An efficient GPU-compatible library built on PyTorch, offering a wide range of proximal operators and constraints for optimization and machine learning tasks.
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Updated
Oct 9, 2023 - Python
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proximal-operator
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Proximal operators for use with RegularizedOptimization
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Apr 14, 2026 - Julia
A Stochastic Primal-Dual Proximal Splitting Method for Risk-Averse Optimal Control of PDEs
optimization optimal-control stochastic-optimization pdes conditional-value-at-risk non-smooth-optimization risk-averse proximal-operator
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Updated
Sep 10, 2023 - Julia
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