PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
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Updated
Jun 12, 2024 - Python
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
HALeqO solver for nonlinear equality-constrained optimization
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
A library of modern Fortran modules for nonlinear optimization
A primal-dual augmented Lagrangian solver for nonlinear programming on manifolds.
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., COBYLA, UOBYQA, NEWUOA, BOBYQA, and LINCOA. PRIMA means Reference Implementation for Powell's methods with Modernization and Amelioration, P for Powell.
MatCUTEst is a package for facilitating the usage of CUTEst (https://github.com/ralna/CUTEst) in MATLAB on Linux.
skscope: Sparse-Constrained OPtimization via itErative-solvers
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
SAGECal is a fast, memory efficient and GPU accelerated radio interferometric calibration program. It supports all source models including points, Gaussians and Shapelets. Distributed calibration using MPI and consensus optimization is enabled. Both spectral and spatial priors can be used as constraints. Tools to build/restore sky models are inc…
Improved LBFGS and LBFGS-B optimizers in PyTorch.
Minotaur Toolkit for Mixed-Integer Nonlinear Optimization
Represent trained machine learning models as Pyomo optimization formulations
HPC solver for nonlinear optimization problems
Python interface for the SCIP Optimization Suite
A portable modern C++ primitive performance library for 3D Vision & Photo-Mechanics.
Contains html (and potentially other) documentation for GALAHAD to act as a web source
AMPL Model Colaboratory
Powell's Derivative-Free Optimization solvers.
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