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A MATLAB toolbox for exporting publication quality figures
A Library of ADMM for Sparse and Low-rank Optimization
Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 75 built-in examples, including multiple options for fiber-structure models and adve…
Hidden physics models: Machine learning of nonlinear partial differential equations
SINDy-PI: A Robust Algorithm for Parallel Implicit Sparse Identification of Nonlinear Dynamics
MATLAB codes for physics-informed dynamic mode decomposition (piDMD)
A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control
Codes related to answers on StackExchange Network.
This repository provides MATLAB code for the lid-driven cavity flow where incompressible Navier Stokes equation is numerically solved using a simple 2nd order finite difference scheme on a staggere…
Collection of codes in Matlab(R) and C++ for solving basic problems presented and discussed in the "Computational Fluid Dynamics of Reactive Flows" course (Politecnico di Milano)
Matlab/Python code for the ADMM part of my thesis ''Alternating Optimization: Constrained Problems, Adversarial Networks, and Robust Models''
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
redbKIT is a MATLAB library for reduced-order modeling of parametrized PDEs
This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
This is the code and data for the IEEE TPEL paper "Parameter Estimation of Power Electronic Converters with Physics-informed Machine Learning"
MATLAB implementation of the paper "Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries"
Gang transform（CR-PNN）:Renamed "DD".New ArXiv and code: https://github.com/liugang1234567/Gang-neuron. B站视频讲解：https://www.bilibili.com/video/BV1zp4y1971R/
A Survey on Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
Data-driven reduced order modeling for nonlinear dynamical systems
MatLab implementation of W-QEISS, F-QEISS and W-MOSS: three algorithms for the selection of (quasi) equally informative subsets
implicit-SINDy code example from paper "Inferring Biological Networks by Sparse Identification fo Nonlinear Dynamics" https://ieeexplore.ieee.org/abstract/document/7809160/
POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for Fluid Dynamics under supervision of Professor Miguel A. Mendez.
A fast sparse Bayesian learning algorithm based on gaussian scale mixture model for regression problem