xiao-li-hub / Riemannian-subgradient-methods
This package implements Riemannian subgradient methods for solving nonsmooth optimization problems over Stiefel manifold
☆10Updated 4 years ago
Alternatives and similar repositories for Riemannian-subgradient-methods:
Users that are interested in Riemannian-subgradient-methods are comparing it to the libraries listed below
- MATLAB implementation of ManPG☆12Updated 2 years ago
- ☆23Updated last year
- A feasible method for optimization with orthogonality constraints☆38Updated 3 years ago
- SuiteLasso: a MATLAB suite for regression problems with generalized Lasso regularizers☆17Updated 3 years ago
- Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation☆14Updated 3 years ago
- Riemannian optimization on the symplectic Stiefel manifold☆12Updated 2 years ago
- Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery☆10Updated 3 months ago
- Adaptive Regularized Newton Method for Riemannian Optimization☆29Updated 5 years ago
- MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3☆53Updated 6 years ago
- tensor-train tensor completion (T3C), which is based on tt decomposition and gradient descent.☆11Updated 6 years ago
- This Matlab package solves the sparsity-constrained optimization problems including compressive sensing, logistic regression, linear com…☆10Updated last year
- Matlab/Octave toolbox for nonconvex optimization☆49Updated 8 years ago
- The source codes for the paper "Fast l1-l2 minimization via a proximal operator”☆24Updated 4 years ago
- Accelerated Alternating Projections for Robust Principal Component Analysis☆20Updated 2 years ago
- MATLAB MEX implementation of SVRG-SBB algorithms☆12Updated 7 years ago
- A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning☆37Updated 4 years ago
- The code for the paper <Simple algorithms for optimization on Riemannian manifolds with extra constraints>☆18Updated 5 years ago
- This repository provides a Matlab implementation of the ADMM-based solvers for L1-L1 and L1-L2 minimization.☆16Updated 6 years ago
- Matlab code for Low rank Matrix Factorization with AMP☆14Updated 9 years ago
- This includes codes for Alternating Direction Method of Multipliers (ADMM) on several interesting applications, such as Lq basis pursuit,…☆19Updated 8 years ago
- Source codes for paper "Faster FISTA" and "Improving FISTA: Faster, Smarter and Greedier''☆37Updated 2 years ago
- Companion codes for the paper "Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems", accepted by IEEE TAC☆11Updated 7 years ago
- Application and framework for executing and testing numerical optimization methods. State of the art algorithms such as l-bfgs, cg_descen…☆37Updated 4 years ago
- MATLAB library for working with alpha stable distributions☆26Updated 10 years ago
- Nonlinear optimization for MATLAB.☆27Updated 4 years ago
- Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation☆26Updated 3 years ago
- A lightweight accelerated proximal-gradient package for matlab☆32Updated 8 years ago
- 张量分解算法整理☆60Updated 8 years ago
- Codes related to our paper "Sparse Polynomial Chaos Expansions via D-optimal Designs and Compressed Sensing." https://www.sciencedirect.…☆19Updated 5 years ago
- ☆11Updated last year