CU-UQ / DOPT_PCE
Codes related to our paper "Sparse Polynomial Chaos Expansions via D-optimal Designs and Compressed Sensing." https://www.sciencedirect.com/science/article/pii/S0045782518301452?via%3Dihub
☆20Updated 5 years ago
Alternatives and similar repositories for DOPT_PCE:
Users that are interested in DOPT_PCE are comparing it to the libraries listed below
- Randomized Greedy Polynomial Chaos Expansions☆12Updated 5 years ago
- Source code of the paper: Dang C., Xu, J. Unified reliability assessment for problems with low- to high-dimensional random inputs using t…☆10Updated 3 years ago
- Matlab codes for Arbitrary Polynomial Chaos Expansion☆12Updated 4 years ago
- Polynomial Chaos Expansion Toolbox for MATLAB☆35Updated last year
- 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
- time-variant reliability analysis method☆14Updated 5 years ago
- This Matlab package solves the sparsity-constrained optimization problems including compressive sensing, logistic regression, linear com…☆10Updated 4 months ago
- This is a compact code for reliability analysis under uncertainty using a Polynomial Regression Machine Learning approach. The code imple…☆13Updated 5 years ago
- Bayesian Compressive Sensing and Multi-task Compressive Sensing☆87Updated 9 years ago
- Decomposition Based Multi-Objective Particle Swarm Optimization☆26Updated 8 years ago
- # Introduction of DNN-AR-MOEA This repository contains code necessary to reproduce the experiments presented in Evolutionary Optimization…☆25Updated 4 years ago
- an active-learning method for reliability analysis based on multi-fidelity kriging model☆30Updated last year
- Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper "Data augmentation for support vector machines"☆18Updated 10 years ago
- Scalable sparse Bayesian learning for large CS recovery problems☆25Updated 3 years ago
- Nonlinear optimization for MATLAB.☆27Updated 4 years ago
- MIVor: An innovative adaptive Kriging approach for efficient problem classification.☆18Updated 5 years ago
- The MATLAB code below implements the second-order SPSA (simultaneous perturbation stochastic approximation) and second-order SG (stochast…☆11Updated 4 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
- Optimization Problems Toolbox☆13Updated 4 months ago
- A lightweight MATLAB implementation of Bayesian Optimization for Hyperparamter optimization with or without constraints.☆19Updated 7 years ago
- In his project, we proposed a new acquisition function for kriging-based reliability analysis, namely expected uncertainty reduction (EUR…☆11Updated 3 years ago
- A fast Kriging-assisted evolutionary algorithm based on incremental learning☆33Updated 5 months ago
- This is the Matlab code for the paper: "Minimization of transformed L1 penalty: theory, difference of convex function algorithm, and robu…☆12Updated 6 years ago
- Use of Particle Swarm optimization to train Neural netwrok on Matlab / Octave☆15Updated 8 years ago
- Simulations for Paper Sensor Network Event Localization via Non-convex Non-smooth ADMM and Augmented Lagrangian Methods☆19Updated 6 years ago
- This Matlab files are used to demonstrate on how to perform Reliability-based Design Optimization (RBDO) using FERUM. Two approaches are …☆13Updated last year
- A fast sparse Bayesian learning algorithm based on gaussian scale mixture model for regression problem☆35Updated 2 years ago
- Simple Bayesian optimization in MATLAB, with interface to interact with simulations in ANSYS.☆17Updated last year
- Whale Optimization Algorithm used to train Neural Network☆19Updated 8 years ago
- Source codes for Probability-Adaptive Kriging in n-Ball (PAK-Bn) (Kim & Song, 2020)☆9Updated 2 weeks ago