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nonlinear-optimization

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SciML / Optimization.jl

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Star 728

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.

optimization julia automatic-differentiation global-optimization hacktoberfest nonlinear-optimization convex-optimization algorithmic-differentiation mixed-integer-programming scientific-machine-learning derivative-free-optimization sciml local-optimization
  • Updated Nov 19, 2024
  • Julia

libprima / prima

Star 308

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 optimization matlab constrained-optimization numerical-optimization nonlinear-optimization unconstrained-optimization prima powell blackbox-optimization modern-fortran cobyla derivative-free-optimization simulation-based-optimization bobyqa newuoa uobyqa lincoa zeroth-order-method
  • Updated Oct 12, 2024
  • Fortran

cvanaret / Uno

Star 292

A next-gen Lagrange-Newton solver for nonconvex optimization. It unifies barrier and SQP methods in a modern and generic way, and implements different globalization flavors (line search/trust region and merit function/filter method/funnel method). Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.

cpp optimization constrained-optimization gradient-descent optimization-methods numerical-optimization nonlinear-programming-algorithms nonlinear-optimization optimization-algorithms nonlinear-programming quadratic-programming interior-point-method newton-method continuous-optimization sequential-quadratic-programming mathematical-programming mathematical-optimization nonconvex-optimization local-optimization optimization-solver
  • Updated Nov 20, 2024
  • C++

Evolutionary-Intelligence / pypop

Star 210

[JMLR-2024] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants (-> evolutionary algorithms/swarm-based optimizers/pattern search/random search/...). https://jmlr.org/papers/v25/23-0386.html

evolutionary-algorithms global-optimization differential-evolution genetic-algorithms black-box-optimization numerical-optimization nonlinear-optimization random-search optimization-algorithms particle-swarm-optimization evolution-strategies continuous-optimization large-scale-optimization derivative-free-optimization gradient-free-optimization zeroth-order-optimization direct-search population-based-optimization estimation-of-distribution-algorithms consensus-based-optimization
  • Updated Nov 20, 2024
  • Python

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