nonconvex-optimization
Optimization toolkit
A Matlab toolbox providing a generic solver for proximal gradient descent in convex and non-convex optimization problems with various regularization terms.
Matlab/Octave toolbox for nonconvex optimization
49 stars
4 watching
24 forks
Language: Matlab
last commit: over 8 years ago
Linked from 1 awesome list
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
 epfl-lts2/unlocbox | A toolbox for convex optimization problems using proximal splitting methods | 52 |
 uts-ri/matlab-graph-optimization | A Matlab-based optimization framework for nonlinear least squares problems | 68 |
 cvxr/tfocs | A toolbox for building efficient first-order solvers for convex optimization problems | 136 |
 yalmip/yalmip | A MATLAB toolbox for creating and solving optimization models | 492 |
 hiroyuki-kasai/gdlibrary | A collection of unconstrained optimization algorithms implemented in MATLAB | 65 |
 nrel/dynamo | A toolkit for using dynamic programming in optimization tasks with adaptive modeling. | 46 |
 ethz-pes/multi_objective_optimization_matlab | A MATLAB toolset for multi-objective optimization using genetic algorithms and other methods. | 51 |
 alphaville/optimization-engine | A solver for nonconvex optimization problems in embedded systems and robotics | 514 |
 nicolasboumal/manopt | A Matlab toolbox for optimizing functions on geometric spaces defined by constraints or regularization terms | 314 |
| hiroyuki-kasai/sparsegdlibrary | A collection of unconstrained optimization algorithms for sparse modeling in MATLAB | 53 |
 cvxopt/cvxopt | A Python software suite for solving convex optimization problems | 988 |
| cvxr/cvx | A MATLAB-based system for solving convex optimization problems | 236 |
 mlpack/ensmallen | A high-quality C++ library for non-linear numerical optimization | 743 |
 non-contradiction/convexjlr | An R package for using the Julia Convex.jl package for Disciplined Convex Programming (DCP) optimization. | 14 |
 acerbilab/bads | An optimization algorithm designed to fit computational models in the absence of gradient information or noisy objective functions. | 246 |