Optimization functions for Julia

LBFGS-Lite: A header-only L-BFGS unconstrained optimizer.

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.

A collection of Benchmark functions for numerical optimization problems

Powell's Derivative-Free Optimization solvers.

The Constrained and Unconstrained Testing Environment with safe threads (CUTEst) for optimization software

Optimization algorithms by M.J.D. Powell

Solve a max-cut problem using a quantum computer

Unconstrained optimization algorithms in python, line search and trust region methods

This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Networks(PINNs)"

Perform basic image segmentation using discrete quadratic models (DQM) and hybrid solvers.

Optimizers for/and sklearn compatible Machine Learning models

Benchmarking optimization solvers.

Optimization algorithms written in Python and MATLAB

Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani

numerical optimization subroutines in Fortran generated by ChatGPT-4

Powerful and scalable black-box optimization algorithms for Python and C++.

Optimization methods for science and engineering.

CG_DESCENT unconstrained nonlinear optimization algorithm by William W. Hager and Hongchao Zhang in single header library, original code taken from http://users.clas.ufl.edu/hager/papers/Software/

A CUTEst practical installer