shuvomoy Goto Github PK

15.s08-energy-systems-optimization-codes

15.s60_2022

accelerationmonograph

admm-neuralnetworks

Training Neural Networks Without Gradients: A ADMM Approach

ahkeymacs

An AutoHotkey script that allows you to use Emacs-like key bindings on Windows environment

blog

Blogs. Work in progress.

blogs

bnb-pep-code

cvx.jl

A julia package for disciplined convex programming.

franklintheorems.jl

Theorems Environment for Franklin.jl

genx

GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu

gurobi.jl

Julia interface for Gurobi Optimizer

julialang.github.com

Julia Project web site

juliaopt-notebooks

A collection of IJulia notebooks related to optimization

jump.jl

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

latexsubstitutionsplist

Replace LaTeX math escape strings with unicode characters in MacOS by building LaText Subsitutions.plist

learning-performance-estimation

This repository regroups learning ressources about performance estimation problems

mathlink.jl

Julia language interface for Mathematica/Wolfram Engine

mit_iap_2022_15_s60_advanced_optimization_session_shuvo

mit_iap_2023_15_s60_advanced_optimization_session_shuvo

mixedprojectionsoftware

Code accompanying the Mixed-Projection Conic Optimization paper by Bertsimas, Cory-Wright and Pauphilet

mosektools.jl

MosekTools is the MathOptInterface.jl implementation for the MOSEK solver

nc-drs_nc-admm_comparison

ncg-pep-code

ncvx

neptune.jl

Simple (Pluto-based) non-reactive notebooks for Julia

nexos.jl

Nonconvex Exterior Point Operator Splitting

nexos_numerical_experiments_datasets

Datasets for the paper "Exterior-point Optimization for Nonconvex Learning"

optimal-gradient-method

potential-functions-for-first-order-methods

Codes associated to the work "Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions"