Bertsimas#2
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- benchmark.py: add per-row CSV save + resume logic so SCIP crashes (which happen for N>=75) no longer lose completed results - compare_bpc.py: updated comparison chart now includes N=50 data and distinguishes optimal vs timeout runs with open/closed markers - results: updated CSVs and PNGs with N=50 results (3 seeds, both schemes); OA and BnA achieve 0.00% optimality gap for all N<=50
- run_bertsimas_benchmark: add schemes_to_run param to run only scheme1 or scheme2 (default: both); avoids SCIP crashes when running large N on scheme1 instances - --bertsimas-schemes CLI arg: comma-separated, e.g. scheme2 only - compare_bpc.py: prefer file-based results when available (same Andersen instances as paper); fall back to random Bertsimas results - run_benchmark(from_file): skip old CSV if it lacks oa/bna columns, add incremental saving and BnA/OA columns to output
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