Fast benchmarks for optimization algorithms with visualizations. Supports pytorch optimizers as well as solvers from other libraries such as scipy.optimize, optuna, etc
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Updated
Jan 26, 2026 - Python
Fast benchmarks for optimization algorithms with visualizations. Supports pytorch optimizers as well as solvers from other libraries such as scipy.optimize, optuna, etc
Test Cases for Regularized Optimization
PyDDRBG: A Python framework for benchmarking and evaluating static and dynamic multimodal optimization methods. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001850
A collection of semidefinite programs that can be randomly generated. Taken from various applications.
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