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Showing results
Jupyter Notebook 1 1 Updated Jan 12, 2024

PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., C…

Fortran 370 47 Updated Oct 17, 2025

Quadrature-based convolutions for deep learning on unstructured and non-uniform mesh data.

Python 7 2 Updated Mar 7, 2024

APPM 4490 final project code.

Jupyter Notebook 1 Updated Apr 26, 2022

Accelerated Bregman Proximal Gradient Methods

Jupyter Notebook 26 11 Updated Jun 12, 2023

research on fast matrix multiplication algorithm

C 1 Updated Dec 11, 2020

Example code for Safe Feature Elimination for Non-Negativity Constrained Convex Optimization

MATLAB 1 Updated Oct 7, 2019

Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"

MATLAB 25 10 Updated Mar 20, 2023

MATLAB extension for optimized Walsh-Hadamard transform

C 4 1 Updated Feb 13, 2019

Python version of zeroSR1

Python 2 Updated Mar 18, 2015

L-BFGS-B, converted from Fortran to C, with Matlab wrapper

C 116 58 Updated Jul 20, 2024

Proximal algorithms made easy in Python

Python 59 9 Updated Feb 7, 2017

SeDuMi: A linear/quadratic/semidefinite solver for Matlab and Octave

C 256 93 Updated Apr 13, 2024

A MATLAB toolbox for building first-order solvers for convex models.

MATLAB 142 59 Updated May 27, 2022