Stanford University's Primal-Dual Interior Point Method Software Package
Stanford University's Primal-Dual Interior Point Method Software Package - An Authoritative Implementation for Linear Programming!
Stanford University Wavelet Toolbox
Stanford University Wavelet Toolbox offers more comprehensive functionality compared to MATLAB's built-in wavelet toolbox, featuring enhanced signal processing capabilities and expanded algorithmic options
Latest MATLAB Convex Optimization Toolbox by Stanford University
Windows version of the newest convex optimization MATLAB toolbox developed by Professors Grant and Boyd from Stanford University
MATLAB Implementation of Recommendation System with Machine Learning
MATLAB-based recommendation system integrating machine learning approaches, originally developed by Stanford University's Andrew Ng. Features collaborative filtering algorithms and optimization techniques for personalized recommendations.
Source Code for UWB Signal Capture Program from Professor Scholze's Laboratory at Stanford University
Source code for the ultra-wideband (UWB) signal capture program developed by Professor Scholze's research laboratory at Stanford University, featuring advanced signal processing algorithms and modular implementation.
UWB Channel Modeling Program Source Code from Stanford University Professor Scholze's Laboratory
Complete source code implementation of ultra-wideband channel modeling program developed by Professor Scholze's research team at Stanford University
Stanford University Primal-Dual Interior Point Method Software Package
Stanford University Primal-Dual Interior Point Method Software Package for Large-Scale Convex Optimization
Latest MATLAB Toolbox for Convex Optimization
Advanced MATLAB Toolbox for Convex Optimization with Enhanced Numerical Computing Capabilities