libprima / prima
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…
☆334Updated 3 months ago
Alternatives and similar repositories for prima:
Users that are interested in prima are comparing it to the libraries listed below
- A derivative-free solver for general nonlinear optimization.☆47Updated this week
- A library of modern Fortran modules for nonlinear optimization☆135Updated last week
- The Constrained and Unconstrained Testing Environment with safe threads (CUTEst) for optimization software☆98Updated 3 months ago
- Modern Fortran Edition of the SLSQP Optimizer☆94Updated last week
- Modernized Minpack: for solving nonlinear equations and nonlinear least squares problems☆99Updated 8 months ago
- Powell's Derivative-Free Optimization solvers.☆100Updated this week
- A Julia Basket of Hand-Picked Krylov Methods☆382Updated last week
- Surrogate modeling and optimization for scientific machine learning (SciML)☆341Updated this week
- GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem☆294Updated 2 weeks ago
- Iterative algorithms for solving linear systems, eigensystems, and singular value problems☆412Updated 3 months ago
- Survey of the packages of the Julia ecosystem for solving partial differential equations☆272Updated last month
- Python interface to CUTEst☆29Updated 3 months ago
- Julia package for function approximation☆549Updated last month
- Finite element toolbox for Julia☆364Updated this week
- Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.☆194Updated this week
- A collection of Optimization Problems in Matlab☆14Updated 6 months ago
- Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid☆172Updated 3 weeks ago
- A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, …☆342Updated this week
- Official development repository for SUNDIALS - a SUite of Nonlinear and DIfferential/ALgebraic equation Solvers. Pull requests are welcom…☆559Updated last week
- Julia package for Gaussian quadrature☆311Updated last year
- Grid-based approximation of partial differential equations in Julia☆742Updated this week
- Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs☆333Updated 3 months ago
- A next-gen Lagrange-Newton (SQP + barrier) solver for nonconvex constrained optimization☆318Updated this week
- Start solving PDEs in Julia with Gridap.jl☆130Updated this week
- Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax),…☆323Updated last month
- Finite Element tools in Julia☆154Updated last month
- GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆252Updated 2 years ago
- Fixed and variable-step Runge-Kutta solvers in Modern Fortran☆79Updated 2 weeks ago
- Line search methods for optimization and root-finding☆129Updated 4 months ago
- Sparse Parallel Robust Algorithms Library☆116Updated this week