An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with derivative-free-optimization

A curated list of projects in awesome lists tagged with derivative-free-optimization .

https://github.com/sciml/optimization.jl

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

algorithmic-differentiation automatic-differentiation convex-optimization derivative-free-optimization global-optimization hacktoberfest julia local-optimization mixed-integer-programming nonlinear-optimization optimization scientific-machine-learning sciml

Last synced: 11 Apr 2025

https://github.com/SciML/GalacticOptim.jl

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

algorithmic-differentiation automatic-differentiation convex-optimization derivative-free-optimization global-optimization hacktoberfest julia local-optimization mixed-integer-programming nonlinear-optimization optimization scientific-machine-learning sciml

Last synced: 23 Mar 2025

https://github.com/SciML/Optimization.jl

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

algorithmic-differentiation automatic-differentiation convex-optimization derivative-free-optimization global-optimization hacktoberfest julia local-optimization mixed-integer-programming nonlinear-optimization optimization scientific-machine-learning sciml

Last synced: 13 Nov 2024

https://github.com/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 Powell.

blackbox-optimization bobyqa cobyla constrained-optimization derivative-free-optimization lincoa matlab modern-fortran newuoa nonlinear-optimization numerical-optimization optimization powell prima python simulation-based-optimization unconstrained-optimization uobyqa zeroth-order-method

Last synced: 08 Apr 2025

https://github.com/simpleart/spsa

A simple implementation of SPSA with automatic learning rate tuning

derivative-free-optimization gradient-descent numerical-methods optimization stochastic-optimization

Last synced: 14 Apr 2025

https://github.com/jbrea/cmaevolutionstrategy.jl

A julia implementation of the CMA Evolution Strategy for derivative-free optimization of potentially non-linear, non-convex or noisy functions over continuous domains.

blackbox-optimization cma-es derivative-free derivative-free-optimization evolutionary-algorithm evolutionary-strategy optimization stochastic-optimization

Last synced: 01 Mar 2025

https://github.com/jbrea/CMAEvolutionStrategy.jl

A julia implementation of the CMA Evolution Strategy for derivative-free optimization of potentially non-linear, non-convex or noisy functions over continuous domains.

blackbox-optimization cma-es derivative-free derivative-free-optimization evolutionary-algorithm evolutionary-strategy optimization stochastic-optimization

Last synced: 13 Nov 2024

https://github.com/simpleart/pyroot

Python library for root-finding in one dimension

derivative-free-optimization numerical-methods optimization python root-finding

Last synced: 14 Apr 2025