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

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

Powell's Derivative-Free Optimization solvers.

Split a network into two groups, maximizing the number of cut edges.

Optimization algorithms by M.J.D. Powell

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

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

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

Optimizers for/and sklearn compatible Machine Learning models

Benchmarking optimization solvers.

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

Optimization algorithms written in Python and MATLAB

Optimization course assignments under the supervision of Dr. Maryam Amirmazlaghani

Optimization methods for science and engineering.

numerical optimization subroutines in Fortran generated by ChatGPT-4

A CUTEst practical installer

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/

Implementation of collection of test functions for UO(Unconstrained Optimization)

An optimization solver for unconstrained differentiable problems

rosenbrock function optimization with four different methods (unconstrained optimization)

Classification of Alan Miller's Fortran codes for statistics and numerical methods and copies of them

No description provided.

Implementation of numerical optimization algorithms in MATLAB, including derivative-free and gradient-based methods for unconstrained problems, and projection techniques for constrained optimization.

A set of Jupyter notebooks that investigate and compare the performance of several numerical optimization techniques, both unconstrained (univariate search, Powell's method and Gradient Descent (fixed step and optimal step)) and constrained (Exterior Penalty method).

A repository of optimization algorithms implemented in Python & MATLAB for mathematical optimization problems. Algorithms such as Genetic Algorithm, PSO, linear programming, and etc.

optimization techniques for data mining

Some numerical optimization method in Python