automatic differentiation made easier for C++
High Dimensional Numerical and Symbolic Calculus in R
Repository for Numerical Analysis course given by Assoc. Prof. Dr. Bora Canbula at Computer Engineering Department of Manisa Celal Bayar University.
Algorithmic differentiation with hyper-dual numbers in C++ and Python
Reversed mode second order automatic differentiation for python (WIP)
Cheat Sheet for "Ampliación de Matemáticas 2" subject of Bachelor's Degree in Statistics at UVa
this course is one of the undergraduate courses in Sharif university of technology that is about method of numerical solving methods of differential equation linear and non linear form , numerical integration calculation , numerical derivatives, solving equation and many other topics
Auto-Differentiation Engine in C/C++
Practical work on the computer workshop
Modules tackled from the Applied Physics 155 class under Ma'am Reinabelle Reyes, PhD and Sir Rene Principe Jr.
Numerical derivation according to the Neville method
Implementing Gaussian method for derivative estimation for an arbitrary number of points in MATLAB
n particles are positioned randomly and with a random initial velocity in a 2D radial potential V(r). This repository tries to compute the path that the particles describe using numerical methods, Runge-Kutta for numerical derivation specifically, and to plot it via gnuplot.
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