The Constrained and Unconstrained Testing Environment with safe threads (CUTEst) for optimization software
-
Updated
Jun 13, 2024 - Fortran
The Constrained and Unconstrained Testing Environment with safe threads (CUTEst) for optimization software
PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/
Directory of Fortran codes on GitHub, arranged by topic
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.
This is our Github Repository containing the Python projects for the course: Introduction to Programming and Numerical Analysis at the University of Copenhagen
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.
ReSHOP solver
A library of modern Fortran modules for nonlinear optimization
Blockwise Direct Search
Python library for arbitrary-precision floating-point arithmetic
A Python-embedded modeling language for convex optimization problems.
Python interface for SCS
Numerical methods are a collection of techniques used to find approximate solutions to mathematical problems that cannot be solved exactly. These methods are essential for tackling complex equations and models in various fields such as engineering, physics, and finance.
Quadratic programming solvers in Python with a unified API
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.
Python packing of the physical model motor gestures to characterize and create birdsongs
A large scale non-linear optimization library
Probabilistic Inference on Noisy Time Series
Add a description, image, and links to the numerical-optimization topic page so that developers can more easily learn about it.
To associate your repository with the numerical-optimization topic, visit your repo's landing page and select "manage topics."