libprima / primaLinks
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 Powel…
☆369Updated last week
Alternatives and similar repositories for prima
Users that are interested in prima are comparing it to the libraries listed below
Sorting:
- A library of modern Fortran modules for nonlinear optimization☆164Updated last week
- A derivative-free solver for general nonlinear optimization.☆51Updated 7 months ago
- The Constrained and Unconstrained Testing Environment with safe threads (CUTEst) for optimization software☆119Updated 2 weeks ago
- Powell's Derivative-Free Optimization solvers.☆106Updated 5 months ago
- Modern Fortran Edition of the SLSQP Optimizer☆104Updated 6 months ago
- Survey of the packages of the Julia ecosystem for solving partial differential equations☆285Updated 4 months ago
- Modernized Minpack: for solving nonlinear equations and nonlinear least squares problems☆116Updated last year
- Solution of nonlinear multiphysics partial differential equation systems using the Voronoi finite volume method☆286Updated this week
- Python wrapper of LSODA (solving ODEs) which can be called from within numba functions.☆100Updated 2 years ago
- Surrogate modeling and optimization for scientific machine learning (SciML)☆357Updated 2 months ago
- Python interface to CUTEst☆37Updated 3 weeks ago
- A Julia Basket of Hand-Picked Krylov Methods☆435Updated last week
- GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem☆309Updated this week
- Sparse Parallel Robust Algorithms Library☆129Updated last month
- Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcom…☆606Updated this week
- Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid☆192Updated 3 weeks ago
- Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains☆211Updated last week
- Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs☆366Updated 2 months ago
- Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax),…☆333Updated this week
- NOMAD - A blackbox optimization software☆143Updated 2 months ago
- Python-based Derivative-Free Optimizer for Least-Squares☆42Updated last week
- The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN☆72Updated last month
- multi-dimensional adaptive integration (cubature) in C☆138Updated 2 months ago
- ETH course - Solving PDEs in parallel on GPUs I Fall 2025☆133Updated last week
- Trixi.jl: Adaptive high-order numerical simulations of conservation laws in Julia☆632Updated this week
- Finite element toolbox for Julia☆410Updated last week
- Finite Element tools in Julia☆161Updated 6 months ago
- High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)☆308Updated last month
- Start solving PDEs in Julia with Gridap.jl☆137Updated last month
- This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solver…☆121Updated last week