mittelmann-plots
Visualizations of Mittelmann benchmarks
Optimization Support Manager at Gurobi - PhD in Mathematics
Visualizations of Mittelmann benchmarks
Visual representation of the branch-and-cut tree of SCIP using spatial dissimilarities of LP solutions
Run Gurobi against open source solvers to benchmark LP and MIP performance
LP solver developed by Julian Hall, Qi Huangfu, and Ivet Galabova.
Julia interface for Gurobi Optimizer
Python interface for the SCIP Optimization Suite (scip.zib.de)
scikit-learn: machine learning in Python
a Python library for visualizing various aspects of mathematical programming
simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work
Personal webpage
Google's Operations Research tools:
Gurobi modeling examples