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Awesome GitHub RepositoriesIll-Conditioned Function Optimization
Specialized methods for optimizing functions that are poorly scaled or rotated.
Distinct from Objective Function Minimization: Focuses on the specific mathematical challenge of ill-conditioned functions rather than general objective minimization.
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Awesome Ill-Conditioned Function Optimization GitHub Repositories
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- facebookresearch/nevergrad
facebookresearch/nevergrad
4,151Auf GitHub ansehenNevergrad is a gradient-free optimization library and hyperparameter optimization framework designed to find the minimum of objective functions without using derivatives. It serves as an asynchronous optimization engine that decouples parameter suggestions from result reporting to support parallel function evaluations. The project specializes in multi-objective optimization to identify Pareto fronts for competing goals and provides a suite for benchmarking the performance and convergence of different optimization routines. It supports black-box system optimization, enabling the tuning of exte
Solves optimization problems involving rotated or poorly scaled objective functions using comparison-based methods.
Python
