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hiroyuki-kasai / NMFLibrary

Star 295

NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1

matrix-factorization constrained-optimization data-analysis robust-optimization gradient-descent matlab-toolbox clustering-algorithm optimization-algorithms nmf online-learning stochastic-optimizers nonnegativity-constraints orthogonal divergence probabilistic-matrix-factorization nonnegative-matrix-factorization sparse-representations
  • Updated Feb 24, 2023
  • MATLAB

hiroyuki-kasai / SGDLibrary

Star 213

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

machine-learning big-data optimization matlab linear-regression machine-learning-algorithms sgd classification logistic-regression gradient optimization-algorithms online-learning gradient-descent-algorithm variance-reduction stochastic-gradient-descent newtons-method stochastic-optimization-algorithms quasi-newton softmax-classification svrg
  • Updated May 11, 2023
  • MATLAB

clarkzinzow / Nonlinear-Optimization-Algorithms

Star 153

MATLAB implementations of a variety of nonlinear programming algorithms.

algorithm newton optimization matlab nonlinear line-search conjugate-gradient nonlinear-programming-algorithms nonlinear-optimization optimization-algorithms nonlinear-programming conjugate-gradient-descent wolfe newtons-method bfgs nonlinear-optimization-algorithms matlab-implementations dogleg-method gauss-newton-method
  • Updated Nov 13, 2020
  • MATLAB

hiroyuki-kasai / RSOpt

Star 61

Riemannian stochastic optimization algorithms: Version 1.0.3

machine-learning big-data optimization machine-learning-algorithms constrained-optimization sgd manifold nonlinear-optimization optimization-algorithms large-scale-learning online-learning stochastic-optimizers variance-reduction stochastic-gradient-descent nonlinear-optimization-algorithms stochastic-optimization riemannian-manifold riemannian-optimization non-convex-optimization
  • Updated Jan 5, 2023
  • MATLAB

hiroyuki-kasai / SparseGDLibrary

Star 52

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

machine-learning big-data algorithms optimization machine-learning-algorithms solver lasso logistic-regression gradient-descent support-vector-machines admm proximal-algorithms proximal-operators sparse-regression optimization-algorithms matrix-completion elasticnet lasso-regression coordinate-descent sparse-linear-solver
  • Updated Nov 20, 2018
  • MATLAB

PerformanceEstimation / Performance-Estimation-Toolbox

Star 51

Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.

optimization matlab semidefinite-programming optimization-algorithms worst-case-analyses first-order-methods performance-estimation-problems
  • Updated Feb 20, 2024
  • MATLAB
Harris-Hawks-Optimization-Algorithm-and-Applications

aliasgharheidaricom / Harris-Hawks-Optimization-Algorithm-and-Applications

Star 46

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

computer-science engineering optimization modeling artificial-intelligence evolutionary-algorithms evolutionary-computation optimization-algorithms evolutionary-strategy computational-intelligence metaheuristics swarm-intelligence algorithms-and-data-structures
  • Updated Jun 16, 2022
  • MATLAB

alimirjalili / GWO

Star 33

The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, three main steps of hunting, searching for prey, encircling prey, and attacking prey, are implemented to perform optim…

engineering algorithms optimization genetic-algorithm heuristics engineering-optimisation optimization-algorithms particle-swarm-optimization optimisation heuristic-search-algorithms gwo grey-wolf-optimizer seyedali-mirjalili
  • Updated Aug 19, 2020
  • MATLAB

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