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A package to solve global optimization problems in small dimensions. The method is based on sampling algorithms, and specifically implements the high-resolution Langevin algorithm.
pip install globaloptimizationhrla
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
GlobalOptimizationHRLA publishes 1 wheel and 1 source archive for version 1.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 11 releases with files. The first dated release is ; 11 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .