Total badness = 26000.2 \n", + "Info : Total badness = 25951.4 \n", + "Info : Total badness = 25951.2 \n", "Info : SwapImprove \n", - "Info : 191 swaps performed \n", + "Info : 165 swaps performed \n", "Info : SwapImprove2 \n", "Info : 0 swaps performed \n", "Info : ImproveMesh \n", - "Info : Total badness = 25821 \n", - "Info : Total badness = 25728 \n", + "Info : Total badness = 25829.2 \n", + "Info : Total badness = 25742.2 \n", "Info : CombineImprove \n", - "Info : 2 elements combined \n", + "Info : 0 elements combined \n", "Info : ImproveMesh \n", - "Info : Total badness = 25709.6 \n", - "Info : Total badness = 25707.2 \n", + "Info : Total badness = 25742.2 \n", + "Info : Total badness = 25740.8 \n", "Info : SplitImprove \n", - "Info : badmax = 58.3134 \n", + "Info : badmax = 51.4205 \n", "Info : 0 splits performed \n", "Info : ImproveMesh \n", - "Info : Total badness = 25707.2 \n", - "Info : Total badness = 25707.2 \n", + "Info : Total badness = 25740.8 \n", + "Info : Total badness = 25740.7 \n", "Info : SwapImprove \n", - "Info : 60 swaps performed \n", + "Info : 78 swaps performed \n", "Info : SwapImprove2 \n", "Info : 0 swaps performed \n", "Info : ImproveMesh \n", - "Info : Total badness = 25668.1 \n", - "Info : Total badness = 25627.4 \n", + "Info : Total badness = 25680.6 \n", + "Info : Total badness = 25642.7 \n", "Info : Optimizing volume 2\n", - "Info : CalcLocalH: 5646 Points 22151 Elements 7450 Surface Elements \n", + "Info : CalcLocalH: 7962 Points 31901 Elements 10192 Surface Elements \n", "Info : Remove Illegal Elements \n", - "Info : 417 illegal tets \n", + "Info : 371 illegal tets \n", "Info : SplitImprove \n", - "Info : badmax = 55.5535 \n", - "Info : 60 splits performed \n", + "Info : badmax = 140.348 \n", + "Info : 59 splits performed \n", "Info : SwapImprove \n", - "Info : 79 swaps performed \n", + "Info : 67 swaps performed \n", "Info : SwapImprove2 \n", - "Info : 2 swaps performed \n", - "Info : 266 illegal tets \n", + "Info : 3 swaps performed \n", + "Info : 226 illegal tets \n", "Info : SplitImprove \n", - "Info : badmax = 84.8463 \n", - "Info : 56 splits performed \n", + "Info : badmax = 140.348 \n", + "Info : 51 splits performed \n", "Info : SwapImprove \n", - "Info : 31 swaps performed \n", + "Info : 18 swaps performed \n", "Info : SwapImprove2 \n", - "Info : 0 swaps performed \n", - "Info : 135 illegal tets \n", + "Info : 3 swaps performed \n", + "Info : 101 illegal tets \n", "Info : SplitImprove \n", - "Info : badmax = 99.7668 \n", - "Info : 35 splits performed \n", + "Info : badmax = 140.348 \n", + "Info : 23 splits performed \n", "Info : SwapImprove \n", "Info : 9 swaps performed \n", "Info : SwapImprove2 \n", - "Info : 1 swaps performed \n", - "Info : 41 illegal tets \n", + "Info : 0 swaps performed \n", + "Info : 38 illegal tets \n", "Info : SplitImprove \n", - "Info : badmax = 261.358 \n", - "Info : 12 splits performed \n", + "Info : badmax = 140.348 \n", + "Info : 11 splits performed \n", "Info : SwapImprove \n", - "Info : 3 swaps performed \n", + "Info : 1 swaps performed \n", "Info : SwapImprove2 \n", "Info : 0 swaps performed \n", - "Info : 8 illegal tets \n", + "Info : 6 illegal tets \n", "Info : SplitImprove \n", - "Info : badmax = 261.358 \n", - "Info : 3 splits performed \n", + "Info : badmax = 140.348 \n", + "Info : 2 splits performed \n", "Info : SwapImprove \n", "Info : 0 swaps performed \n", "Info : SwapImprove2 \n", @@ -616,65 +626,65 @@ "Info : 0 illegal tets \n", "Info : Volume Optimization \n", "Info : CombineImprove \n", - "Info : 93 elements combined \n", + "Info : 124 elements combined \n", "Info : ImproveMesh \n", - "Info : Total badness = 38986.4 \n", - "Info : Total badness = 35895.3 \n", + "Info : Total badness = 53285.9 \n", + "Info : Total badness = 49148.9 \n", "Info : SplitImprove \n", - "Info : badmax = 47.9424 \n", - "Info : 2 splits performed \n", + "Info : badmax = 76.023 \n", + "Info : 4 splits performed \n", "Info : ImproveMesh \n", - "Info : Total badness = 35904.7 \n", - "Info : Total badness = 35467.7 \n", + "Info : Total badness = 49180.1 \n", + "Info : Total badness = 48611.8 \n", "Info : SwapImprove \n", - "Info : 1324 swaps performed \n", + "Info : 1773 swaps performed \n", "Info : SwapImprove2 \n", "Info : 0 swaps performed \n", "Info : ImproveMesh \n", - "Info : Total badness = 32938.4 \n", - "Info : Total badness = 32124.1 \n", + "Info : Total badness = 45369.5 \n", + "Info : Total badness = 44382.1 \n", "Info : CombineImprove \n", - "Info : 6 elements combined \n", + "Info : 15 elements combined \n", "Info : ImproveMesh \n", - "Info : Total badness = 32059.7 \n", - "Info : Total badness = 31998 \n", + "Info : Total badness = 44227 \n", + "Info : Total badness = 44146.3 \n", "Info : SplitImprove \n", - "Info : badmax = 34.7639 \n", - "Info : 1 splits performed \n", + "Info : badmax = 45.361 \n", + "Info : 3 splits performed \n", "Info : ImproveMesh \n", - "Info : Total badness = 32002.9 \n", - "Info : Total badness = 31986.6 \n", + "Info : Total badness = 44168.6 \n", + "Info : Total badness = 44152.4 \n", "Info : SwapImprove \n", - "Info : 286 swaps performed \n", + "Info : 369 swaps performed \n", "Info : SwapImprove2 \n", "Info : 0 swaps performed \n", "Info : ImproveMesh \n", - "Info : Total badness = 31753.2 \n", - "Info : Total badness = 31578.6 \n", + "Info : Total badness = 43929.2 \n", + "Info : Total badness = 43713.4 \n", "Info : CombineImprove \n", - "Info : 4 elements combined \n", + "Info : 2 elements combined \n", "Info : ImproveMesh \n", - "Info : Total badness = 31536.3 \n", - "Info : Total badness = 31523.9 \n", + "Info : Total badness = 43696.5 \n", + "Info : Total badness = 43682.7 \n", "Info : SplitImprove \n", - "Info : badmax = 33.346 \n", + "Info : badmax = 38.6212 \n", "Info : 0 splits performed \n", "Info : ImproveMesh \n", - "Info : Total badness = 31523.9 \n", - "Info : Total badness = 31522.4 \n", + "Info : Total badness = 43682.7 \n", + "Info : Total badness = 43680.8 \n", "Info : SwapImprove \n", - "Info : 97 swaps performed \n", + "Info : 128 swaps performed \n", "Info : SwapImprove2 \n", "Info : 0 swaps performed \n", "Info : ImproveMesh \n", - "Info : Total badness = 31459.8 \n", - "Info : Total badness = 31392.9 \n", - "Info : Done optimizing mesh (Wall 2.66189s, CPU 2.67502s)\n", + "Info : Total badness = 43609.5 \n", + "Info : Total badness = 43535.6 \n", + "Info : Done optimizing mesh (Wall 1.56133s, CPU 1.56534s)\n", "Info : Writing 'patch_antenna.msh'...\n", "Mesh saved to patch_antenna.msh\n", "Info : Done writing 'patch_antenna.msh'\n", - " Nodes: 7377\n", - " Elements: 48278\n", + " Nodes: 8702\n", + " Elements: 58353\n", "Info : Writing 'patch_antenna.msh'...\n", "Info : Done writing 'patch_antenna.msh'\n" ] @@ -735,7 +745,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 6, "id": "3c212d13", "metadata": { "execution": { @@ -762,38 +772,31 @@ "Groups to render transparent: air_box__None\n", "\n", "Mesh loaded successfully with 2 cell blocks\n", - "Found 9400 triangles total\n", + "Found 10192 triangles total\n", "Physical group tags in mesh: {3: 'top_conductor', 4: 'ground_plane', 5: 'lumped_port', 6: 'air_box__None', 7: 'air_box__substrate'}\n" ] }, { "data": { "text/html": [ - "
" ], @@ -835,7 +838,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "id": "8a378602", "metadata": { "execution": { @@ -857,9 +860,9 @@ "source": [ "output_file: str = \"patch_antenna.json\"\n", "# Sweep de simulación \n", - "freq_min: float = 3.2\n", - "freq_max: float = 3.5\n", - "freq_step: float = 0.005\n", + "freq_min: float = 2.5\n", + "freq_max: float = 4\n", + "freq_step: float = 0.0025\n", "\n", "solver_order: int = 2" ] @@ -884,7 +887,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 8, "id": "9d7b7f83", "metadata": {}, "outputs": [ @@ -915,12 +918,12 @@ " 'R': 50.0,\n", " 'Excitation': True,\n", " 'Direction': '+Z'}],\n", - " 'Postprocessing': {'FarField': {'Attributes': [6], 'NSample': 32000}}},\n", + " 'Postprocessing': {'FarField': {'Attributes': [6], 'NSample': 16000}}},\n", " 'Solver': {'Order': 2,\n", " 'Device': 'CPU',\n", - " 'Driven': {'MinFreq': 3.2,\n", - " 'MaxFreq': 3.5,\n", - " 'FreqStep': 0.005,\n", + " 'Driven': {'MinFreq': 2,\n", + " 'MaxFreq': 5,\n", + " 'FreqStep': 0.025,\n", " 'SaveStep': 5,\n", " 'AdaptiveTol': 0.001},\n", " 'Linear': {'Type': 'Default',\n", @@ -929,7 +932,7 @@ " 'MaxIts': 500}}}" ] }, - "execution_count": 14, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -958,7 +961,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "b60b1c59", "metadata": {}, "outputs": [ @@ -966,7 +969,8 @@ "name": "stdout", "output_type": "stream", "text": [ - " Running: apptainer exec --pwd /work --bind /home/loloc/PalaceToolkit/docs/examples:/work /mnt/c/Users/loloc/Desktop/Palace/palace/Palace.sif mpirun -np 16 /opt/palace/bin/palace-x86_64.bin /work/patch.config\n", + " Running: /home/martin/.cache/palacetoolkit/runtime/palace-cpu-v0.1.2/bin/palace -np 16 /home/martin/Desktop/PalaceToolkit/docs/examples/patch.config\n", + ">> /usr/bin/mpirun -n 16 /home/martin/.cache/palacetoolkit/runtime/palace-cpu-v0.1.2/bin/palace-x86_64.bin /home/martin/Desktop/PalaceToolkit/docs/examples/patch.config\n", "\n", "_____________ _______\n", "_____ __ \\____ __ /____ ____________\n", @@ -977,42 +981,45 @@ "\n", "\u001b[38;2;255;255;000m--> Warning!\u001b[0m\n", "Output folder is not empty; program will overwrite content! (postpro/patch)\n", - "Git changeset ID: v0.15.0-13-g2bbc5096\n", + "Git changeset ID: v0.16.1-51-g4f2e2d97\n", "Running with 16 MPI processes, 1 OpenMP thread\n", "Device configuration: omp,cpu\n", "Memory configuration: host-std\n", "libCEED backend: /cpu/self/xsmm/blocked\n", "\n", - "Added 1205 duplicate vertices for interior boundaries in the mesh\n", - "Added 3173 duplicate boundary elements for interior boundaries in the mesh\n", - "Finished partitioning mesh into 16 subdomains\n", + "Added 2167 duplicate vertices for interior boundaries in the mesh\n", + "Added 5149 duplicate boundary elements for interior boundaries in the mesh\n", "\n", "Characteristic length and time scales:\n", - " Lc = 1.200e-01 m, tc = 4.003e-01 ns\n", + " Lc = 1.509e-01 m, tc = 5.034e-01 ns\n", + "Finished partitioning mesh into 16 subdomains\n", "\n", "Mesh curvature order: 1\n", "Mesh bounding box:\n", - " (Xmin, Ymin, Zmin) = (-6.000e-02, -6.000e-02, +0.000e+00) m\n", - " (Xmax, Ymax, Zmax) = (+6.000e-02, +6.000e-02, +3.130e-02) m\n", + " (Xmin, Ymin, Zmin) = (-7.545e-02, -7.545e-02, -4.545e-02) m\n", + " (Xmax, Ymax, Zmax) = (+7.545e-02, +7.545e-02, +4.675e-02) m\n", "\n", "Parallel Mesh Stats:\n", "\n", " minimum average maximum total\n", - " vertices 462 536 612 8582\n", - " edges 3001 3186 3399 50983\n", - " faces 4834 5017 5229 80274\n", - " elements 2303 2366 2432 37871\n", - " neighbors 3 7 13\n", + " vertices 589 679 841 10869\n", + " edges 3675 3994 4341 63909\n", + " faces 5953 6260 6568 100166\n", + " elements 2863 2945 3033 47123\n", + " neighbors 4 7 12\n", "\n", " minimum maximum\n", - " h 0.0010996 0.160314\n", - " kappa 1.06729 15.0005\n", + " h 0.00109226 0.151906\n", + " kappa 1.06222 14.1403\n", + "\n", + "Estimated current per-rank memory usage is: Min. 52.1M, Max. 82.2M, Avg. 54.3M, Total 869.1M\n", + "Estimated current per-node memory usage is: Min. 871.3M, Max. 871.3M, Avg. 871.3M, Total 871.3M\n", "\n", "Configuring Robin absorbing BC (order 2) at attributes:\n", " 6\n", "\n", "Configuring Robin impedance BC for lumped ports at attributes:\n", - " 5: Rs = 8.333e+01 Ω/sq, n = (-1.0,+0.0,+0.0)\n", + " 5: Rs = 7.692e+01 Ω/sq, n = (-1.0,+0.0,+0.0)\n", "\n", "Configuring lumped port circuit properties:\n", " Index = 1: R = 5.000e+01 Ω\n", @@ -1028,916 +1035,2647 @@ " Lumped port 1\n", "\n", "Beginning PROM construction offline phase:\n", - " 61 points for frequency sweep over [3.200e+00, 3.500e+00] GHz\n", + " 121 points for frequency sweep over [2.000e+00, 5.000e+00] GHz\n", "\n", "Assembling system matrices, number of global unknowns:\n", - " H1 (p = 2): 59565, ND (p = 2): 262514, RT (p = 2): 354435\n", + " H1 (p = 2): 74778, ND (p = 2): 328150, RT (p = 2): 441867\n", " Operator assembly level: Partial\n", " Mesh geometries:\n", - " Tetrahedron: P = 20, Q = 11 (quadrature order = 4)\n", + " Tetrahedron: P = 20, Q = 14 (quadrature order = 4)\n", "\n", "Assembling multigrid hierarchy:\n", - " Level 0 (p = 1): 50983 unknowns\n", - " Level 1 (p = 2): 262514 unknowns\n", - " Level 0 (auxiliary) (p = 1): 8582 unknowns\n", - " Level 1 (auxiliary) (p = 2): 59565 unknowns\n", + " Level 0 (p = 1): 63909 unknowns\n", + " Level 1 (p = 2): 328150 unknowns\n", + " Level 0 (auxiliary) (p = 1): 10869 unknowns\n", + " Level 1 (auxiliary) (p = 2): 74778 unknowns\n", "\n", " Residual norms for GMRES solve\n", - " 0 (restart 0) KSP residual norm 3.592713e+01\n", - " 1 (restart 0) KSP residual norm 2.896578e+01\n", - " 2 (restart 0) KSP residual norm 1.765494e+01\n", - " 3 (restart 0) KSP residual norm 1.506919e+01\n", - " 4 (restart 0) KSP residual norm 1.371841e+01\n", - " 5 (restart 0) KSP residual norm 7.473415e+00\n", - " 6 (restart 0) KSP residual norm 6.828847e+00\n", - " 7 (restart 0) KSP residual norm 5.399633e+00\n", - " 8 (restart 0) KSP residual norm 5.234950e+00\n", - " 9 (restart 0) KSP residual norm 4.933065e+00\n", - " 10 (restart 0) KSP residual norm 4.226110e+00\n", - " 11 (restart 0) KSP residual norm 3.823118e+00\n", - " 12 (restart 0) KSP residual norm 3.149198e+00\n", - " 13 (restart 0) KSP residual norm 1.831533e+00\n", - " 14 (restart 0) KSP residual norm 1.585717e+00\n", - " 15 (restart 0) KSP residual norm 1.183864e+00\n", - " 16 (restart 0) KSP residual norm 1.146066e+00\n", - " 17 (restart 0) KSP residual norm 8.881937e-01\n", - " 18 (restart 0) KSP residual norm 7.783451e-01\n", - " 19 (restart 0) KSP residual norm 6.887636e-01\n", - " 20 (restart 0) KSP residual norm 6.085585e-01\n", - " 21 (restart 0) KSP residual norm 5.122736e-01\n", - " 22 (restart 0) KSP residual norm 4.617992e-01\n", - " 23 (restart 0) KSP residual norm 4.160494e-01\n", - " 24 (restart 0) KSP residual norm 2.909192e-01\n", - " 25 (restart 0) KSP residual norm 2.570382e-01\n", - " 26 (restart 0) KSP residual norm 2.153653e-01\n", - " 27 (restart 0) KSP residual norm 1.670958e-01\n", - " 28 (restart 0) KSP residual norm 1.504651e-01\n", - " 29 (restart 0) KSP residual norm 1.104865e-01\n", - " 30 (restart 0) KSP residual norm 9.519503e-02\n", - " 31 (restart 0) KSP residual norm 8.049199e-02\n", - " 32 (restart 0) KSP residual norm 6.786595e-02\n", - " 33 (restart 0) KSP residual norm 5.857114e-02\n", - " 34 (restart 0) KSP residual norm 4.515901e-02\n", - " 35 (restart 0) KSP residual norm 3.311345e-02\n", - " 36 (restart 0) KSP residual norm 2.830380e-02\n", - " 37 (restart 0) KSP residual norm 1.988102e-02\n", - " 38 (restart 0) KSP residual norm 1.562713e-02\n", - " 39 (restart 0) KSP residual norm 1.234171e-02\n", - " 40 (restart 0) KSP residual norm 9.068405e-03\n", - " 41 (restart 0) KSP residual norm 6.794477e-03\n", - " 42 (restart 0) KSP residual norm 5.306834e-03\n", - " 43 (restart 0) KSP residual norm 3.463743e-03\n", - " 44 (restart 0) KSP residual norm 2.552707e-03\n", - " 45 (restart 0) KSP residual norm 1.950420e-03\n", - " 46 (restart 0) KSP residual norm 1.256356e-03\n", - " 47 (restart 0) KSP residual norm 8.050896e-04\n", - " 48 (restart 0) KSP residual norm 6.124858e-04\n", - " 49 (restart 0) KSP residual norm 4.802443e-04\n", - " 50 (restart 0) KSP residual norm 3.027014e-04\n", - " 51 (restart 0) KSP residual norm 1.928538e-04\n", - " 52 (restart 0) KSP residual norm 1.480187e-04\n", - " 53 (restart 0) KSP residual norm 1.061706e-04\n", - " 54 (restart 0) KSP residual norm 7.473632e-05\n", - " 55 (restart 0) KSP residual norm 5.007815e-05\n", - " 56 (restart 0) KSP residual norm 3.337831e-05\n", - " 57 (restart 0) KSP residual norm 1.938092e-05\n", - " 58 (restart 0) KSP residual norm 1.290368e-05\n", - " 59 (restart 0) KSP residual norm 8.948203e-06\n", - " 60 (restart 0) KSP residual norm 6.288464e-06\n", - " 61 (restart 0) KSP residual norm 4.051903e-06\n", - " 62 (restart 0) KSP residual norm 2.611195e-06\n", - " 63 (restart 0) KSP residual norm 1.392581e-06\n", - " 64 (restart 0) KSP residual norm 9.485532e-07\n", - " 65 (restart 0) KSP residual norm 6.850472e-07\n", - " 66 (restart 0) KSP residual norm 4.701273e-07\n", - " 67 (restart 0) KSP residual norm 2.674901e-07\n", - "GMRES solver converged in 67 iterations (avg. reduction factor: 7.563e-01)\n", - " Field energy E (2.889e-11 J) + H (1.851e-11 J) = 4.740e-11 J\n", + " 0 (restart 0) KSP residual norm 2.426242e+01\n", + " 1 (restart 0) KSP residual norm 2.416130e+01\n", + " 2 (restart 0) KSP residual norm 1.012523e+01\n", + " 3 (restart 0) KSP residual norm 6.543794e+00\n", + " 4 (restart 0) KSP residual norm 3.398588e+00\n", + " 5 (restart 0) KSP residual norm 2.331756e+00\n", + " 6 (restart 0) KSP residual norm 2.140156e+00\n", + " 7 (restart 0) KSP residual norm 1.974887e+00\n", + " 8 (restart 0) KSP residual norm 1.884254e+00\n", + " 9 (restart 0) KSP residual norm 1.841190e+00\n", + " 10 (restart 0) KSP residual norm 1.627606e+00\n", + " 11 (restart 0) KSP residual norm 1.595489e+00\n", + " 12 (restart 0) KSP residual norm 1.242564e+00\n", + " 13 (restart 0) KSP residual norm 1.187584e+00\n", + " 14 (restart 0) KSP residual norm 1.040834e+00\n", + " 15 (restart 0) KSP residual norm 1.005418e+00\n", + " 16 (restart 0) KSP residual norm 5.866892e-01\n", + " 17 (restart 0) KSP residual norm 5.762833e-01\n", + " 18 (restart 0) KSP residual norm 4.314852e-01\n", + " 19 (restart 0) KSP residual norm 3.779703e-01\n", + " 20 (restart 0) KSP residual norm 2.808849e-01\n", + " 21 (restart 0) KSP residual norm 2.645994e-01\n", + " 22 (restart 0) KSP residual norm 2.278364e-01\n", + " 23 (restart 0) KSP residual norm 1.954467e-01\n", + " 24 (restart 0) KSP residual norm 1.585538e-01\n", + " 25 (restart 0) KSP residual norm 1.301962e-01\n", + " 26 (restart 0) KSP residual norm 9.517341e-02\n", + " 27 (restart 0) KSP residual norm 7.691284e-02\n", + " 28 (restart 0) KSP residual norm 5.986380e-02\n", + " 29 (restart 0) KSP residual norm 5.132739e-02\n", + " 30 (restart 0) KSP residual norm 4.518578e-02\n", + " 31 (restart 0) KSP residual norm 3.747438e-02\n", + " 32 (restart 0) KSP residual norm 2.875942e-02\n", + " 33 (restart 0) KSP residual norm 1.699110e-02\n", + " 34 (restart 0) KSP residual norm 1.037546e-02\n", + " 35 (restart 0) KSP residual norm 7.469925e-03\n", + " 36 (restart 0) KSP residual norm 4.542559e-03\n", + " 37 (restart 0) KSP residual norm 3.835129e-03\n", + " 38 (restart 0) KSP residual norm 2.891989e-03\n", + " 39 (restart 0) KSP residual norm 2.217758e-03\n", + " 40 (restart 0) KSP residual norm 1.762398e-03\n", + " 41 (restart 0) KSP residual norm 1.465862e-03\n", + " 42 (restart 0) KSP residual norm 8.970793e-04\n", + " 43 (restart 0) KSP residual norm 6.184865e-04\n", + " 44 (restart 0) KSP residual norm 4.514462e-04\n", + " 45 (restart 0) KSP residual norm 2.789053e-04\n", + " 46 (restart 0) KSP residual norm 2.180808e-04\n", + " 47 (restart 0) KSP residual norm 1.722920e-04\n", + " 48 (restart 0) KSP residual norm 1.212798e-04\n", + " 49 (restart 0) KSP residual norm 8.938077e-05\n", + " 50 (restart 0) KSP residual norm 5.491557e-05\n", + " 51 (restart 0) KSP residual norm 3.596650e-05\n", + " 52 (restart 0) KSP residual norm 2.604729e-05\n", + " 53 (restart 0) KSP residual norm 1.618557e-05\n", + " 54 (restart 0) KSP residual norm 1.236923e-05\n", + " 55 (restart 0) KSP residual norm 8.768819e-06\n", + " 56 (restart 0) KSP residual norm 6.079809e-06\n", + " 57 (restart 0) KSP residual norm 4.352643e-06\n", + " 58 (restart 0) KSP residual norm 2.953897e-06\n", + " 59 (restart 0) KSP residual norm 2.141992e-06\n", + " 60 (restart 0) KSP residual norm 1.548946e-06\n", + " 61 (restart 0) KSP residual norm 1.099522e-06\n", + " 62 (restart 0) KSP residual norm 7.897301e-07\n", + " 63 (restart 0) KSP residual norm 5.241186e-07\n", + " 64 (restart 0) KSP residual norm 3.491599e-07\n", + " 65 (restart 0) KSP residual norm 2.221419e-07\n", + "GMRES solver converged in 65 iterations (avg. reduction factor: 7.522e-01)\n", + " Field energy E (6.806e-11 J) + H (9.746e-11 J) = 1.655e-10 J\n", "\n", " Residual norms for GMRES solve\n", - " 0 (restart 0) KSP residual norm 2.415852e+01\n", - " 1 (restart 0) KSP residual norm 2.066351e+01\n", - " 2 (restart 0) KSP residual norm 2.026227e+01\n", - " 3 (restart 0) KSP residual norm 1.996793e+01\n", - " 4 (restart 0) KSP residual norm 1.975795e+01\n", - " 5 (restart 0) KSP residual norm 1.461161e+01\n", - " 6 (restart 0) KSP residual norm 1.352137e+01\n", - " 7 (restart 0) KSP residual norm 9.330217e+00\n", - " 8 (restart 0) KSP residual norm 9.296343e+00\n", - " 9 (restart 0) KSP residual norm 5.905659e+00\n", - " 10 (restart 0) KSP residual norm 5.292027e+00\n", - " 11 (restart 0) KSP residual norm 3.465840e+00\n", - " 12 (restart 0) KSP residual norm 3.031973e+00\n", - " 13 (restart 0) KSP residual norm 2.680574e+00\n", - " 14 (restart 0) KSP residual norm 2.420949e+00\n", - " 15 (restart 0) KSP residual norm 2.060907e+00\n", - " 16 (restart 0) KSP residual norm 1.947183e+00\n", - " 17 (restart 0) KSP residual norm 1.684611e+00\n", - " 18 (restart 0) KSP residual norm 1.051564e+00\n", - " 19 (restart 0) KSP residual norm 9.777702e-01\n", - " 20 (restart 0) KSP residual norm 7.465137e-01\n", - " 21 (restart 0) KSP residual norm 6.528090e-01\n", - " 22 (restart 0) KSP residual norm 5.736091e-01\n", - " 23 (restart 0) KSP residual norm 4.321723e-01\n", - " 24 (restart 0) KSP residual norm 4.157386e-01\n", - " 25 (restart 0) KSP residual norm 3.333692e-01\n", - " 26 (restart 0) KSP residual norm 2.909830e-01\n", - " 27 (restart 0) KSP residual norm 2.559176e-01\n", - " 28 (restart 0) KSP residual norm 2.240865e-01\n", - " 29 (restart 0) KSP residual norm 1.989111e-01\n", - " 30 (restart 0) KSP residual norm 1.640751e-01\n", - " 31 (restart 0) KSP residual norm 1.360627e-01\n", - " 32 (restart 0) KSP residual norm 1.230459e-01\n", - " 33 (restart 0) KSP residual norm 9.436134e-02\n", - " 34 (restart 0) KSP residual norm 8.160657e-02\n", - " 35 (restart 0) KSP residual norm 6.669628e-02\n", - " 36 (restart 0) KSP residual norm 5.378423e-02\n", - " 37 (restart 0) KSP residual norm 4.399053e-02\n", - " 38 (restart 0) KSP residual norm 3.243319e-02\n", - " 39 (restart 0) KSP residual norm 2.533437e-02\n", - " 40 (restart 0) KSP residual norm 2.225539e-02\n", - " 41 (restart 0) KSP residual norm 1.732915e-02\n", - " 42 (restart 0) KSP residual norm 1.295442e-02\n", - " 43 (restart 0) KSP residual norm 1.075935e-02\n", - " 44 (restart 0) KSP residual norm 8.156918e-03\n", - " 45 (restart 0) KSP residual norm 6.070413e-03\n", - " 46 (restart 0) KSP residual norm 4.648368e-03\n", - " 47 (restart 0) KSP residual norm 3.707381e-03\n", - " 48 (restart 0) KSP residual norm 2.892246e-03\n", - " 49 (restart 0) KSP residual norm 2.251139e-03\n", - " 50 (restart 0) KSP residual norm 1.638273e-03\n", - " 51 (restart 0) KSP residual norm 1.202292e-03\n", - " 52 (restart 0) KSP residual norm 9.620782e-04\n", - " 53 (restart 0) KSP residual norm 6.991879e-04\n", - " 54 (restart 0) KSP residual norm 4.878125e-04\n", - " 55 (restart 0) KSP residual norm 3.630414e-04\n", - " 56 (restart 0) KSP residual norm 2.593964e-04\n", - " 57 (restart 0) KSP residual norm 1.624763e-04\n", - " 58 (restart 0) KSP residual norm 1.101293e-04\n", - " 59 (restart 0) KSP residual norm 8.085074e-05\n", - " 60 (restart 0) KSP residual norm 5.636985e-05\n", - " 61 (restart 0) KSP residual norm 3.927681e-05\n", - " 62 (restart 0) KSP residual norm 2.899280e-05\n", - " 63 (restart 0) KSP residual norm 2.004164e-05\n", - " 64 (restart 0) KSP residual norm 1.460559e-05\n", - " 65 (restart 0) KSP residual norm 9.929097e-06\n", - " 66 (restart 0) KSP residual norm 6.900434e-06\n", - " 67 (restart 0) KSP residual norm 4.597205e-06\n", - " 68 (restart 0) KSP residual norm 2.620844e-06\n", - " 69 (restart 0) KSP residual norm 1.704854e-06\n", - " 70 (restart 0) KSP residual norm 1.169262e-06\n", - " 71 (restart 0) KSP residual norm 6.895123e-07\n", - " 72 (restart 0) KSP residual norm 4.273952e-07\n", - " 73 (restart 0) KSP residual norm 2.799964e-07\n", - " 74 (restart 0) KSP residual norm 1.794266e-07\n", - "GMRES solver converged in 74 iterations (avg. reduction factor: 7.765e-01)\n", - " Field energy E (3.675e-11 J) + H (2.928e-11 J) = 6.603e-11 J\n", + " 0 (restart 0) KSP residual norm 3.509198e+01\n", + " 1 (restart 0) KSP residual norm 3.443873e+01\n", + " 2 (restart 0) KSP residual norm 3.427845e+01\n", + " 3 (restart 0) KSP residual norm 3.308026e+01\n", + " 4 (restart 0) KSP residual norm 3.283438e+01\n", + " 5 (restart 0) KSP residual norm 2.690016e+01\n", + " 6 (restart 0) KSP residual norm 2.684082e+01\n", + " 7 (restart 0) KSP residual norm 2.056678e+01\n", + " 8 (restart 0) KSP residual norm 1.907380e+01\n", + " 9 (restart 0) KSP residual norm 1.576814e+01\n", + " 10 (restart 0) KSP residual norm 1.455286e+01\n", + " 11 (restart 0) KSP residual norm 1.162295e+01\n", + " 12 (restart 0) KSP residual norm 1.158747e+01\n", + " 13 (restart 0) KSP residual norm 1.014679e+01\n", + " 14 (restart 0) KSP residual norm 9.901602e+00\n", + " 15 (restart 0) KSP residual norm 8.794561e+00\n", + " 16 (restart 0) KSP residual norm 7.734833e+00\n", + " 17 (restart 0) KSP residual norm 7.640496e+00\n", + " 18 (restart 0) KSP residual norm 6.926673e+00\n", + " 19 (restart 0) KSP residual norm 6.735535e+00\n", + " 20 (restart 0) KSP residual norm 5.384661e+00\n", + " 21 (restart 0) KSP residual norm 5.311569e+00\n", + " 22 (restart 0) KSP residual norm 4.502261e+00\n", + " 23 (restart 0) KSP residual norm 4.311729e+00\n", + " 24 (restart 0) KSP residual norm 3.769145e+00\n", + " 25 (restart 0) KSP residual norm 3.674645e+00\n", + " 26 (restart 0) KSP residual norm 3.286148e+00\n", + " 27 (restart 0) KSP residual norm 3.111570e+00\n", + " 28 (restart 0) KSP residual norm 2.862290e+00\n", + " 29 (restart 0) KSP residual norm 2.704175e+00\n", + " 30 (restart 0) KSP residual norm 2.508496e+00\n", + " 31 (restart 0) KSP residual norm 2.423069e+00\n", + " 32 (restart 0) KSP residual norm 2.028055e+00\n", + " 33 (restart 0) KSP residual norm 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norm 1.620428e-04\n", + "108 (restart 0) KSP residual norm 1.305797e-04\n", + "109 (restart 0) KSP residual norm 1.070893e-04\n", + "110 (restart 0) KSP residual norm 8.926042e-05\n", + "111 (restart 0) KSP residual norm 7.248205e-05\n", + "112 (restart 0) KSP residual norm 5.887652e-05\n", + "113 (restart 0) KSP residual norm 4.817131e-05\n", + "114 (restart 0) KSP residual norm 3.853079e-05\n", + "115 (restart 0) KSP residual norm 3.106841e-05\n", + "116 (restart 0) KSP residual norm 2.522277e-05\n", + "117 (restart 0) KSP residual norm 1.997349e-05\n", + "118 (restart 0) KSP residual norm 1.660192e-05\n", + "119 (restart 0) KSP residual norm 1.317868e-05\n", + "120 (restart 0) KSP residual norm 1.066898e-05\n", + "121 (restart 0) KSP residual norm 9.126954e-06\n", + "122 (restart 0) KSP residual norm 7.506988e-06\n", + "123 (restart 0) KSP residual norm 6.232877e-06\n", + "124 (restart 0) KSP residual norm 5.148849e-06\n", + "125 (restart 0) KSP residual norm 4.083350e-06\n", + "126 (restart 0) KSP residual norm 3.238499e-06\n", + "127 (restart 0) KSP residual norm 2.569587e-06\n", + "128 (restart 0) KSP residual norm 2.043543e-06\n", + "129 (restart 0) KSP residual norm 1.627173e-06\n", + "130 (restart 0) KSP residual norm 1.308381e-06\n", + "131 (restart 0) KSP residual norm 1.025159e-06\n", + "132 (restart 0) KSP residual norm 8.148544e-07\n", + "133 (restart 0) KSP residual norm 6.449480e-07\n", + "134 (restart 0) KSP residual norm 5.224315e-07\n", + "135 (restart 0) KSP residual norm 4.117537e-07\n", + "136 (restart 0) KSP residual norm 3.317646e-07\n", + "GMRES solver converged in 136 iterations (avg. reduction factor: 8.730e-01)\n", + " Field energy E (1.647e-10 J) + H (1.843e-10 J) = 3.490e-10 J\n", "\n", " Residual norms for GMRES solve\n", - " 0 (restart 0) KSP residual norm 2.822624e+01\n", - " 1 (restart 0) KSP residual norm 2.523925e+01\n", - " 2 (restart 0) KSP residual norm 2.510787e+01\n", - " 3 (restart 0) KSP residual norm 2.437221e+01\n", - " 4 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4.945e-02\n", - " Field energy E (5.455e-10 J) + H (5.387e-10 J) = 1.084e-09 J\n", + " 0 (restart 0) KSP residual norm 7.111948e+01\n", + " 1 (restart 0) KSP residual norm 6.881238e+01\n", + " 2 (restart 0) KSP residual norm 6.801889e+01\n", + " 3 (restart 0) KSP residual norm 6.174504e+01\n", + " 4 (restart 0) KSP residual norm 4.544607e+01\n", + " 5 (restart 0) KSP residual norm 3.500040e+01\n", + " 6 (restart 0) KSP residual norm 1.213740e+01\n", + " 7 (restart 0) KSP residual norm 1.121414e+01\n", + " 8 (restart 0) KSP residual norm 9.838934e+00\n", + " 9 (restart 0) KSP residual norm 7.998085e+00\n", + " 10 (restart 0) KSP residual norm 7.836454e+00\n", + " 11 (restart 0) KSP residual norm 7.057300e+00\n", + " 12 (restart 0) KSP residual norm 6.859641e+00\n", + " 13 (restart 0) KSP residual norm 6.192877e+00\n", + " 14 (restart 0) KSP residual norm 6.068130e+00\n", + " 15 (restart 0) KSP residual norm 5.328666e+00\n", + " 16 (restart 0) KSP residual norm 4.952106e+00\n", + " 17 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(1.093e+01), error = 1.451e+00, memory = 0/2\n", + " Field energy E (3.309e-10 J) + H (3.174e-10 J) = 6.483e-10 J\n", "\n", " Residual norms for GMRES solve\n", - " 0 (restart 0) KSP residual norm 5.094415e+01\n", - " 1 (restart 0) KSP residual norm 2.467427e+01\n", - " 2 (restart 0) KSP residual norm 2.463499e+01\n", - " 3 (restart 0) KSP residual norm 2.288891e+01\n", - " 4 (restart 0) KSP residual norm 2.128598e+01\n", - " 5 (restart 0) KSP residual norm 1.222154e+01\n", - " 6 (restart 0) KSP residual norm 9.566518e+00\n", - " 7 (restart 0) KSP residual norm 6.729964e+00\n", - " 8 (restart 0) KSP residual norm 6.105433e+00\n", - " 9 (restart 0) KSP residual norm 5.677762e+00\n", - " 10 (restart 0) KSP residual norm 4.332013e+00\n", - " 11 (restart 0) KSP residual norm 4.098905e+00\n", - " 12 (restart 0) KSP residual norm 3.902561e+00\n", - " 13 (restart 0) KSP residual norm 3.659467e+00\n", - " 14 (restart 0) KSP residual norm 3.328283e+00\n", - " 15 (restart 0) KSP residual norm 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norm 3.030163e-06\n", - " 64 (restart 0) KSP residual norm 2.168122e-06\n", - " 65 (restart 0) KSP residual norm 1.375270e-06\n", - " 66 (restart 0) KSP residual norm 7.784004e-07\n", - "GMRES solver converged in 66 iterations (avg. reduction factor: 7.521e-01)\n", - "\n", - "Greedy iteration 4 (n = 10): ω* = 3.242e+00 GHz (8.154e+00), error = 7.423e-07, memory = 2/2\n", - " Field energy E (4.068e-11 J) + H (2.981e-11 J) = 7.049e-11 J\n", - "\n", - "Adaptive sampling converged with 6 frequency samples:\n", - " n = 12, error = 7.423e-07, tol = 1.000e-03, memory = 2/2\n", - " Sampled frequencies (GHz): 3.200e+00, 3.500e+00, 3.370e+00, 3.314e+00,\n", - " 3.434e+00, 3.242e+00\n", - " Sample errors: inf, inf, 4.945e-02, 1.534e-02, 5.653e-06,\n", - " 7.423e-07\n", - " Total offline phase elapsed time: 8.29e+02 s\n", + " 0 (restart 0) KSP residual norm 7.943123e+01\n", + " 1 (restart 0) KSP residual norm 4.806274e+01\n", + " 2 (restart 0) KSP residual norm 2.731938e+01\n", + " 3 (restart 0) 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+ "Greedy iteration 4 (n = 10): ω* = 2.679e+00 GHz (8.473e+00), error = 3.182e-02, memory = 0/2\n", + " Field energy E (1.121e-10 J) + H (9.171e-11 J) = 2.038e-10 J\n", + "\n", + " Residual norms for GMRES solve\n", + " 0 (restart 0) KSP residual norm 4.465007e+01\n", + " 1 (restart 0) KSP residual norm 4.421519e+01\n", + " 2 (restart 0) KSP residual norm 4.226225e+01\n", + " 3 (restart 0) KSP residual norm 4.176175e+01\n", + " 4 (restart 0) KSP residual norm 4.141606e+01\n", + " 5 (restart 0) KSP residual norm 3.845982e+01\n", + " 6 (restart 0) KSP residual norm 3.680893e+01\n", + " 7 (restart 0) KSP residual norm 3.590603e+01\n", + " 8 (restart 0) KSP residual norm 2.387748e+01\n", + " 9 (restart 0) KSP residual norm 2.282746e+01\n", + " 10 (restart 0) KSP residual norm 1.770846e+01\n", + " 11 (restart 0) KSP residual norm 1.109284e+01\n", + " 12 (restart 0) KSP residual norm 1.049618e+01\n", + " 13 (restart 0) KSP residual norm 8.595141e+00\n", + " 14 (restart 0) KSP residual norm 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norm 2.246201e-06\n", + "126 (restart 0) KSP residual norm 1.831752e-06\n", + "127 (restart 0) KSP residual norm 1.456064e-06\n", + "128 (restart 0) KSP residual norm 1.205074e-06\n", + "129 (restart 0) KSP residual norm 9.630573e-07\n", + "130 (restart 0) KSP residual norm 7.643353e-07\n", + "131 (restart 0) KSP residual norm 6.026112e-07\n", + "132 (restart 0) KSP residual norm 4.848550e-07\n", + "133 (restart 0) KSP residual norm 3.860923e-07\n", + "GMRES solver converged in 133 iterations (avg. reduction factor: 8.697e-01)\n", + "\n", + "Greedy iteration 5 (n = 12): ω* = 4.762e+00 GHz (1.506e+01), error = 3.609e-03, memory = 0/2\n", + " Field energy E (1.860e-10 J) + H (1.905e-10 J) = 3.765e-10 J\n", + "\n", + " Residual norms for GMRES solve\n", + " 0 (restart 0) KSP residual norm 3.920061e+02\n", + " 1 (restart 0) KSP residual norm 2.786200e+02\n", + " 2 (restart 0) KSP residual norm 2.295006e+02\n", + " 3 (restart 0) KSP residual norm 2.224711e+02\n", + " 4 (restart 0) KSP 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(restart 0) KSP residual norm 1.757774e-05\n", + "116 (restart 0) KSP residual norm 1.442771e-05\n", + "117 (restart 0) KSP residual norm 1.145318e-05\n", + "118 (restart 0) KSP residual norm 9.204107e-06\n", + "119 (restart 0) KSP residual norm 7.489650e-06\n", + "120 (restart 0) KSP residual norm 6.039093e-06\n", + "121 (restart 0) KSP residual norm 4.823268e-06\n", + "122 (restart 0) KSP residual norm 3.753736e-06\n", + "GMRES solver converged in 122 iterations (avg. reduction factor: 8.596e-01)\n", + "\n", + "Greedy iteration 6 (n = 14): ω* = 3.956e+00 GHz (1.251e+01), error = 3.635e-03, memory = 0/2\n", + " Field energy E (1.766e-10 J) + H (1.375e-10 J) = 3.141e-10 J\n", + "\n", + " Residual norms for GMRES solve\n", + " 0 (restart 0) KSP residual norm 5.278533e+01\n", + " 1 (restart 0) KSP residual norm 5.200028e+01\n", + " 2 (restart 0) KSP residual norm 5.176398e+01\n", + " 3 (restart 0) KSP residual norm 5.154086e+01\n", + " 4 (restart 0) KSP residual norm 4.626081e+01\n", + " 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norm 5.404959e-07\n", + "135 (restart 0) KSP residual norm 4.254340e-07\n", + "GMRES solver converged in 135 iterations (avg. reduction factor: 8.711e-01)\n", + "\n", + "Greedy iteration 7 (n = 16): ω* = 4.593e+00 GHz (1.453e+01), error = 6.725e-04, memory = 1/2\n", + " Field energy E (1.944e-10 J) + H (1.855e-10 J) = 3.799e-10 J\n", + "\n", + " Residual norms for GMRES solve\n", + " 0 (restart 0) KSP residual norm 2.966756e+01\n", + " 1 (restart 0) KSP residual norm 2.885368e+01\n", + " 2 (restart 0) KSP residual norm 8.921294e+00\n", + " 3 (restart 0) KSP residual norm 5.595138e+00\n", + " 4 (restart 0) KSP residual norm 3.417925e+00\n", + " 5 (restart 0) KSP residual norm 3.068213e+00\n", + " 6 (restart 0) KSP residual norm 2.803930e+00\n", + " 7 (restart 0) KSP residual norm 2.615663e+00\n", + " 8 (restart 0) KSP residual norm 2.499383e+00\n", + " 9 (restart 0) KSP residual norm 2.357584e+00\n", + " 10 (restart 0) KSP residual norm 2.115157e+00\n", + " 11 (restart 0) KSP residual 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(restart 0) KSP residual norm 5.485669e-06\n", + " 68 (restart 0) KSP residual norm 3.257243e-06\n", + " 69 (restart 0) KSP residual norm 2.248566e-06\n", + " 70 (restart 0) KSP residual norm 1.521155e-06\n", + " 71 (restart 0) KSP residual norm 1.145689e-06\n", + " 72 (restart 0) KSP residual norm 8.566347e-07\n", + " 73 (restart 0) KSP residual norm 6.352389e-07\n", + " 74 (restart 0) KSP residual norm 4.535095e-07\n", + " 75 (restart 0) KSP residual norm 2.829719e-07\n", + "GMRES solver converged in 75 iterations (avg. reduction factor: 7.817e-01)\n", + "\n", + "Greedy iteration 8 (n = 18): ω* = 2.266e+00 GHz (7.166e+00), error = 1.034e-03, memory = 0/2\n", + " Field energy E (7.883e-11 J) + H (8.626e-11 J) = 1.651e-10 J\n", + "\n", + " Residual norms for GMRES solve\n", + " 0 (restart 0) KSP residual norm 8.477210e+01\n", + " 1 (restart 0) KSP residual norm 8.449000e+01\n", + " 2 (restart 0) KSP residual norm 8.207804e+01\n", + " 3 (restart 0) KSP residual norm 7.600242e+01\n", + " 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(restart 0) KSP residual norm 3.766975e-05\n", + "116 (restart 0) KSP residual norm 2.981693e-05\n", + "117 (restart 0) KSP residual norm 2.438952e-05\n", + "118 (restart 0) KSP residual norm 1.949631e-05\n", + "119 (restart 0) KSP residual norm 1.597885e-05\n", + "120 (restart 0) KSP residual norm 1.258499e-05\n", + "121 (restart 0) KSP residual norm 1.022237e-05\n", + "122 (restart 0) KSP residual norm 8.419826e-06\n", + "123 (restart 0) KSP residual norm 7.105720e-06\n", + "124 (restart 0) KSP residual norm 5.921784e-06\n", + "125 (restart 0) KSP residual norm 4.916873e-06\n", + "126 (restart 0) KSP residual norm 3.899751e-06\n", + "127 (restart 0) KSP residual norm 3.151999e-06\n", + "128 (restart 0) KSP residual norm 2.526640e-06\n", + "129 (restart 0) KSP residual norm 2.002917e-06\n", + "130 (restart 0) KSP residual norm 1.547355e-06\n", + "131 (restart 0) KSP residual norm 1.252678e-06\n", + "132 (restart 0) KSP residual norm 1.007450e-06\n", + "133 (restart 0) KSP residual norm 7.946829e-07\n", + "GMRES solver converged in 133 iterations (avg. reduction factor: 8.702e-01)\n", + "\n", + "Greedy iteration 9 (n = 20): ω* = 4.350e+00 GHz (1.376e+01), error = 1.124e-03, memory = 0/2\n", + " Field energy E (1.937e-10 J) + H (1.673e-10 J) = 3.610e-10 J\n", + "\n", + " Residual norms for GMRES solve\n", + " 0 (restart 0) KSP residual norm 1.601814e+02\n", + " 1 (restart 0) KSP residual norm 1.400177e+02\n", + " 2 (restart 0) KSP residual norm 7.594288e+01\n", + " 3 (restart 0) KSP residual norm 7.445819e+01\n", + " 4 (restart 0) KSP residual norm 3.835389e+01\n", + " 5 (restart 0) KSP residual norm 3.183401e+01\n", + " 6 (restart 0) KSP residual norm 3.170220e+01\n", + " 7 (restart 0) KSP residual norm 2.510261e+01\n", + " 8 (restart 0) KSP residual norm 2.381852e+01\n", + " 9 (restart 0) KSP residual norm 1.729237e+01\n", + " 10 (restart 0) KSP residual norm 1.243041e+01\n", + " 11 (restart 0) KSP residual norm 1.214477e+01\n", + " 12 (restart 0) KSP residual 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norm 2.875493e-06\n", + "102 (restart 0) KSP residual norm 2.242445e-06\n", + "103 (restart 0) KSP residual norm 1.667326e-06\n", + "104 (restart 0) KSP residual norm 1.330741e-06\n", + "105 (restart 0) KSP residual norm 1.015430e-06\n", + "106 (restart 0) KSP residual norm 7.369956e-07\n", + "107 (restart 0) KSP residual norm 5.481898e-07\n", + "GMRES solver converged in 107 iterations (avg. reduction factor: 8.396e-01)\n", + "\n", + "Greedy iteration 11 (n = 24): ω* = 2.924e+00 GHz (9.247e+00), error = 1.730e-03, memory = 0/2\n", + " Field energy E (1.766e-10 J) + H (1.413e-10 J) = 3.179e-10 J\n", + "\n", + " Residual norms for GMRES solve\n", + " 0 (restart 0) KSP residual norm 2.594369e+01\n", + " 1 (restart 0) KSP residual norm 1.103021e+01\n", + " 2 (restart 0) KSP residual norm 8.976018e+00\n", + " 3 (restart 0) KSP residual norm 4.725106e+00\n", + " 4 (restart 0) KSP residual norm 4.286051e+00\n", + " 5 (restart 0) KSP residual norm 4.262040e+00\n", + " 6 (restart 0) KSP 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residual norm 1.683626e-03\n", + " 44 (restart 0) KSP residual norm 1.246842e-03\n", + " 45 (restart 0) KSP residual norm 9.507972e-04\n", + " 46 (restart 0) KSP residual norm 6.590367e-04\n", + " 47 (restart 0) KSP residual norm 5.260284e-04\n", + " 48 (restart 0) KSP residual norm 4.086180e-04\n", + " 49 (restart 0) KSP residual norm 3.033004e-04\n", + " 50 (restart 0) KSP residual norm 2.361330e-04\n", + " 51 (restart 0) KSP residual norm 1.476474e-04\n", + " 52 (restart 0) KSP residual norm 9.059027e-05\n", + " 53 (restart 0) KSP residual norm 6.649000e-05\n", + " 54 (restart 0) KSP residual norm 4.052589e-05\n", + " 55 (restart 0) KSP residual norm 3.131788e-05\n", + " 56 (restart 0) KSP residual norm 2.419903e-05\n", + " 57 (restart 0) KSP residual norm 1.511494e-05\n", + " 58 (restart 0) KSP residual norm 1.062805e-05\n", + " 59 (restart 0) KSP residual norm 7.169549e-06\n", + " 60 (restart 0) KSP residual norm 4.882696e-06\n", + " 61 (restart 0) KSP residual norm 3.740843e-06\n", + " 62 (restart 0) KSP residual norm 2.646139e-06\n", + " 63 (restart 0) KSP residual norm 1.860583e-06\n", + " 64 (restart 0) KSP residual norm 1.326169e-06\n", + " 65 (restart 0) KSP residual norm 9.461413e-07\n", + " 66 (restart 0) KSP residual norm 6.536195e-07\n", + " 67 (restart 0) KSP residual norm 4.778509e-07\n", + " 68 (restart 0) KSP residual norm 3.059169e-07\n", + " 69 (restart 0) KSP residual norm 2.048907e-07\n", + "GMRES solver converged in 69 iterations (avg. reduction factor: 7.631e-01)\n", + "\n", + "Greedy iteration 12 (n = 26): ω* = 2.097e+00 GHz (6.633e+00), error = 2.223e-05, memory = 1/2\n", + " Field energy E (7.154e-11 J) + H (9.240e-11 J) = 1.639e-10 J\n", + "\n", + " Residual norms for GMRES solve\n", + " 0 (restart 0) KSP residual norm 3.773402e+01\n", + " 1 (restart 0) KSP residual norm 3.717414e+01\n", + " 2 (restart 0) KSP residual norm 3.664102e+01\n", + " 3 (restart 0) KSP residual norm 3.590033e+01\n", + " 4 (restart 0) KSP residual 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norm 1.874622e-05\n", + "116 (restart 0) KSP residual norm 1.549634e-05\n", + "117 (restart 0) KSP residual norm 1.281724e-05\n", + "118 (restart 0) KSP residual norm 1.050640e-05\n", + "119 (restart 0) KSP residual norm 8.309160e-06\n", + "120 (restart 0) KSP residual norm 6.756216e-06\n", + "121 (restart 0) KSP residual norm 5.599816e-06\n", + "122 (restart 0) KSP residual norm 4.650570e-06\n", + "123 (restart 0) KSP residual norm 3.818192e-06\n", + "124 (restart 0) KSP residual norm 3.177331e-06\n", + "125 (restart 0) KSP residual norm 2.567674e-06\n", + "126 (restart 0) KSP residual norm 2.110584e-06\n", + "127 (restart 0) KSP residual norm 1.702829e-06\n", + "128 (restart 0) KSP residual norm 1.407204e-06\n", + "129 (restart 0) KSP residual norm 1.154288e-06\n", + "130 (restart 0) KSP residual norm 9.742088e-07\n", + "131 (restart 0) KSP residual norm 7.708547e-07\n", + "132 (restart 0) KSP residual norm 6.328642e-07\n", + "133 (restart 0) KSP residual norm 5.086276e-07\n", + "134 (restart 0) KSP residual norm 4.061890e-07\n", + "135 (restart 0) KSP residual norm 3.216934e-07\n", + "GMRES solver converged in 135 iterations (avg. reduction factor: 8.714e-01)\n", + "\n", + "Greedy iteration 13 (n = 28): ω* = 4.924e+00 GHz (1.558e+01), error = 8.172e-06, memory = 2/2\n", + " Field energy E (1.723e-10 J) + H (1.878e-10 J) = 3.601e-10 J\n", + "\n", + "Adaptive sampling converged with 15 frequency samples:\n", + " n = 30, error = 8.172e-06, tol = 1.000e-03, memory = 2/2\n", + " Sampled frequencies (GHz): 2.000e+00, 5.000e+00, 4.425e+00, 3.456e+00,\n", + " 3.262e+00, 2.679e+00, 4.762e+00, 3.956e+00,\n", + " 4.593e+00, 2.266e+00, 4.350e+00, 3.023e+00,\n", + " 2.924e+00, 2.097e+00, 4.924e+00\n", + " Sample errors: inf, inf, 1.881e-01, 1.451e+00, 9.094e-02,\n", + " 3.182e-02, 3.609e-03, 3.635e-03, 6.725e-04, 1.034e-03,\n", + " 1.124e-03, 2.763e-03, 1.730e-03, 2.223e-05, 8.172e-06\n", + " Total offline phase elapsed time: 3.26e+02 s\n", "\n", "Beginning fast frequency sweep online phase\n", "\n", - "It 1/61: ω/2π = 3.200e+00 GHz (total elapsed time = 8.29e+02 s)\n", + "It 1/121: ω/2π = 2.000e+00 GHz (total elapsed time = 3.26e+02 s)\n", "\n", - " Sol. ||E|| = 1.911846e+01\n", - " Field energy E (2.889e-11 J) + H (1.851e-11 J) = 4.740e-11 J\n", - " S[1][1] = +9.701e-01-2.086e-01i, |S[1][1]| = -6.719e-02, arg(S[1][1]) = -1.214e+01\n", + " Sol. ||E|| = 2.873117e+01\n", + " Field energy E (6.806e-11 J) + H (9.746e-11 J) = 1.655e-10 J\n", + " S[1][1] = +9.266e-01+3.694e-01i, |S[1][1]| = -2.159e-02, arg(S[1][1]) = +2.174e+01\n", "\n", " Wrote fields to disk (Paraview) at step 1\n", "\n", - "It 2/61: ω/2π = 3.205e+00 GHz (total elapsed time = 8.37e+02 s)\n", + "It 2/121: ω/2π = 2.025e+00 GHz (total elapsed time = 3.28e+02 s)\n", "\n", - " Sol. ||E|| = 1.932286e+01\n", - " Field energy E (2.985e-11 J) + H (1.942e-11 J) = 4.927e-11 J\n", - " S[1][1] = +9.695e-01-2.099e-01i, |S[1][1]| = -7.020e-02, arg(S[1][1]) = -1.222e+01\n", + " Sol. ||E|| = 2.893244e+01\n", + " Field energy E (6.892e-11 J) + H (9.606e-11 J) = 1.650e-10 J\n", + " S[1][1] = +9.357e-01+3.453e-01i, |S[1][1]| = -2.244e-02, arg(S[1][1]) = +2.025e+01\n", "\n", - "It 3/61: ω/2π = 3.210e+00 GHz (total elapsed time = 8.41e+02 s)\n", + "It 3/121: ω/2π = 2.050e+00 GHz (total elapsed time = 3.29e+02 s)\n", "\n", - " Sol. ||E|| = 1.954296e+01\n", - " Field energy E (3.090e-11 J) + H (2.042e-11 J) = 5.132e-11 J\n", - " S[1][1] = +9.688e-01-2.113e-01i, |S[1][1]| = -7.349e-02, arg(S[1][1]) = -1.230e+01\n", + " Sol. ||E|| = 2.913544e+01\n", + " Field energy E (6.980e-11 J) + H (9.472e-11 J) = 1.645e-10 J\n", + " S[1][1] = +9.442e-01+3.210e-01i, |S[1][1]| = -2.333e-02, arg(S[1][1]) = +1.878e+01\n", "\n", - "It 4/61: ω/2π = 3.215e+00 GHz (total elapsed time = 8.46e+02 s)\n", + "It 4/121: ω/2π = 2.075e+00 GHz (total elapsed time = 3.31e+02 s)\n", "\n", - " Sol. ||E|| = 1.978039e+01\n", - " Field energy E (3.205e-11 J) + H (2.152e-11 J) = 5.357e-11 J\n", - " S[1][1] = +9.681e-01-2.127e-01i, |S[1][1]| = -7.706e-02, arg(S[1][1]) = -1.239e+01\n", + " Sol. ||E|| = 2.934036e+01\n", + " Field energy E (7.071e-11 J) + H (9.346e-11 J) = 1.642e-10 J\n", + " S[1][1] = +9.521e-01+2.966e-01i, |S[1][1]| = -2.426e-02, arg(S[1][1]) = +1.730e+01\n", "\n", - "It 5/61: ω/2π = 3.220e+00 GHz (total elapsed time = 8.51e+02 s)\n", + "It 5/121: ω/2π = 2.100e+00 GHz (total elapsed time = 3.32e+02 s)\n", "\n", - " Sol. ||E|| = 2.003698e+01\n", - " Field energy E (3.331e-11 J) + H (2.273e-11 J) = 5.604e-11 J\n", - " S[1][1] = +9.673e-01-2.142e-01i, |S[1][1]| = -8.098e-02, arg(S[1][1]) = -1.248e+01\n", + " Sol. ||E|| = 2.954742e+01\n", + " Field energy E (7.165e-11 J) + H (9.227e-11 J) = 1.639e-10 J\n", + " S[1][1] = +9.593e-01+2.720e-01i, |S[1][1]| = -2.524e-02, arg(S[1][1]) = +1.583e+01\n", "\n", - "It 6/61: ω/2π = 3.225e+00 GHz (total elapsed time = 8.59e+02 s)\n", + "It 6/121: ω/2π = 2.125e+00 GHz (total elapsed time = 3.33e+02 s)\n", "\n", - " Sol. ||E|| = 2.031485e+01\n", - " Field energy E (3.470e-11 J) + H (2.406e-11 J) = 5.876e-11 J\n", - " S[1][1] = +9.665e-01-2.157e-01i, |S[1][1]| = -8.528e-02, arg(S[1][1]) = -1.258e+01\n", + " Sol. ||E|| = 2.975685e+01\n", + " Field energy E (7.263e-11 J) + H (9.115e-11 J) = 1.638e-10 J\n", + " S[1][1] = +9.658e-01+2.473e-01i, |S[1][1]| = -2.626e-02, arg(S[1][1]) = +1.436e+01\n", "\n", " Wrote fields to disk (Paraview) at step 6\n", "\n", - "It 7/61: ω/2π = 3.230e+00 GHz (total elapsed time = 8.68e+02 s)\n", + "It 7/121: ω/2π = 2.150e+00 GHz (total elapsed time = 3.36e+02 s)\n", "\n", - " Sol. ||E|| = 2.061637e+01\n", - " Field energy E (3.623e-11 J) + H (2.553e-11 J) = 6.176e-11 J\n", - " S[1][1] = +9.656e-01-2.172e-01i, |S[1][1]| = -9.001e-02, arg(S[1][1]) = -1.268e+01\n", + " Sol. ||E|| = 2.996889e+01\n", + " Field energy E (7.364e-11 J) + H (9.010e-11 J) = 1.637e-10 J\n", + " S[1][1] = +9.717e-01+2.224e-01i, |S[1][1]| = -2.735e-02, arg(S[1][1]) = +1.289e+01\n", "\n", - "It 8/61: ω/2π = 3.235e+00 GHz (total elapsed time = 8.74e+02 s)\n", + "It 8/121: ω/2π = 2.175e+00 GHz (total elapsed time = 3.37e+02 s)\n", "\n", - " Sol. ||E|| = 2.094425e+01\n", - " Field energy E (3.793e-11 J) + H (2.716e-11 J) = 6.509e-11 J\n", - " S[1][1] = +9.646e-01-2.189e-01i, |S[1][1]| = -9.523e-02, arg(S[1][1]) = -1.278e+01\n", + " Sol. ||E|| = 3.018381e+01\n", + " Field energy E (7.468e-11 J) + H (8.913e-11 J) = 1.638e-10 J\n", + " S[1][1] = +9.770e-01+1.974e-01i, |S[1][1]| = -2.849e-02, arg(S[1][1]) = +1.142e+01\n", "\n", - "It 9/61: ω/2π = 3.240e+00 GHz (total elapsed time = 8.82e+02 s)\n", + "It 9/121: ω/2π = 2.200e+00 GHz (total elapsed time = 3.39e+02 s)\n", "\n", - " Sol. ||E|| = 2.130162e+01\n", - " Field energy E (3.981e-11 J) + H (2.898e-11 J) = 6.879e-11 J\n", - " S[1][1] = +9.635e-01-2.206e-01i, |S[1][1]| = -1.010e-01, arg(S[1][1]) = -1.289e+01\n", + " Sol. ||E|| = 3.040191e+01\n", + " Field energy E (7.577e-11 J) + H (8.824e-11 J) = 1.640e-10 J\n", + " S[1][1] = +9.816e-01+1.723e-01i, |S[1][1]| = -2.971e-02, arg(S[1][1]) = +9.955e+00\n", "\n", - "It 10/61: ω/2π = 3.245e+00 GHz (total elapsed time = 8.90e+02 s)\n", + "It 10/121: ω/2π = 2.225e+00 GHz (total elapsed time = 3.40e+02 s)\n", "\n", - " Sol. ||E|| = 2.169205e+01\n", - " Field energy E (4.192e-11 J) + H (3.101e-11 J) = 7.293e-11 J\n", - " S[1][1] = +9.624e-01-2.223e-01i, |S[1][1]| = -1.074e-01, arg(S[1][1]) = -1.301e+01\n", + " Sol. ||E|| = 3.062350e+01\n", + " Field energy E (7.690e-11 J) + H (8.742e-11 J) = 1.643e-10 J\n", + " S[1][1] = +9.855e-01+1.470e-01i, |S[1][1]| = -3.100e-02, arg(S[1][1]) = +8.484e+00\n", "\n", - "It 11/61: ω/2π = 3.250e+00 GHz (total elapsed time = 8.98e+02 s)\n", + "It 11/121: ω/2π = 2.250e+00 GHz (total elapsed time = 3.42e+02 s)\n", "\n", - " Sol. ||E|| = 2.211965e+01\n", - " Field energy E (4.427e-11 J) + H (3.329e-11 J) = 7.755e-11 J\n", - " S[1][1] = +9.611e-01-2.242e-01i, |S[1][1]| = -1.146e-01, arg(S[1][1]) = -1.313e+01\n", + " Sol. ||E|| = 3.084891e+01\n", + " Field energy E (7.808e-11 J) + H (8.668e-11 J) = 1.648e-10 J\n", + " S[1][1] = +9.888e-01+1.216e-01i, |S[1][1]| = -3.238e-02, arg(S[1][1]) = +7.009e+00\n", "\n", " Wrote fields to disk (Paraview) at step 11\n", "\n", - "It 12/61: ω/2π = 3.255e+00 GHz (total elapsed time = 9.10e+02 s)\n", + "It 12/121: ω/2π = 2.275e+00 GHz (total elapsed time = 3.44e+02 s)\n", "\n", - " Sol. ||E|| = 2.258918e+01\n", - " Field energy E (4.691e-11 J) + H (3.585e-11 J) = 8.276e-11 J\n", - " S[1][1] = +9.597e-01-2.262e-01i, |S[1][1]| = -1.227e-01, arg(S[1][1]) = -1.326e+01\n", + " Sol. ||E|| = 3.107854e+01\n", + " Field energy E (7.930e-11 J) + H (8.602e-11 J) = 1.653e-10 J\n", + " S[1][1] = +9.915e-01+9.599e-02i, |S[1][1]| = -3.386e-02, arg(S[1][1]) = +5.530e+00\n", "\n", - "It 13/61: ω/2π = 3.260e+00 GHz (total elapsed time = 9.18e+02 s)\n", + "It 13/121: ω/2π = 2.300e+00 GHz (total elapsed time = 3.46e+02 s)\n", "\n", - " Sol. ||E|| = 2.310617e+01\n", - " Field energy E (4.989e-11 J) + H (3.875e-11 J) = 8.863e-11 J\n", - " S[1][1] = +9.581e-01-2.282e-01i, |S[1][1]| = -1.318e-01, arg(S[1][1]) = -1.340e+01\n", + " Sol. ||E|| = 3.131279e+01\n", + " Field energy E (8.058e-11 J) + H (8.544e-11 J) = 1.660e-10 J\n", + " S[1][1] = +9.934e-01+7.026e-02i, |S[1][1]| = -3.545e-02, arg(S[1][1]) = +4.045e+00\n", "\n", - "It 14/61: ω/2π = 3.265e+00 GHz (total elapsed time = 9.26e+02 s)\n", + "It 14/121: ω/2π = 2.325e+00 GHz (total elapsed time = 3.48e+02 s)\n", "\n", - " Sol. ||E|| = 2.367704e+01\n", - " Field energy E (5.326e-11 J) + H (4.204e-11 J) = 9.530e-11 J\n", - " S[1][1] = +9.564e-01-2.303e-01i, |S[1][1]| = -1.421e-01, arg(S[1][1]) = -1.354e+01\n", + " Sol. ||E|| = 3.155211e+01\n", + " Field energy E (8.192e-11 J) + H (8.495e-11 J) = 1.669e-10 J\n", + " S[1][1] = +9.947e-01+4.437e-02i, |S[1][1]| = -3.715e-02, arg(S[1][1]) = +2.554e+00\n", "\n", - "It 15/61: ω/2π = 3.270e+00 GHz (total elapsed time = 9.36e+02 s)\n", + "It 15/121: ω/2π = 2.350e+00 GHz (total elapsed time = 3.49e+02 s)\n", "\n", - " Sol. ||E|| = 2.430929e+01\n", - " Field energy E (5.711e-11 J) + H (4.579e-11 J) = 1.029e-10 J\n", - " S[1][1] = +9.545e-01-2.326e-01i, |S[1][1]| = -1.537e-01, arg(S[1][1]) = -1.369e+01\n", + " Sol. ||E|| = 3.179701e+01\n", + " Field energy E (8.331e-11 J) + H (8.455e-11 J) = 1.679e-10 J\n", + " S[1][1] = +9.954e-01+1.833e-02i, |S[1][1]| = -3.900e-02, arg(S[1][1]) = +1.055e+00\n", "\n", - "It 16/61: ω/2π = 3.275e+00 GHz (total elapsed time = 9.46e+02 s)\n", + "It 16/121: ω/2π = 2.375e+00 GHz (total elapsed time = 3.51e+02 s)\n", "\n", - " Sol. ||E|| = 2.501172e+01\n", - " Field energy E (6.151e-11 J) + H (5.009e-11 J) = 1.116e-10 J\n", - " S[1][1] = +9.524e-01-2.350e-01i, |S[1][1]| = -1.671e-01, arg(S[1][1]) = -1.386e+01\n", + " Sol. ||E|| = 3.204804e+01\n", + " Field energy E (8.478e-11 J) + H (8.425e-11 J) = 1.690e-10 J\n", + " S[1][1] = +9.953e-01-7.879e-03i, |S[1][1]| = -4.099e-02, arg(S[1][1]) = -4.536e-01\n", "\n", " Wrote fields to disk (Paraview) at step 16\n", "\n", - "It 17/61: ω/2π = 3.280e+00 GHz (total elapsed time = 9.58e+02 s)\n", + "It 17/121: ω/2π = 2.400e+00 GHz (total elapsed time = 3.54e+02 s)\n", "\n", - " Sol. ||E|| = 2.579465e+01\n", - " Field energy E (6.657e-11 J) + H (5.505e-11 J) = 1.216e-10 J\n", - " S[1][1] = +9.500e-01-2.375e-01i, |S[1][1]| = -1.825e-01, arg(S[1][1]) = -1.403e+01\n", + " Sol. ||E|| = 3.230582e+01\n", + " Field energy E (8.632e-11 J) + H (8.405e-11 J) = 1.704e-10 J\n", + " S[1][1] = +9.945e-01-3.426e-02i, |S[1][1]| = -4.315e-02, arg(S[1][1]) = -1.973e+00\n", "\n", - "It 18/61: ω/2π = 3.285e+00 GHz (total elapsed time = 9.69e+02 s)\n", + "It 18/121: ω/2π = 2.425e+00 GHz (total elapsed time = 3.56e+02 s)\n", "\n", - " Sol. ||E|| = 2.667028e+01\n", - " Field energy E (7.243e-11 J) + H (6.080e-11 J) = 1.332e-10 J\n", - " S[1][1] = +9.472e-01-2.401e-01i, |S[1][1]| = -2.004e-01, arg(S[1][1]) = -1.422e+01\n", + " Sol. ||E|| = 3.257104e+01\n", + " Field energy E (8.795e-11 J) + H (8.395e-11 J) = 1.719e-10 J\n", + " S[1][1] = +9.929e-01-6.082e-02i, |S[1][1]| = -4.551e-02, arg(S[1][1]) = -3.505e+00\n", "\n", - "It 19/61: ω/2π = 3.290e+00 GHz (total elapsed time = 9.81e+02 s)\n", + "It 19/121: ω/2π = 2.450e+00 GHz (total elapsed time = 3.58e+02 s)\n", "\n", - " Sol. ||E|| = 2.765298e+01\n", - " Field energy E (7.925e-11 J) + H (6.751e-11 J) = 1.468e-10 J\n", - " S[1][1] = +9.441e-01-2.428e-01i, |S[1][1]| = -2.212e-01, arg(S[1][1]) = -1.442e+01\n", + " Sol. ||E|| = 3.284447e+01\n", + " Field energy E (8.966e-11 J) + H (8.397e-11 J) = 1.736e-10 J\n", + " S[1][1] = +9.906e-01-8.756e-02i, |S[1][1]| = -4.807e-02, arg(S[1][1]) = -5.051e+00\n", "\n", - "It 20/61: ω/2π = 3.295e+00 GHz (total elapsed time = 9.92e+02 s)\n", + "It 20/121: ω/2π = 2.475e+00 GHz (total elapsed time = 3.60e+02 s)\n", "\n", - " Sol. ||E|| = 2.875979e+01\n", - " Field energy E (8.725e-11 J) + H (7.538e-11 J) = 1.626e-10 J\n", - " S[1][1] = +9.406e-01-2.457e-01i, |S[1][1]| = -2.456e-01, arg(S[1][1]) = -1.464e+01\n", + " Sol. ||E|| = 3.312701e+01\n", + " Field energy E (9.148e-11 J) + H (8.412e-11 J) = 1.756e-10 J\n", + " S[1][1] = +9.875e-01-1.145e-01i, |S[1][1]| = -5.088e-02, arg(S[1][1]) = -6.614e+00\n", "\n", - "It 21/61: ω/2π = 3.300e+00 GHz (total elapsed time = 1.00e+03 s)\n", + "It 21/121: ω/2π = 2.500e+00 GHz (total elapsed time = 3.62e+02 s)\n", "\n", - " Sol. ||E|| = 3.001081e+01\n", - " Field energy E (9.669e-11 J) + H (8.470e-11 J) = 1.814e-10 J\n", - " S[1][1] = +9.364e-01-2.487e-01i, |S[1][1]| = -2.746e-01, arg(S[1][1]) = -1.487e+01\n", + " Sol. ||E|| = 3.341964e+01\n", + " Field energy E (9.341e-11 J) + H (8.439e-11 J) = 1.778e-10 J\n", + " S[1][1] = +9.837e-01-1.416e-01i, |S[1][1]| = -5.396e-02, arg(S[1][1]) = -8.194e+00\n", "\n", " Wrote fields to disk (Paraview) at step 21\n", "\n", - "It 22/61: ω/2π = 3.305e+00 GHz (total elapsed time = 1.02e+03 s)\n", + "It 22/121: ω/2π = 2.525e+00 GHz (total elapsed time = 3.65e+02 s)\n", "\n", - " Sol. ||E|| = 3.142974e+01\n", - " Field energy E (1.079e-10 J) + H (9.578e-11 J) = 2.037e-10 J\n", - " S[1][1] = +9.316e-01-2.518e-01i, |S[1][1]| = -3.091e-01, arg(S[1][1]) = -1.512e+01\n", + " Sol. ||E|| = 3.372351e+01\n", + " Field energy E (9.546e-11 J) + H (8.481e-11 J) = 1.803e-10 J\n", + " S[1][1] = +9.789e-01-1.690e-01i, |S[1][1]| = -5.736e-02, arg(S[1][1]) = -9.795e+00\n", "\n", - "It 23/61: ω/2π = 3.310e+00 GHz (total elapsed time = 1.03e+03 s)\n", + "It 23/121: ω/2π = 2.550e+00 GHz (total elapsed time = 3.67e+02 s)\n", "\n", - " Sol. ||E|| = 3.304432e+01\n", - " Field energy E (1.213e-10 J) + H (1.091e-10 J) = 2.304e-10 J\n", - " S[1][1] = +9.260e-01-2.549e-01i, |S[1][1]| = -3.506e-01, arg(S[1][1]) = -1.539e+01\n", + " Sol. ||E|| = 3.403991e+01\n", + " Field energy E (9.766e-11 J) + H (8.539e-11 J) = 1.831e-10 J\n", + " S[1][1] = +9.733e-01-1.966e-01i, |S[1][1]| = -6.110e-02, arg(S[1][1]) = -1.142e+01\n", "\n", - "It 24/61: ω/2π = 3.315e+00 GHz (total elapsed time = 1.05e+03 s)\n", + "It 24/121: ω/2π = 2.575e+00 GHz (total elapsed time = 3.69e+02 s)\n", "\n", - " Sol. ||E|| = 3.488647e+01\n", - " Field energy E (1.375e-10 J) + H (1.251e-10 J) = 2.626e-10 J\n", - " S[1][1] = +9.194e-01-2.579e-01i, |S[1][1]| = -4.011e-01, arg(S[1][1]) = -1.567e+01\n", + " Sol. ||E|| = 3.437034e+01\n", + " Field energy E (1.000e-10 J) + H (8.615e-11 J) = 1.862e-10 J\n", + " S[1][1] = +9.668e-01-2.244e-01i, |S[1][1]| = -6.526e-02, arg(S[1][1]) = -1.307e+01\n", "\n", - "It 25/61: ω/2π = 3.320e+00 GHz (total elapsed time = 1.06e+03 s)\n", + "It 25/121: ω/2π = 2.600e+00 GHz (total elapsed time = 3.71e+02 s)\n", "\n", - " Sol. ||E|| = 3.699200e+01\n", - " Field energy E (1.571e-10 J) + H (1.446e-10 J) = 3.017e-10 J\n", - " S[1][1] = +9.115e-01-2.608e-01i, |S[1][1]| = -4.629e-01, arg(S[1][1]) = -1.597e+01\n", + " Sol. ||E|| = 3.471656e+01\n", + " Field energy E (1.026e-10 J) + H (8.710e-11 J) = 1.897e-10 J\n", + " S[1][1] = +9.593e-01-2.525e-01i, |S[1][1]| = -6.989e-02, arg(S[1][1]) = -1.475e+01\n", "\n", - "It 26/61: ω/2π = 3.325e+00 GHz (total elapsed time = 1.07e+03 s)\n", + "It 26/121: ω/2π = 2.625e+00 GHz (total elapsed time = 3.74e+02 s)\n", "\n", - " Sol. ||E|| = 3.939899e+01\n", - " Field energy E (1.810e-10 J) + H (1.684e-10 J) = 3.493e-10 J\n", - " S[1][1] = +9.022e-01-2.632e-01i, |S[1][1]| = -5.390e-01, arg(S[1][1]) = -1.626e+01\n", + " Sol. ||E|| = 3.508059e+01\n", + " Field energy E (1.053e-10 J) + H (8.827e-11 J) = 1.936e-10 J\n", + " S[1][1] = +9.508e-01-2.809e-01i, |S[1][1]| = -7.506e-02, arg(S[1][1]) = -1.646e+01\n", "\n", " Wrote fields to disk (Paraview) at step 26\n", "\n", - "It 27/61: ω/2π = 3.330e+00 GHz (total elapsed time = 1.10e+03 s)\n", + "It 27/121: ω/2π = 2.650e+00 GHz (total elapsed time = 3.77e+02 s)\n", "\n", - " Sol. ||E|| = 4.214374e+01\n", - " Field energy E (2.101e-10 J) + H (1.974e-10 J) = 4.075e-10 J\n", - " S[1][1] = +8.912e-01-2.648e-01i, |S[1][1]| = -6.335e-01, arg(S[1][1]) = -1.655e+01\n", + " Sol. ||E|| = 3.546482e+01\n", + " Field energy E (1.083e-10 J) + H (8.970e-11 J) = 1.980e-10 J\n", + " S[1][1] = +9.411e-01-3.095e-01i, |S[1][1]| = -8.087e-02, arg(S[1][1]) = -1.821e+01\n", "\n", - "It 28/61: ω/2π = 3.335e+00 GHz (total elapsed time = 1.12e+03 s)\n", + "It 28/121: ω/2π = 2.675e+00 GHz (total elapsed time = 3.79e+02 s)\n", "\n", - " Sol. ||E|| = 4.525204e+01\n", - " Field energy E (2.455e-10 J) + H (2.329e-10 J) = 4.784e-10 J\n", - " S[1][1] = +8.781e-01-2.649e-01i, |S[1][1]| = -7.508e-01, arg(S[1][1]) = -1.679e+01\n", + " Sol. ||E|| = 3.587206e+01\n", + " Field energy E (1.115e-10 J) + H (9.141e-11 J) = 2.030e-10 J\n", + " S[1][1] = +9.303e-01-3.385e-01i, |S[1][1]| = -8.742e-02, arg(S[1][1]) = -2.000e+01\n", "\n", - "It 29/61: ω/2π = 3.340e+00 GHz (total elapsed time = 1.13e+03 s)\n", + "It 29/121: ω/2π = 2.700e+00 GHz (total elapsed time = 3.82e+02 s)\n", "\n", - " Sol. ||E|| = 4.872243e+01\n", - " Field energy E (2.882e-10 J) + H (2.757e-10 J) = 5.639e-10 J\n", - " S[1][1] = +8.629e-01-2.627e-01i, |S[1][1]| = -8.958e-01, arg(S[1][1]) = -1.693e+01\n", + " Sol. ||E|| = 3.630566e+01\n", + " Field energy E (1.151e-10 J) + H (9.344e-11 J) = 2.086e-10 J\n", + " S[1][1] = +9.182e-01-3.678e-01i, |S[1][1]| = -9.485e-02, arg(S[1][1]) = -2.183e+01\n", "\n", - "It 30/61: ω/2π = 3.345e+00 GHz (total elapsed time = 1.15e+03 s)\n", + "It 30/121: ω/2π = 2.725e+00 GHz (total elapsed time = 3.84e+02 s)\n", "\n", - " Sol. ||E|| = 5.249704e+01\n", - " Field energy E (3.384e-10 J) + H (3.262e-10 J) = 6.645e-10 J\n", - " S[1][1] = +8.457e-01-2.570e-01i, |S[1][1]| = -1.072e+00, arg(S[1][1]) = -1.690e+01\n", + " Sol. ||E|| = 3.676963e+01\n", + " Field energy E (1.191e-10 J) + H (9.586e-11 J) = 2.149e-10 J\n", + " S[1][1] = +9.047e-01-3.975e-01i, |S[1][1]| = -1.033e-01, arg(S[1][1]) = -2.372e+01\n", "\n", - "It 31/61: ω/2π = 3.350e+00 GHz (total elapsed time = 1.17e+03 s)\n", + "It 31/121: ω/2π = 2.750e+00 GHz (total elapsed time = 3.87e+02 s)\n", "\n", - " Sol. ||E|| = 5.641786e+01\n", - " Field energy E (3.947e-10 J) + H (3.830e-10 J) = 7.777e-10 J\n", - " S[1][1] = +8.274e-01-2.462e-01i, |S[1][1]| = -1.277e+00, arg(S[1][1]) = -1.657e+01\n", + " Sol. ||E|| = 3.726880e+01\n", + " Field energy E (1.235e-10 J) + H (9.873e-11 J) = 2.222e-10 J\n", + " S[1][1] = +8.897e-01-4.275e-01i, |S[1][1]| = -1.130e-01, arg(S[1][1]) = -2.567e+01\n", "\n", " Wrote fields to disk (Paraview) at step 31\n", "\n", - "It 32/61: ω/2π = 3.355e+00 GHz (total elapsed time = 1.18e+03 s)\n", + "It 32/121: ω/2π = 2.775e+00 GHz (total elapsed time = 3.90e+02 s)\n", "\n", - " Sol. ||E|| = 6.017777e+01\n", - " Field energy E (4.528e-10 J) + H (4.420e-10 J) = 8.948e-10 J\n", - " S[1][1] = +8.099e-01-2.288e-01i, |S[1][1]| = -1.498e+00, arg(S[1][1]) = -1.578e+01\n", + " Sol. ||E|| = 3.780902e+01\n", + " Field energy E (1.284e-10 J) + H (1.021e-10 J) = 2.305e-10 J\n", + " S[1][1] = +8.730e-01-4.580e-01i, |S[1][1]| = -1.243e-01, arg(S[1][1]) = -2.768e+01\n", "\n", - "It 33/61: ω/2π = 3.360e+00 GHz (total elapsed time = 1.20e+03 s)\n", + "It 33/121: ω/2π = 2.800e+00 GHz (total elapsed time = 3.92e+02 s)\n", "\n", - " Sol. ||E|| = 6.330231e+01\n", - " Field energy E (5.045e-10 J) + H (4.948e-10 J) = 9.992e-10 J\n", - " S[1][1] = +7.963e-01-2.044e-01i, |S[1][1]| = -1.701e+00, arg(S[1][1]) = -1.439e+01\n", + " Sol. ||E|| = 3.839749e+01\n", + " Field energy E (1.339e-10 J) + H (1.061e-10 J) = 2.401e-10 J\n", + " S[1][1] = +8.544e-01-4.888e-01i, |S[1][1]| = -1.373e-01, arg(S[1][1]) = -2.978e+01\n", "\n", - "It 34/61: ω/2π = 3.365e+00 GHz (total elapsed time = 1.22e+03 s)\n", + "It 34/121: ω/2π = 2.825e+00 GHz (total elapsed time = 3.95e+02 s)\n", "\n", - " Sol. ||E|| = 6.522758e+01\n", - " Field energy E (5.384e-10 J) + H (5.301e-10 J) = 1.068e-09 J\n", - " S[1][1] = +7.906e-01-1.744e-01i, |S[1][1]| = -1.835e+00, arg(S[1][1]) = -1.244e+01\n", + " Sol. ||E|| = 3.904306e+01\n", + " Field energy E (1.402e-10 J) + H (1.109e-10 J) = 2.512e-10 J\n", + " S[1][1] = +8.336e-01-5.201e-01i, |S[1][1]| = -1.526e-01, arg(S[1][1]) = -3.196e+01\n", "\n", - "It 35/61: ω/2π = 3.370e+00 GHz (total elapsed time = 1.23e+03 s)\n", + "It 35/121: ω/2π = 2.850e+00 GHz (total elapsed time = 3.98e+02 s)\n", "\n", - " Sol. ||E|| = 6.550854e+01\n", - " Field energy E (5.448e-10 J) + H (5.381e-10 J) = 1.083e-09 J\n", - " S[1][1] = +7.952e-01-1.429e-01i, |S[1][1]| = -1.853e+00, arg(S[1][1]) = -1.019e+01\n", + " Sol. ||E|| = 3.975677e+01\n", + " Field energy E (1.475e-10 J) + H (1.166e-10 J) = 2.641e-10 J\n", + " S[1][1] = +8.105e-01-5.519e-01i, |S[1][1]| = -1.707e-01, arg(S[1][1]) = -3.425e+01\n", "\n", - "It 36/61: ω/2π = 3.375e+00 GHz (total elapsed time = 1.26e+03 s)\n", + "It 36/121: ω/2π = 2.875e+00 GHz (total elapsed time = 4.00e+02 s)\n", "\n", - " Sol. ||E|| = 6.405442e+01\n", - " Field energy E (5.217e-10 J) + H (5.163e-10 J) = 1.038e-09 J\n", - " S[1][1] = +8.098e-01-1.152e-01i, |S[1][1]| = -1.745e+00, arg(S[1][1]) = -8.097e+00\n", + " Sol. ||E|| = 4.055252e+01\n", + " Field energy E (1.558e-10 J) + H (1.235e-10 J) = 2.794e-10 J\n", + " S[1][1] = +7.845e-01-5.841e-01i, |S[1][1]| = -1.923e-01, arg(S[1][1]) = -3.667e+01\n", "\n", " Wrote fields to disk (Paraview) at step 36\n", "\n", - "It 37/61: ω/2π = 3.380e+00 GHz (total elapsed time = 1.28e+03 s)\n", + "It 37/121: ω/2π = 2.900e+00 GHz (total elapsed time = 4.04e+02 s)\n", "\n", - " Sol. ||E|| = 6.118593e+01\n", - " Field energy E (4.759e-10 J) + H (4.715e-10 J) = 9.474e-10 J\n", - " S[1][1] = +8.312e-01-9.507e-02i, |S[1][1]| = -1.550e+00, arg(S[1][1]) = -6.525e+00\n", + " Sol. ||E|| = 4.144809e+01\n", + " Field energy E (1.657e-10 J) + H (1.318e-10 J) = 2.975e-10 J\n", + " S[1][1] = +7.554e-01-6.167e-01i, |S[1][1]| = -2.183e-01, arg(S[1][1]) = -3.923e+01\n", "\n", - "It 38/61: ω/2π = 3.385e+00 GHz (total elapsed time = 1.30e+03 s)\n", + "It 38/121: ω/2π = 2.925e+00 GHz (total elapsed time = 4.07e+02 s)\n", "\n", - " Sol. ||E|| = 5.745500e+01\n", - " Field energy E (4.188e-10 J) + H (4.149e-10 J) = 8.337e-10 J\n", - " S[1][1] = +8.548e-01-8.347e-02i, |S[1][1]| = -1.322e+00, arg(S[1][1]) = -5.577e+00\n", + " Sol. ||E|| = 4.246797e+01\n", + " Field energy E (1.773e-10 J) + H (1.420e-10 J) = 3.193e-10 J\n", + " S[1][1] = +7.224e-01-6.498e-01i, |S[1][1]| = -2.502e-01, arg(S[1][1]) = -4.197e+01\n", "\n", - "It 39/61: ω/2π = 3.390e+00 GHz (total elapsed time = 1.32e+03 s)\n", + "It 39/121: ω/2π = 2.950e+00 GHz (total elapsed time = 4.10e+02 s)\n", "\n", - " Sol. ||E|| = 5.339949e+01\n", - " Field energy E (3.604e-10 J) + H (3.567e-10 J) = 7.171e-10 J\n", - " S[1][1] = +8.772e-01-7.909e-02i, |S[1][1]| = -1.103e+00, arg(S[1][1]) = -5.152e+00\n", + " Sol. ||E|| = 4.363745e+01\n", + " Field energy E (1.913e-10 J) + H (1.544e-10 J) = 3.457e-10 J\n", + " S[1][1] = +6.848e-01-6.830e-01i, |S[1][1]| = -2.895e-01, arg(S[1][1]) = -4.492e+01\n", "\n", - "It 40/61: ω/2π = 3.395e+00 GHz (total elapsed time = 1.34e+03 s)\n", + "It 40/121: ω/2π = 2.975e+00 GHz (total elapsed time = 4.13e+02 s)\n", "\n", - " Sol. ||E|| = 4.940445e+01\n", - " Field energy E (3.068e-10 J) + H (3.030e-10 J) = 6.098e-10 J\n", - " S[1][1] = +8.968e-01-7.979e-02i, |S[1][1]| = -9.120e-01, arg(S[1][1]) = -5.085e+00\n", + " Sol. ||E|| = 4.499450e+01\n", + " Field energy E (2.082e-10 J) + H (1.699e-10 J) = 3.781e-10 J\n", + " S[1][1] = +6.418e-01-7.163e-01i, |S[1][1]| = -3.389e-01, arg(S[1][1]) = -4.814e+01\n", "\n", - "It 41/61: ω/2π = 3.400e+00 GHz (total elapsed time = 1.36e+03 s)\n", + "It 41/121: ω/2π = 3.000e+00 GHz (total elapsed time = 4.16e+02 s)\n", "\n", - " Sol. ||E|| = 4.568706e+01\n", - " Field energy E (2.604e-10 J) + H (2.565e-10 J) = 5.170e-10 J\n", - " S[1][1] = +9.130e-01-8.359e-02i, |S[1][1]| = -7.545e-01, arg(S[1][1]) = -5.231e+00\n", + " Sol. ||E|| = 4.659225e+01\n", + " Field energy E (2.292e-10 J) + H (1.895e-10 J) = 4.187e-10 J\n", + " S[1][1] = +5.919e-01-7.491e-01i, |S[1][1]| = -4.021e-01, arg(S[1][1]) = -5.169e+01\n", "\n", " Wrote fields to disk (Paraview) at step 41\n", "\n", - "It 42/61: ω/2π = 3.405e+00 GHz (total elapsed time = 1.39e+03 s)\n", + "It 42/121: ω/2π = 3.025e+00 GHz (total elapsed time = 4.19e+02 s)\n", "\n", - " Sol. ||E|| = 4.234005e+01\n", - " Field energy E (2.217e-10 J) + H (2.175e-10 J) = 4.393e-10 J\n", - " S[1][1] = +9.260e-01-8.903e-02i, |S[1][1]| = -6.276e-01, arg(S[1][1]) = -5.491e+00\n", + " Sol. ||E|| = 4.849687e+01\n", + " Field energy E (2.556e-10 J) + H (2.146e-10 J) = 4.702e-10 J\n", + " S[1][1] = +5.336e-01-7.808e-01i, |S[1][1]| = -4.844e-01, arg(S[1][1]) = -5.565e+01\n", "\n", - "It 43/61: ω/2π = 3.410e+00 GHz (total elapsed time = 1.41e+03 s)\n", + "It 43/121: ω/2π = 3.050e+00 GHz (total elapsed time = 4.22e+02 s)\n", "\n", - " Sol. ||E|| = 3.938147e+01\n", - " Field energy E (1.898e-10 J) + H (1.854e-10 J) = 3.752e-10 J\n", - " S[1][1] = +9.364e-01-9.517e-02i, |S[1][1]| = -5.264e-01, arg(S[1][1]) = -5.803e+00\n", + " Sol. ||E|| = 5.079728e+01\n", + " Field energy E (2.895e-10 J) + H (2.472e-10 J) = 5.367e-10 J\n", + " S[1][1] = +4.648e-01-8.100e-01i, |S[1][1]| = -5.942e-01, arg(S[1][1]) = -6.015e+01\n", "\n", - "It 44/61: ω/2π = 3.415e+00 GHz (total elapsed time = 1.44e+03 s)\n", + "It 44/121: ω/2π = 3.075e+00 GHz (total elapsed time = 4.25e+02 s)\n", "\n", - " Sol. ||E|| = 3.679115e+01\n", - " Field energy E (1.638e-10 J) + H (1.590e-10 J) = 3.228e-10 J\n", - " S[1][1] = +9.446e-01-1.015e-01i, |S[1][1]| = -4.455e-01, arg(S[1][1]) = -6.131e+00\n", + " Sol. ||E|| = 5.361184e+01\n", + " Field energy E (3.336e-10 J) + H (2.904e-10 J) = 6.240e-10 J\n", + " S[1][1] = +3.825e-01-8.344e-01i, |S[1][1]| = -7.444e-01, arg(S[1][1]) = -6.537e+01\n", "\n", - "It 45/61: ω/2π = 3.420e+00 GHz (total elapsed time = 1.46e+03 s)\n", + "It 45/121: ω/2π = 3.100e+00 GHz (total elapsed time = 4.28e+02 s)\n", "\n", - " Sol. ||E|| = 3.453272e+01\n", - " Field energy E (1.424e-10 J) + H (1.374e-10 J) = 2.798e-10 J\n", - " S[1][1] = +9.511e-01-1.076e-01i, |S[1][1]| = -3.806e-01, arg(S[1][1]) = -6.454e+00\n", + " Sol. ||E|| = 5.709506e+01\n", + " Field energy E (3.923e-10 J) + H (3.487e-10 J) = 7.410e-10 J\n", + " S[1][1] = +2.833e-01-8.497e-01i, |S[1][1]| = -9.563e-01, arg(S[1][1]) = -7.156e+01\n", "\n", - "It 46/61: ω/2π = 3.425e+00 GHz (total elapsed time = 1.48e+03 s)\n", + "It 46/121: ω/2π = 3.125e+00 GHz (total elapsed time = 4.32e+02 s)\n", "\n", - " Sol. ||E|| = 3.256548e+01\n", - " Field energy E (1.249e-10 J) + H (1.196e-10 J) = 2.445e-10 J\n", - " S[1][1] = +9.562e-01-1.134e-01i, |S[1][1]| = -3.283e-01, arg(S[1][1]) = -6.764e+00\n", + " Sol. ||E|| = 6.143817e+01\n", + " Field energy E (4.718e-10 J) + H (4.285e-10 J) = 9.003e-10 J\n", + " S[1][1] = +1.633e-01-8.488e-01i, |S[1][1]| = -1.266e+00, arg(S[1][1]) = -7.911e+01\n", "\n", " Wrote fields to disk (Paraview) at step 46\n", "\n", - "It 47/61: ω/2π = 3.430e+00 GHz (total elapsed time = 1.50e+03 s)\n", + "It 47/121: ω/2π = 3.150e+00 GHz (total elapsed time = 4.35e+02 s)\n", "\n", - " Sol. ||E|| = 3.085013e+01\n", - " Field energy E (1.104e-10 J) + H (1.049e-10 J) = 2.153e-10 J\n", - " S[1][1] = +9.603e-01-1.189e-01i, |S[1][1]| = -2.856e-01, arg(S[1][1]) = -7.055e+00\n", + " Sol. ||E|| = 6.684572e+01\n", + " Field energy E (5.802e-10 J) + H (5.389e-10 J) = 1.119e-09 J\n", + " S[1][1] = +1.967e-02-8.187e-01i, |S[1][1]| = -1.735e+00, arg(S[1][1]) = -8.862e+01\n", "\n", - "It 48/61: ω/2π = 3.435e+00 GHz (total elapsed time = 1.53e+03 s)\n", + "It 48/121: ω/2π = 3.175e+00 GHz (total elapsed time = 4.39e+02 s)\n", "\n", - " Sol. ||E|| = 2.935116e+01\n", - " Field energy E (9.837e-11 J) + H (9.263e-11 J) = 1.910e-10 J\n", - " S[1][1] = +9.636e-01-1.239e-01i, |S[1][1]| = -2.506e-01, arg(S[1][1]) = -7.327e+00\n", + " Sol. ||E|| = 7.344012e+01\n", + " Field energy E (7.268e-10 J) + H (6.898e-10 J) = 1.417e-09 J\n", + " S[1][1] = -1.448e-01-7.377e-01i, |S[1][1]| = -2.478e+00, arg(S[1][1]) = -1.011e+02\n", "\n", - "It 49/61: ω/2π = 3.440e+00 GHz (total elapsed time = 1.55e+03 s)\n", + "It 49/121: ω/2π = 3.200e+00 GHz (total elapsed time = 4.42e+02 s)\n", "\n", - " Sol. ||E|| = 2.803759e+01\n", - " Field energy E (8.829e-11 J) + H (8.234e-11 J) = 1.706e-10 J\n", - " S[1][1] = +9.663e-01-1.286e-01i, |S[1][1]| = -2.215e-01, arg(S[1][1]) = -7.579e+00\n", + " Sol. ||E|| = 8.099430e+01\n", + " Field energy E (9.143e-10 J) + H (8.857e-10 J) = 1.800e-09 J\n", + " S[1][1] = -3.101e-01-5.756e-01i, |S[1][1]| = -3.691e+00, arg(S[1][1]) = -1.183e+02\n", "\n", - "It 50/61: ω/2π = 3.445e+00 GHz (total elapsed time = 1.58e+03 s)\n", + "It 50/121: ω/2π = 3.225e+00 GHz (total elapsed time = 4.45e+02 s)\n", "\n", - " Sol. ||E|| = 2.688285e+01\n", - " Field energy E (7.979e-11 J) + H (7.365e-11 J) = 1.534e-10 J\n", - " S[1][1] = +9.685e-01-1.329e-01i, |S[1][1]| = -1.973e-01, arg(S[1][1]) = -7.813e+00\n", + " Sol. ||E|| = 8.840335e+01\n", + " Field energy E (1.120e-09 J) + H (1.105e-09 J) = 2.226e-09 J\n", + " S[1][1] = -4.203e-01-3.082e-01i, |S[1][1]| = -5.660e+00, arg(S[1][1]) = -1.438e+02\n", "\n", - "It 51/61: ω/2π = 3.450e+00 GHz (total elapsed time = 1.62e+03 s)\n", + "It 51/121: ω/2π = 3.250e+00 GHz (total elapsed time = 4.48e+02 s)\n", "\n", - " Sol. ||E|| = 2.586439e+01\n", - " Field energy E (7.257e-11 J) + H (6.626e-11 J) = 1.388e-10 J\n", - " S[1][1] = +9.702e-01-1.369e-01i, |S[1][1]| = -1.769e-01, arg(S[1][1]) = -8.030e+00\n", + " Sol. ||E|| = 9.327931e+01\n", + " Field energy E (1.273e-09 J) + H (1.274e-09 J) = 2.547e-09 J\n", + " S[1][1] = -3.847e-01+3.292e-02i, |S[1][1]| = -8.266e+00, arg(S[1][1]) = +1.751e+02\n", "\n", " Wrote fields to disk (Paraview) at step 51\n", "\n", - "It 52/61: ω/2π = 3.455e+00 GHz (total elapsed time = 1.65e+03 s)\n", + "It 52/121: ω/2π = 3.275e+00 GHz (total elapsed time = 4.52e+02 s)\n", "\n", - " Sol. ||E|| = 2.496315e+01\n", - " Field energy E (6.641e-11 J) + H (5.993e-11 J) = 1.263e-10 J\n", - " S[1][1] = +9.717e-01-1.406e-01i, |S[1][1]| = -1.595e-01, arg(S[1][1]) = -8.230e+00\n", + " Sol. ||E|| = 9.307661e+01\n", + " Field energy E (1.279e-09 J) + H (1.295e-09 J) = 2.574e-09 J\n", + " S[1][1] = -1.577e-01+3.227e-01i, |S[1][1]| = -8.893e+00, arg(S[1][1]) = +1.160e+02\n", "\n", - "It 53/61: ω/2π = 3.460e+00 GHz (total elapsed time = 1.67e+03 s)\n", + "It 53/121: ω/2π = 3.300e+00 GHz (total elapsed time = 4.56e+02 s)\n", "\n", - " Sol. ||E|| = 2.416302e+01\n", - " Field energy E (6.110e-11 J) + H (5.448e-11 J) = 1.156e-10 J\n", - " S[1][1] = +9.729e-01-1.440e-01i, |S[1][1]| = -1.447e-01, arg(S[1][1]) = -8.417e+00\n", + " Sol. ||E|| = 8.773833e+01\n", + " Field energy E (1.135e-09 J) + H (1.156e-09 J) = 2.290e-09 J\n", + " S[1][1] = +1.710e-01+4.391e-01i, |S[1][1]| = -6.536e+00, arg(S[1][1]) = +6.872e+01\n", "\n", - "It 54/61: ω/2π = 3.465e+00 GHz (total elapsed time = 1.70e+03 s)\n", + "It 54/121: ω/2π = 3.325e+00 GHz (total elapsed time = 4.59e+02 s)\n", "\n", - " Sol. ||E|| = 2.345039e+01\n", - " Field energy E (5.651e-11 J) + H (4.975e-11 J) = 1.063e-10 J\n", - " S[1][1] = +9.739e-01-1.471e-01i, |S[1][1]| = -1.320e-01, arg(S[1][1]) = -8.591e+00\n", + " Sol. ||E|| = 7.985466e+01\n", + " Field energy E (9.271e-10 J) + H (9.458e-10 J) = 1.873e-09 J\n", + " S[1][1] = +4.642e-01+3.889e-01i, |S[1][1]| = -4.356e+00, arg(S[1][1]) = +3.995e+01\n", "\n", - "It 55/61: ω/2π = 3.470e+00 GHz (total elapsed time = 1.72e+03 s)\n", + "It 55/121: ω/2π = 3.350e+00 GHz (total elapsed time = 4.63e+02 s)\n", "\n", - " Sol. ||E|| = 2.281375e+01\n", - " Field energy E (5.251e-11 J) + H (4.563e-11 J) = 9.814e-11 J\n", - " S[1][1] = +9.747e-01-1.501e-01i, |S[1][1]| = -1.210e-01, arg(S[1][1]) = -8.753e+00\n", + " Sol. ||E|| = 7.198532e+01\n", + " Field energy E (7.354e-10 J) + H (7.475e-10 J) = 1.483e-09 J\n", + " S[1][1] = +6.631e-01+2.554e-01i, |S[1][1]| = -2.967e+00, arg(S[1][1]) = +2.106e+01\n", "\n", - "It 56/61: ω/2π = 3.475e+00 GHz (total elapsed time = 1.75e+03 s)\n", + "It 56/121: ω/2π = 3.375e+00 GHz (total elapsed time = 4.66e+02 s)\n", "\n", - " Sol. ||E|| = 2.224332e+01\n", - " Field energy E (4.901e-11 J) + H (4.202e-11 J) = 9.103e-11 J\n", - " S[1][1] = +9.753e-01-1.528e-01i, |S[1][1]| = -1.114e-01, arg(S[1][1]) = -8.905e+00\n", + " Sol. ||E|| = 6.532213e+01\n", + " Field energy E (5.861e-10 J) + H (5.910e-10 J) = 1.177e-09 J\n", + " S[1][1] = +7.774e-01+1.032e-01i, |S[1][1]| = -2.111e+00, arg(S[1][1]) = +7.564e+00\n", "\n", " Wrote fields to disk (Paraview) at step 56\n", "\n", - "It 57/61: ω/2π = 3.480e+00 GHz (total elapsed time = 1.78e+03 s)\n", + "It 57/121: ω/2π = 3.400e+00 GHz (total elapsed time = 4.71e+02 s)\n", "\n", - " Sol. ||E|| = 2.173078e+01\n", - " Field energy E (4.594e-11 J) + H (3.883e-11 J) = 8.477e-11 J\n", - " S[1][1] = +9.759e-01-1.554e-01i, |S[1][1]| = -1.031e-01, arg(S[1][1]) = -9.048e+00\n", + " Sol. ||E|| = 6.007880e+01\n", + " Field energy E (4.771e-10 J) + H (4.753e-10 J) = 9.524e-10 J\n", + " S[1][1] = +8.339e-01-3.886e-02i, |S[1][1]| = -1.568e+00, arg(S[1][1]) = -2.668e+00\n", "\n", - "It 58/61: ω/2π = 3.485e+00 GHz (total elapsed time = 1.80e+03 s)\n", + "It 58/121: ω/2π = 3.425e+00 GHz (total elapsed time = 4.74e+02 s)\n", "\n", - " Sol. ||E|| = 2.126901e+01\n", - " Field energy E (4.323e-11 J) + H (3.602e-11 J) = 7.924e-11 J\n", - " S[1][1] = +9.764e-01-1.578e-01i, |S[1][1]| = -9.573e-02, arg(S[1][1]) = -9.182e+00\n", + " Sol. ||E|| = 5.608093e+01\n", + " Field energy E (3.988e-10 J) + H (3.912e-10 J) = 7.900e-10 J\n", + " S[1][1] = +8.546e-01-1.628e-01i, |S[1][1]| = -1.210e+00, arg(S[1][1]) = -1.079e+01\n", "\n", - "It 59/61: ω/2π = 3.490e+00 GHz (total elapsed time = 1.83e+03 s)\n", + "It 59/121: ω/2π = 3.450e+00 GHz (total elapsed time = 4.78e+02 s)\n", "\n", - " Sol. ||E|| = 2.085192e+01\n", - " Field energy E (4.082e-11 J) + H (3.351e-11 J) = 7.433e-11 J\n", - " S[1][1] = +9.767e-01-1.601e-01i, |S[1][1]| = -8.925e-02, arg(S[1][1]) = -9.309e+00\n", + " Sol. ||E|| = 5.307077e+01\n", + " Field energy E (3.422e-10 J) + H (3.298e-10 J) = 6.720e-10 J\n", + " S[1][1] = +8.536e-01-2.688e-01i, |S[1][1]| = -9.646e-01, arg(S[1][1]) = -1.748e+01\n", "\n", - "It 60/61: ω/2π = 3.495e+00 GHz (total elapsed time = 1.86e+03 s)\n", + "It 60/121: ω/2π = 3.475e+00 GHz (total elapsed time = 4.82e+02 s)\n", "\n", - " Sol. ||E|| = 2.047427e+01\n", - " Field energy E (3.867e-11 J) + H (3.128e-11 J) = 6.995e-11 J\n", - " S[1][1] = +9.771e-01-1.623e-01i, |S[1][1]| = -8.350e-02, arg(S[1][1]) = -9.429e+00\n", + " Sol. ||E|| = 5.081444e+01\n", + " Field energy E (3.009e-10 J) + H (2.844e-10 J) = 5.853e-10 J\n", + " S[1][1] = +8.394e-01-3.593e-01i, |S[1][1]| = -7.903e-01, arg(S[1][1]) = -2.317e+01\n", "\n", - "It 61/61: ω/2π = 3.500e+00 GHz (total elapsed time = 1.88e+03 s)\n", + "It 61/121: ω/2π = 3.500e+00 GHz (total elapsed time = 4.86e+02 s)\n", "\n", - " Sol. ||E|| = 2.013153e+01\n", - " Field energy E (3.675e-11 J) + H (2.928e-11 J) = 6.603e-11 J\n", - " S[1][1] = +9.773e-01-1.643e-01i, |S[1][1]| = -7.839e-02, arg(S[1][1]) = -9.542e+00\n", + " Sol. ||E|| = 4.912643e+01\n", + " Field energy E (2.703e-10 J) + H (2.504e-10 J) = 5.206e-10 J\n", + " S[1][1] = +8.170e-01-4.370e-01i, |S[1][1]| = -6.629e-01, arg(S[1][1]) = -2.815e+01\n", "\n", " Wrote fields to disk (Paraview) at step 61\n", "\n", + "It 62/121: ω/2π = 3.525e+00 GHz (total elapsed time = 4.90e+02 s)\n", + "\n", + " Sol. ||E|| = 4.786679e+01\n", + " Field energy E (2.472e-10 J) + H (2.245e-10 J) = 4.717e-10 J\n", + " S[1][1] = +7.893e-01-5.045e-01i, |S[1][1]| = -5.674e-01, arg(S[1][1]) = -3.259e+01\n", + "\n", + "It 63/121: ω/2π = 3.550e+00 GHz (total elapsed time = 4.94e+02 s)\n", + "\n", + " Sol. ||E|| = 4.693185e+01\n", + " Field energy E (2.297e-10 J) + H (2.045e-10 J) = 4.342e-10 J\n", + " S[1][1] = +7.581e-01-5.637e-01i, |S[1][1]| = -4.943e-01, arg(S[1][1]) = -3.663e+01\n", + "\n", + "It 64/121: ω/2π = 3.575e+00 GHz (total elapsed time = 4.98e+02 s)\n", + "\n", + " Sol. ||E|| = 4.624514e+01\n", + " Field energy E (2.163e-10 J) + H (1.889e-10 J) = 4.052e-10 J\n", + " S[1][1] = +7.244e-01-6.160e-01i, |S[1][1]| = -4.373e-01, arg(S[1][1]) = -4.038e+01\n", + "\n", + "It 65/121: ω/2π = 3.600e+00 GHz (total elapsed time = 5.02e+02 s)\n", + "\n", + " Sol. ||E|| = 4.575004e+01\n", + " Field energy E (2.059e-10 J) + H (1.766e-10 J) = 3.825e-10 J\n", + " S[1][1] = +6.889e-01-6.626e-01i, |S[1][1]| = -3.922e-01, arg(S[1][1]) = -4.388e+01\n", + "\n", + "It 66/121: ω/2π = 3.625e+00 GHz (total elapsed time = 5.06e+02 s)\n", + "\n", + " Sol. ||E|| = 4.540432e+01\n", + " Field energy E (1.978e-10 J) + H (1.669e-10 J) = 3.647e-10 J\n", + " S[1][1] = +6.520e-01-7.044e-01i, |S[1][1]| = -3.562e-01, arg(S[1][1]) = -4.721e+01\n", + "\n", + " Wrote fields to disk (Paraview) at step 66\n", + "\n", + "It 67/121: ω/2π = 3.650e+00 GHz (total elapsed time = 5.11e+02 s)\n", + "\n", + " Sol. ||E|| = 4.517625e+01\n", + " Field energy E (1.916e-10 J) + H (1.592e-10 J) = 3.508e-10 J\n", + " S[1][1] = +6.140e-01-7.420e-01i, |S[1][1]| = -3.271e-01, arg(S[1][1]) = -5.039e+01\n", + "\n", + "It 68/121: ω/2π = 3.675e+00 GHz (total elapsed time = 5.15e+02 s)\n", + "\n", + " Sol. ||E|| = 4.504170e+01\n", + " Field energy E (1.867e-10 J) + H (1.531e-10 J) = 3.398e-10 J\n", + " S[1][1] = +5.749e-01-7.759e-01i, |S[1][1]| = -3.033e-01, arg(S[1][1]) = -5.347e+01\n", + "\n", + "It 69/121: ω/2π = 3.700e+00 GHz (total elapsed time = 5.19e+02 s)\n", + "\n", + " Sol. ||E|| = 4.498213e+01\n", + " Field energy E (1.830e-10 J) + H (1.483e-10 J) = 3.313e-10 J\n", + " S[1][1] = +5.349e-01-8.066e-01i, |S[1][1]| = -2.839e-01, arg(S[1][1]) = -5.645e+01\n", + "\n", + "It 70/121: ω/2π = 3.725e+00 GHz (total elapsed time = 5.23e+02 s)\n", + "\n", + " Sol. ||E|| = 4.498316e+01\n", + " Field energy E (1.802e-10 J) + H (1.445e-10 J) = 3.247e-10 J\n", + " S[1][1] = +4.940e-01-8.343e-01i, |S[1][1]| = -2.680e-01, arg(S[1][1]) = -5.937e+01\n", + "\n", + "It 71/121: ω/2π = 3.750e+00 GHz (total elapsed time = 5.27e+02 s)\n", + "\n", + " Sol. ||E|| = 4.503348e+01\n", + " Field energy E (1.781e-10 J) + H (1.416e-10 J) = 3.197e-10 J\n", + " S[1][1] = +4.523e-01-8.593e-01i, |S[1][1]| = -2.549e-01, arg(S[1][1]) = -6.224e+01\n", + "\n", + " Wrote fields to disk (Paraview) at step 71\n", + "\n", + "It 72/121: ω/2π = 3.775e+00 GHz (total elapsed time = 5.32e+02 s)\n", + "\n", + " Sol. ||E|| = 4.512412e+01\n", + " Field energy E (1.766e-10 J) + H (1.394e-10 J) = 3.160e-10 J\n", + " S[1][1] = +4.098e-01-8.817e-01i, |S[1][1]| = -2.441e-01, arg(S[1][1]) = -6.507e+01\n", + "\n", + "It 73/121: ω/2π = 3.800e+00 GHz (total elapsed time = 5.36e+02 s)\n", + "\n", + " Sol. ||E|| = 4.524787e+01\n", + " Field energy E (1.756e-10 J) + H (1.379e-10 J) = 3.135e-10 J\n", + " S[1][1] = +3.666e-01-9.016e-01i, |S[1][1]| = -2.353e-01, arg(S[1][1]) = -6.787e+01\n", + "\n", + "It 74/121: ω/2π = 3.825e+00 GHz (total elapsed time = 5.41e+02 s)\n", + "\n", + " Sol. ||E|| = 4.539884e+01\n", + " Field energy E (1.750e-10 J) + H (1.368e-10 J) = 3.118e-10 J\n", + " S[1][1] = +3.226e-01-9.191e-01i, |S[1][1]| = -2.281e-01, arg(S[1][1]) = -7.066e+01\n", + "\n", + "It 75/121: ω/2π = 3.850e+00 GHz (total elapsed time = 5.45e+02 s)\n", + "\n", + " Sol. ||E|| = 4.557221e+01\n", + " Field energy E (1.748e-10 J) + H (1.362e-10 J) = 3.110e-10 J\n", + " S[1][1] = +2.780e-01-9.343e-01i, |S[1][1]| = -2.223e-01, arg(S[1][1]) = -7.343e+01\n", + "\n", + "It 76/121: ω/2π = 3.875e+00 GHz (total elapsed time = 5.49e+02 s)\n", + "\n", + " Sol. ||E|| = 4.576392e+01\n", + " Field energy E (1.749e-10 J) + H (1.360e-10 J) = 3.109e-10 J\n", + " S[1][1] = +2.326e-01-9.471e-01i, |S[1][1]| = -2.177e-01, arg(S[1][1]) = -7.620e+01\n", + "\n", + " Wrote fields to disk (Paraview) at step 76\n", + "\n", + "It 77/121: ω/2π = 3.900e+00 GHz (total elapsed time = 5.54e+02 s)\n", + "\n", + " Sol. ||E|| = 4.597055e+01\n", + " Field energy E (1.752e-10 J) + H (1.361e-10 J) = 3.113e-10 J\n", + " S[1][1] = +1.867e-01-9.576e-01i, |S[1][1]| = -2.140e-01, arg(S[1][1]) = -7.897e+01\n", + "\n", + "It 78/121: ω/2π = 3.925e+00 GHz (total elapsed time = 5.59e+02 s)\n", + "\n", + " Sol. ||E|| = 4.618917e+01\n", + " Field energy E (1.757e-10 J) + H (1.366e-10 J) = 3.123e-10 J\n", + " S[1][1] = +1.401e-01-9.659e-01i, |S[1][1]| = -2.113e-01, arg(S[1][1]) = -8.175e+01\n", + "\n", + "It 79/121: ω/2π = 3.950e+00 GHz (total elapsed time = 5.64e+02 s)\n", + "\n", + " Sol. ||E|| = 4.641721e+01\n", + " Field energy E (1.764e-10 J) + H (1.373e-10 J) = 3.137e-10 J\n", + " S[1][1] = +9.295e-02-9.718e-01i, |S[1][1]| = -2.093e-01, arg(S[1][1]) = -8.454e+01\n", + "\n", + "It 80/121: ω/2π = 3.975e+00 GHz (total elapsed time = 5.68e+02 s)\n", + "\n", + " Sol. ||E|| = 4.665239e+01\n", + " Field energy E (1.773e-10 J) + H (1.382e-10 J) = 3.155e-10 J\n", + " S[1][1] = +4.534e-02-9.753e-01i, |S[1][1]| = -2.079e-01, arg(S[1][1]) = -8.734e+01\n", + "\n", + "It 81/121: ω/2π = 4.000e+00 GHz (total elapsed time = 5.73e+02 s)\n", + "\n", + " Sol. ||E|| = 4.689268e+01\n", + " Field energy E (1.782e-10 J) + H (1.394e-10 J) = 3.176e-10 J\n", + " S[1][1] = -2.702e-03-9.764e-01i, |S[1][1]| = -2.071e-01, arg(S[1][1]) = -9.016e+01\n", + "\n", + " Wrote fields to disk (Paraview) at step 81\n", + "\n", + "It 82/121: ω/2π = 4.025e+00 GHz (total elapsed time = 5.78e+02 s)\n", + "\n", + " Sol. ||E|| = 4.713620e+01\n", + " Field energy E (1.793e-10 J) + H (1.407e-10 J) = 3.200e-10 J\n", + " S[1][1] = -5.108e-02-9.751e-01i, |S[1][1]| = -2.067e-01, arg(S[1][1]) = -9.300e+01\n", + "\n", + "It 83/121: ω/2π = 4.050e+00 GHz (total elapsed time = 5.83e+02 s)\n", + "\n", + " Sol. ||E|| = 4.738124e+01\n", + " Field energy E (1.804e-10 J) + H (1.422e-10 J) = 3.226e-10 J\n", + " S[1][1] = -9.972e-02-9.714e-01i, |S[1][1]| = -2.068e-01, arg(S[1][1]) = -9.586e+01\n", + "\n", + "It 84/121: ω/2π = 4.075e+00 GHz (total elapsed time = 5.88e+02 s)\n", + "\n", + " Sol. ||E|| = 4.762618e+01\n", + " Field energy E (1.816e-10 J) + H (1.439e-10 J) = 3.254e-10 J\n", + " S[1][1] = -1.485e-01-9.651e-01i, |S[1][1]| = -2.072e-01, arg(S[1][1]) = -9.875e+01\n", + "\n", + "It 85/121: ω/2π = 4.100e+00 GHz (total elapsed time = 5.93e+02 s)\n", + "\n", + " Sol. ||E|| = 4.786949e+01\n", + " Field energy E (1.828e-10 J) + H (1.457e-10 J) = 3.284e-10 J\n", + " S[1][1] = -1.974e-01-9.562e-01i, |S[1][1]| = -2.078e-01, arg(S[1][1]) = -1.017e+02\n", + "\n", + "It 86/121: ω/2π = 4.125e+00 GHz (total elapsed time = 5.98e+02 s)\n", + "\n", + " Sol. ||E|| = 4.810968e+01\n", + " Field energy E (1.840e-10 J) + H (1.476e-10 J) = 3.316e-10 J\n", + " S[1][1] = -2.461e-01-9.447e-01i, |S[1][1]| = -2.087e-01, arg(S[1][1]) = -1.046e+02\n", + "\n", + " Wrote fields to disk (Paraview) at step 86\n", + "\n", + "It 87/121: ω/2π = 4.150e+00 GHz (total elapsed time = 6.03e+02 s)\n", + "\n", + " Sol. ||E|| = 4.834536e+01\n", + " Field energy E (1.852e-10 J) + H (1.496e-10 J) = 3.348e-10 J\n", + " S[1][1] = -2.947e-01-9.306e-01i, |S[1][1]| = -2.098e-01, arg(S[1][1]) = -1.076e+02\n", + "\n", + "It 88/121: ω/2π = 4.175e+00 GHz (total elapsed time = 6.08e+02 s)\n", + "\n", + " Sol. ||E|| = 4.857513e+01\n", + " Field energy E (1.865e-10 J) + H (1.516e-10 J) = 3.381e-10 J\n", + " S[1][1] = -3.430e-01-9.137e-01i, |S[1][1]| = -2.111e-01, arg(S[1][1]) = -1.106e+02\n", + "\n", + "It 89/121: ω/2π = 4.200e+00 GHz (total elapsed time = 6.13e+02 s)\n", + "\n", + " Sol. ||E|| = 4.879766e+01\n", + " Field energy E (1.877e-10 J) + H (1.538e-10 J) = 3.415e-10 J\n", + " S[1][1] = -3.907e-01-8.942e-01i, |S[1][1]| = -2.124e-01, arg(S[1][1]) = -1.136e+02\n", + "\n", + "It 90/121: ω/2π = 4.225e+00 GHz (total elapsed time = 6.18e+02 s)\n", + "\n", + " Sol. ||E|| = 4.901163e+01\n", + " Field energy E (1.888e-10 J) + H (1.560e-10 J) = 3.448e-10 J\n", + " S[1][1] = -4.379e-01-8.719e-01i, |S[1][1]| = -2.138e-01, arg(S[1][1]) = -1.167e+02\n", + "\n", + "It 91/121: ω/2π = 4.250e+00 GHz (total elapsed time = 6.23e+02 s)\n", + "\n", + " Sol. ||E|| = 4.921578e+01\n", + " Field energy E (1.900e-10 J) + H (1.582e-10 J) = 3.482e-10 J\n", + " S[1][1] = -4.842e-01-8.469e-01i, |S[1][1]| = -2.153e-01, arg(S[1][1]) = -1.198e+02\n", + "\n", + " Wrote fields to disk (Paraview) at step 91\n", + "\n", + "It 92/121: ω/2π = 4.275e+00 GHz (total elapsed time = 6.29e+02 s)\n", + "\n", + " Sol. ||E|| = 4.940885e+01\n", + " Field energy E (1.910e-10 J) + H (1.605e-10 J) = 3.515e-10 J\n", + " S[1][1] = -5.295e-01-8.191e-01i, |S[1][1]| = -2.167e-01, arg(S[1][1]) = -1.229e+02\n", + "\n", + "It 93/121: ω/2π = 4.300e+00 GHz (total elapsed time = 6.34e+02 s)\n", + "\n", + " Sol. ||E|| = 4.958965e+01\n", + " Field energy E (1.920e-10 J) + H (1.628e-10 J) = 3.548e-10 J\n", + " S[1][1] = -5.736e-01-7.887e-01i, |S[1][1]| = -2.181e-01, arg(S[1][1]) = -1.260e+02\n", + "\n", + "It 94/121: ω/2π = 4.325e+00 GHz (total elapsed time = 6.39e+02 s)\n", + "\n", + " Sol. ||E|| = 4.975705e+01\n", + " Field energy E (1.929e-10 J) + H (1.651e-10 J) = 3.580e-10 J\n", + " S[1][1] = -6.164e-01-7.555e-01i, |S[1][1]| = -2.195e-01, arg(S[1][1]) = -1.292e+02\n", + "\n", + "It 95/121: ω/2π = 4.350e+00 GHz (total elapsed time = 6.44e+02 s)\n", + "\n", + " Sol. ||E|| = 4.991008e+01\n", + " Field energy E (1.937e-10 J) + H (1.673e-10 J) = 3.610e-10 J\n", + " S[1][1] = -6.576e-01-7.197e-01i, |S[1][1]| = -2.208e-01, arg(S[1][1]) = -1.324e+02\n", + "\n", + "It 96/121: ω/2π = 4.375e+00 GHz (total elapsed time = 6.50e+02 s)\n", + "\n", + " Sol. ||E|| = 5.004746e+01\n", + " Field energy E (1.944e-10 J) + H (1.696e-10 J) = 3.640e-10 J\n", + " S[1][1] = -6.971e-01-6.813e-01i, |S[1][1]| = -2.220e-01, arg(S[1][1]) = -1.357e+02\n", + "\n", + " Wrote fields to disk (Paraview) at step 96\n", + "\n", + "It 97/121: ω/2π = 4.400e+00 GHz (total elapsed time = 6.56e+02 s)\n", + "\n", + " Sol. ||E|| = 5.016682e+01\n", + " Field energy E (1.949e-10 J) + H (1.718e-10 J) = 3.667e-10 J\n", + " S[1][1] = -7.347e-01-6.404e-01i, |S[1][1]| = -2.230e-01, arg(S[1][1]) = -1.389e+02\n", + "\n", + "It 98/121: ω/2π = 4.425e+00 GHz (total elapsed time = 6.62e+02 s)\n", + "\n", + " Sol. ||E|| = 5.026887e+01\n", + " Field energy E (1.953e-10 J) + H (1.739e-10 J) = 3.692e-10 J\n", + " S[1][1] = -7.701e-01-5.972e-01i, |S[1][1]| = -2.238e-01, arg(S[1][1]) = -1.422e+02\n", + "\n", + "It 99/121: ω/2π = 4.450e+00 GHz (total elapsed time = 6.67e+02 s)\n", + "\n", + " Sol. ||E|| = 5.035261e+01\n", + " Field energy E (1.956e-10 J) + H (1.759e-10 J) = 3.715e-10 J\n", + " S[1][1] = -8.033e-01-5.517e-01i, |S[1][1]| = -2.245e-01, arg(S[1][1]) = -1.455e+02\n", + "\n", + "It 100/121: ω/2π = 4.475e+00 GHz (total elapsed time = 6.73e+02 s)\n", + "\n", + " Sol. ||E|| = 5.041702e+01\n", + " Field energy E (1.958e-10 J) + H (1.779e-10 J) = 3.736e-10 J\n", + " S[1][1] = -8.339e-01-5.041e-01i, |S[1][1]| = -2.251e-01, arg(S[1][1]) = -1.488e+02\n", + "\n", + "It 101/121: ω/2π = 4.500e+00 GHz (total elapsed time = 6.79e+02 s)\n", + "\n", + " Sol. ||E|| = 5.046133e+01\n", + " Field energy E (1.958e-10 J) + H (1.797e-10 J) = 3.755e-10 J\n", + " S[1][1] = -8.619e-01-4.545e-01i, |S[1][1]| = -2.254e-01, arg(S[1][1]) = -1.522e+02\n", + "\n", + " Wrote fields to disk (Paraview) at step 101\n", + "\n", + "It 102/121: ω/2π = 4.525e+00 GHz (total elapsed time = 6.85e+02 s)\n", + "\n", + " Sol. ||E|| = 5.048491e+01\n", + " Field energy E (1.956e-10 J) + H (1.814e-10 J) = 3.771e-10 J\n", + " S[1][1] = -8.871e-01-4.031e-01i, |S[1][1]| = -2.255e-01, arg(S[1][1]) = -1.556e+02\n", + "\n", + "It 103/121: ω/2π = 4.550e+00 GHz (total elapsed time = 6.90e+02 s)\n", + "\n", + " Sol. ||E|| = 5.048724e+01\n", + " Field energy E (1.953e-10 J) + H (1.831e-10 J) = 3.784e-10 J\n", + " S[1][1] = -9.093e-01-3.501e-01i, |S[1][1]| = -2.253e-01, arg(S[1][1]) = -1.589e+02\n", + "\n", + "It 104/121: ω/2π = 4.575e+00 GHz (total elapsed time = 6.96e+02 s)\n", + "\n", + " Sol. ||E|| = 5.046792e+01\n", + " Field energy E (1.948e-10 J) + H (1.845e-10 J) = 3.793e-10 J\n", + " S[1][1] = -9.285e-01-2.957e-01i, |S[1][1]| = -2.250e-01, arg(S[1][1]) = -1.623e+02\n", + "\n", + "It 105/121: ω/2π = 4.600e+00 GHz (total elapsed time = 7.02e+02 s)\n", + "\n", + " Sol. ||E|| = 5.042668e+01\n", + " Field energy E (1.942e-10 J) + H (1.859e-10 J) = 3.800e-10 J\n", + " S[1][1] = -9.444e-01-2.401e-01i, |S[1][1]| = -2.244e-01, arg(S[1][1]) = -1.657e+02\n", + "\n", + "It 106/121: ω/2π = 4.625e+00 GHz (total elapsed time = 7.08e+02 s)\n", + "\n", + " Sol. ||E|| = 5.036334e+01\n", + " Field energy E (1.934e-10 J) + H (1.870e-10 J) = 3.804e-10 J\n", + " S[1][1] = -9.571e-01-1.836e-01i, |S[1][1]| = -2.237e-01, arg(S[1][1]) = -1.691e+02\n", + "\n", + " Wrote fields to disk (Paraview) at step 106\n", + "\n", + "It 107/121: ω/2π = 4.650e+00 GHz (total elapsed time = 7.14e+02 s)\n", + "\n", + " Sol. ||E|| = 5.027788e+01\n", + " Field energy E (1.924e-10 J) + H (1.880e-10 J) = 3.804e-10 J\n", + " S[1][1] = -9.665e-01-1.264e-01i, |S[1][1]| = -2.227e-01, arg(S[1][1]) = -1.725e+02\n", + "\n", + "It 108/121: ω/2π = 4.675e+00 GHz (total elapsed time = 7.20e+02 s)\n", + "\n", + " Sol. ||E|| = 5.017039e+01\n", + " Field energy E (1.912e-10 J) + H (1.889e-10 J) = 3.801e-10 J\n", + " S[1][1] = -9.724e-01-6.879e-02i, |S[1][1]| = -2.215e-01, arg(S[1][1]) = -1.760e+02\n", + "\n", + "It 109/121: ω/2π = 4.700e+00 GHz (total elapsed time = 7.26e+02 s)\n", + "\n", + " Sol. ||E|| = 5.004110e+01\n", + " Field energy E (1.899e-10 J) + H (1.896e-10 J) = 3.795e-10 J\n", + " S[1][1] = -9.749e-01-1.093e-02i, |S[1][1]| = -2.201e-01, arg(S[1][1]) = -1.794e+02\n", + "\n", + "It 110/121: ω/2π = 4.725e+00 GHz (total elapsed time = 7.32e+02 s)\n", + "\n", + " Sol. ||E|| = 4.989037e+01\n", + " Field energy E (1.885e-10 J) + H (1.901e-10 J) = 3.785e-10 J\n", + " S[1][1] = -9.740e-01+4.687e-02i, |S[1][1]| = -2.186e-01, arg(S[1][1]) = +1.772e+02\n", + "\n", + "It 111/121: ω/2π = 4.750e+00 GHz (total elapsed time = 7.38e+02 s)\n", + "\n", + " Sol. ||E|| = 4.971867e+01\n", + " Field energy E (1.869e-10 J) + H (1.904e-10 J) = 3.773e-10 J\n", + " S[1][1] = -9.697e-01+1.044e-01i, |S[1][1]| = -2.169e-01, arg(S[1][1]) = +1.739e+02\n", + "\n", + " Wrote fields to disk (Paraview) at step 111\n", + "\n", + "It 112/121: ω/2π = 4.775e+00 GHz (total elapsed time = 7.45e+02 s)\n", + "\n", + " Sol. ||E|| = 4.952662e+01\n", + " Field energy E (1.851e-10 J) + H (1.905e-10 J) = 3.757e-10 J\n", + " S[1][1] = -9.621e-01+1.613e-01i, |S[1][1]| = -2.151e-01, arg(S[1][1]) = +1.705e+02\n", + "\n", + "It 113/121: ω/2π = 4.800e+00 GHz (total elapsed time = 7.51e+02 s)\n", + "\n", + " Sol. ||E|| = 4.931492e+01\n", + " Field energy E (1.833e-10 J) + H (1.905e-10 J) = 3.738e-10 J\n", + " S[1][1] = -9.512e-01+2.175e-01i, |S[1][1]| = -2.133e-01, arg(S[1][1]) = +1.671e+02\n", + "\n", + "It 114/121: ω/2π = 4.825e+00 GHz (total elapsed time = 7.58e+02 s)\n", + "\n", + " Sol. ||E|| = 4.908440e+01\n", + " Field energy E (1.813e-10 J) + H (1.903e-10 J) = 3.715e-10 J\n", + " S[1][1] = -9.371e-01+2.727e-01i, |S[1][1]| = -2.113e-01, arg(S[1][1]) = +1.638e+02\n", + "\n", + "It 115/121: ω/2π = 4.850e+00 GHz (total elapsed time = 7.64e+02 s)\n", + "\n", + " Sol. ||E|| = 4.883600e+01\n", + " Field energy E (1.792e-10 J) + H (1.899e-10 J) = 3.690e-10 J\n", + " S[1][1] = -9.199e-01+3.266e-01i, |S[1][1]| = -2.093e-01, arg(S[1][1]) = +1.605e+02\n", + "\n", + "It 116/121: ω/2π = 4.875e+00 GHz (total elapsed time = 7.70e+02 s)\n", + "\n", + " Sol. ||E|| = 4.857073e+01\n", + " Field energy E (1.770e-10 J) + H (1.893e-10 J) = 3.663e-10 J\n", + " S[1][1] = -8.998e-01+3.791e-01i, |S[1][1]| = -2.073e-01, arg(S[1][1]) = +1.572e+02\n", + "\n", + " Wrote fields to disk (Paraview) at step 116\n", + "\n", + "It 117/121: ω/2π = 4.900e+00 GHz (total elapsed time = 7.77e+02 s)\n", + "\n", + " Sol. ||E|| = 4.828969e+01\n", + " Field energy E (1.746e-10 J) + H (1.886e-10 J) = 3.633e-10 J\n", + " S[1][1] = -8.769e-01+4.300e-01i, |S[1][1]| = -2.054e-01, arg(S[1][1]) = +1.539e+02\n", + "\n", + "It 118/121: ω/2π = 4.925e+00 GHz (total elapsed time = 7.83e+02 s)\n", + "\n", + " Sol. ||E|| = 4.799404e+01\n", + " Field energy E (1.723e-10 J) + H (1.877e-10 J) = 3.600e-10 J\n", + " S[1][1] = -8.513e-01+4.791e-01i, |S[1][1]| = -2.034e-01, arg(S[1][1]) = +1.506e+02\n", + "\n", + "It 119/121: ω/2π = 4.950e+00 GHz (total elapsed time = 7.90e+02 s)\n", + "\n", + " Sol. ||E|| = 4.768500e+01\n", + " Field energy E (1.698e-10 J) + H (1.867e-10 J) = 3.565e-10 J\n", + " S[1][1] = -8.233e-01+5.262e-01i, |S[1][1]| = -2.015e-01, arg(S[1][1]) = +1.474e+02\n", + "\n", + "It 120/121: ω/2π = 4.975e+00 GHz (total elapsed time = 7.96e+02 s)\n", + "\n", + " Sol. ||E|| = 4.736384e+01\n", + " Field energy E (1.673e-10 J) + H (1.856e-10 J) = 3.529e-10 J\n", + " S[1][1] = -7.929e-01+5.712e-01i, |S[1][1]| = -1.997e-01, arg(S[1][1]) = +1.442e+02\n", + "\n", + "It 121/121: ω/2π = 5.000e+00 GHz (total elapsed time = 8.03e+02 s)\n", + "\n", + " Sol. ||E|| = 4.703184e+01\n", + " Field energy E (1.647e-10 J) + H (1.843e-10 J) = 3.490e-10 J\n", + " S[1][1] = -7.605e-01+6.141e-01i, |S[1][1]| = -1.981e-01, arg(S[1][1]) = +1.411e+02\n", + "\n", + " Wrote fields to disk (Paraview) at step 121\n", + "\n", "Completed 0 iterations of adaptive mesh refinement (AMR):\n", - " Indicator norm = 1.504e-01, global unknowns = 262514\n", + " Indicator norm = 1.355e-01, global unknowns = 328150\n", " Max. iterations = 0, tol. = 1.000e-02\n", "\n", + "Estimated peak per-rank memory usage is: Min. 269.4M, Max. 1.3G, Avg. 347.6M, Total 5.4G\n", + "Estimated peak per-node memory usage is: Min. 5.4G, Max. 5.4G, Avg. 5.4G, Total 5.4G\n", + "\n", "Elapsed Time Report (s) Min. Max. Avg.\n", "==============================================================\n", - "Initialization 0.252 0.292 0.274\n", - " Mesh Preprocessing 1.030 1.035 1.033\n", - "Operator Construction 10.330 640.941 601.409\n", - "Linear Solve 170.693 171.474 170.902\n", - " Setup 59.195 59.232 59.210\n", - " Preconditioner 339.300 349.950 347.137\n", - " Coarse Solve 172.671 182.654 175.365\n", - "PROM Construction 2.027 2.126 2.079\n", - "PROM Solve 0.035 0.045 0.038\n", - "Estimation 0.147 0.307 0.208\n", - " Construction 9.039 9.054 9.048\n", - " Solve 72.918 73.032 72.983\n", - "Postprocessing 9.062 808.378 59.146\n", - " Far Fields 229.747 230.084 229.944\n", - " Paraview 37.690 206.591 195.937\n", - "Disk IO 0.686 0.721 0.703\n", + "Initialization 0.059 0.203 0.192\n", + " Mesh Preprocessing 0.136 0.269 0.144\n", + "Operator Construction 4.723 248.272 233.037\n", + "Linear Solve 35.266 35.809 35.454\n", + " Setup 16.159 16.161 16.161\n", + " Preconditioner 240.325 242.331 241.840\n", + " Coarse Solve 18.212 19.686 18.522\n", + "PROM Construction 0.493 0.502 0.496\n", + "PROM Solve 0.121 0.134 0.126\n", + "Estimation 0.156 0.174 0.164\n", + " Construction 0.597 0.598 0.597\n", + " Solve 12.978 12.990 12.985\n", + "Postprocessing 1.752 308.209 20.914\n", + " Far Fields 155.132 155.157 155.145\n", + " Paraview 16.129 79.051 75.115\n", + "Disk IO 0.121 0.122 0.121\n", "--------------------------------------------------------------\n", - "Total 1925.602 1925.614 1925.607\n", + "Total 811.490 811.517 811.506\n", + "\n", + "Peak Memory Per-Node Total Total HWM\n", + "==============================================================\n", + "Initialization 75.4M 75.4M 75.4M\n", + " Mesh Preprocessing 75.0M 75.0M 150.4M\n", + "Operator Construction 206.1M 206.1M 356.6M\n", + "Linear Solve 1.0M 1.0M 357.6M\n", + " Setup 831.7M 831.7M 1.2G\n", + " Preconditioner 31.6M 31.6M 1.2G\n", + " Coarse Solve 2.2G 2.2G 3.4G\n", + "PROM Construction 0.0K 0.0K 3.4G\n", + "PROM Solve 276.0K 276.0K 3.4G\n", + "Estimation 2.5M 2.5M 3.4G\n", + " Construction 345.0M 345.0M 3.7G\n", + " Solve 0.0K 0.0K 3.7G\n", + "Postprocessing 1.0G 1.0G 4.8G\n", + " Far Fields 0.0K 0.0K 4.8G\n", + " Paraview 1.9M 1.9M 4.8G\n", + "Disk IO 18.4M 18.4M 4.8G\n", + "--------------------------------------------------------------\n", + "Total 5.1G 5.1G 5.1G\n", "\n" ] } ], "source": [ - "#from palacetoolkit.simulation import set_palace_path, run_palace\n", - "#set_palace_path(\"/mnt/c/Users/loloc/Desktop/Palace/palace/Palace.sif\") # where palace is installed\n", - "\n", + "from palacetoolkit.simulation import set_palace_path, run_palace\n", "run_palace(config_file=\"patch.config\", num_procs=16)" ] }, @@ -1953,13 +3691,13 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 10, "id": "17031e58", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -1980,7 +3718,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 11, "id": "66fc97b6", "metadata": {}, "outputs": [ @@ -1989,17 +3727,17 @@ "output_type": "stream", "text": [ "Columns found: ['f', 'theta', 'phi', 'r*Re{E_x}', 'r*Im{E_x}', 'r*Re{E_y}', 'r*Im{E_y}', 'r*Re{E_z}', 'r*Im{E_z}']\n", - "Processing frequency: 3.37 GHz (32000 rows)\n", + "Processing frequency: 3.275 GHz (16000 rows)\n", "Extracting E-plane...\n", - " E-plane phi~0°: 544 points\n", - " E-plane phi~180°: 894 points\n", + " E-plane phi~0°: 298 points\n", + " E-plane phi~180°: 458 points\n", "Extracting H-plane...\n", - " H-plane theta~90°: 3640 points\n" + " H-plane theta~90°: 1922 points\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -2015,7 +3753,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 12, "id": "8d6ae149", "metadata": {}, "outputs": [ @@ -2023,7 +3761,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/loloc/PalaceToolkit/src/palacetoolkit/plot_farfield.py:207: PyVistaFutureWarning: The default value of `algorithm` for the filter\n", + "/home/martin/Desktop/PalaceToolkit/src/palacetoolkit/plot_farfield.py:207: PyVistaFutureWarning: The default value of `algorithm` for the filter\n", "`StructuredGrid.extract_surface` will change in the future. It currently defaults to\n", "`'dataset_surface'`, but will change to `None`. Explicitly set the `algorithm` keyword to\n", "silence this warning.\n", @@ -2033,12 +3771,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "24e8f87645e248e684ba7bcd29d582a1", + "model_id": "35bff6b2a42b411aba2710452f72bd69", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "Widget(value='