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.
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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