markomil / vilin-numerical-optimization
Application and framework for executing and testing numerical optimization methods. State of the art algorithms such as l-bfgs, cg_descent, Levenberg-Marquardt etc. A various line search methods: Wolfe, strong Wolfe, More-Thuente, approx-Wolfe. Useful and user friendly gui
☆39Updated 5 years ago
Alternatives and similar repositories for vilin-numerical-optimization:
Users that are interested in vilin-numerical-optimization are comparing it to the libraries listed below
- Matlab implementation of the Adam stochastic gradient descent optimisation algorithm☆56Updated 8 years ago
- MATLAB implementations of a variety of nonlinear programming algorithms.☆167Updated 4 years ago
- ☆30Updated last year
- Codes related to our paper "Sparse Polynomial Chaos Expansions via D-optimal Designs and Compressed Sensing." https://www.sciencedirect.…☆20Updated 5 years ago
- Proximal gradient algorithm for convex optimization, using a diagonal +/- rank-1 norm☆20Updated 3 months ago
- Polynomial Chaos Expansion Toolbox for MATLAB☆34Updated last year
- Matlab code for the Limited-memory BFGS (Broyden–Fletcher–Goldfarb–Shanno) algorithm☆31Updated 8 years ago
- In this repository, all the Matlab codes, used for developing my Master Thesis: "Polynomial Chaos Theory: Application to the stability of…☆14Updated 6 years ago
- Matlab library for gradient descent algorithms: Version 1.0.1☆68Updated 6 years ago
- MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3☆53Updated 6 years ago
- Fractional Order Numerical Methods☆12Updated 5 years ago
- Globally Convergent Type-I Anderson Acceleration for Non-Smooth Fixed-Point Iterations☆20Updated 6 years ago
- This includes codes for Alternating Direction Method of Multipliers (ADMM) on several interesting applications, such as Lq basis pursuit,…☆19Updated 9 years ago
- Bayesian System IDentification☆28Updated 7 years ago
- The MATLAB code below implements the second-order SPSA (simultaneous perturbation stochastic approximation) and second-order SG (stochast…☆11Updated 4 years ago
- Magnetic resonance imaging (MRI) images are known to be sparse. This is an implementation using non-convex penalty function that encourag…☆19Updated 5 years ago
- A pure Matlab implementation of L-BFGS-B (LBFGSB)☆60Updated 6 months ago
- Randomized Greedy Polynomial Chaos Expansions☆12Updated 5 years ago
- Compressive dynamic mode decomposition with control for compressive system identification☆39Updated 7 years ago
- Adaptive Regularized Newton Method for Riemannian Optimization☆30Updated 5 years ago
- A comparison between two methods of the nonlinear optimization: Sequential Quadratic Programming and Semismooth Newton☆34Updated 9 years ago
- An implementation of "ADMMBO, An ADMM Framework for Bayesian Optimization with Unknown Constraints''☆22Updated 5 years ago
- SON-EM - Algorithm for parameter estimation of hybrid time-varying parameter systems using Sum of Norms regularization and Expectation Ma…☆10Updated 7 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆72Updated 7 years ago
- This repository provides a Matlab implementation of the ADMM-based solvers for L1-L1 and L1-L2 minimization.☆18Updated 6 years ago
- Non-convex optimization using proximal methods☆14Updated 7 years ago
- Koopman Mode Decomposition☆71Updated 7 years ago
- SuiteLasso: a MATLAB suite for regression problems with generalized Lasso regularizers☆20Updated 3 years ago
- MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MA…☆91Updated 2 years ago
- An open-source MATLAB® ADMM solver for partially decomposable conic optimization programs.☆63Updated 5 years ago