Python interface for OSQP
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Updated
May 13, 2024 - Python
Python interface for OSQP
A Python-embedded modeling language for convex optimization problems.
a gradient-based optimisation routine for highly parameterised non-linear dynamical models
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 nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT
Blockwise Direct Search
The Quadratic Primal-Dual Optimizer
Directory of Fortran codes on GitHub, arranged by topic
Project page of VerHem FEM 18 componnets GL eqns solver project
The fdaPDE core library is a C++ header-only library for Partial Differential Equation discretization, computational geometry, unconstrained nonlinear optimization, linear algebra and much more.
A large scale non-linear optimization library
Quadratic programming solvers in Python with a unified API
MatCUTEst is a package for facilitating the usage of CUTEst (https://github.com/ralna/CUTEst) in MATLAB on Linux.
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.
Python library for arbitrary-precision floating-point arithmetic
Python interface to the QDLDL(https://github.com/osqp/qdldl) free LDL factorization routine for quasi-definite linear systems
Estimagic is a Python package for nonlinear optimization with or without constraints. It is particularly suited to solve difficult nonlinear estimation problems. On top, it provides functionality to perform statistical inference on estimated parameters.
Linear programming solvers in Python with a unified API
A library of modern Fortran modules for nonlinear optimization
C++ numerical optimization and machine learning utilities using Eigen3
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