Python trust-region subproblem solvers for nonlinear optimization
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Updated
May 30, 2024 - Python
Python trust-region subproblem solvers for nonlinear optimization
POT : Python Optimal Transport
Python interface for SCS
C++ numerical optimization and machine learning utilities using Eigen3
A large scale non-linear optimization library
ReSHOP solver
This is our Github Repository containing the Python projects for the course: Introduction to Programming and Numerical Analysis at the University of Copenhagen
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
A Python-embedded modeling language for convex optimization problems.
A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP (SQP) and IPOPT (barrier/interior-point method) in a modern and generic way, and unlocks methods never seen before. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
A library of modern Fortran modules for nonlinear optimization
Package to call the NLopt nonlinear-optimization library from the Julia language
Directory of Fortran codes on GitHub, arranged by topic
Linear programming solvers in Python with a unified API
Python packing of the physical model motor gestures to characterize and create birdsongs
Global optimization Fortran 95 code of Alan Miller, who translated a Fortran 77 code of Tibor Csendes
This repository contains the GCMMA developed by Prof. Svanberg programmed in Fortran, essentially an adaptation of the code originally presented in Matlab.
Blockwise Direct Search
Powell's Derivative-Free Optimization solvers.
Several Haskell packages for numerical optimizations.
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