Google's Operations Research tools:
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
An object-oriented algebraic modeling language in Python for structured optimization problems.
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, ...
#区块链#A cryptocurrency arbitrage framework implemented with ccxt and cplex. It can be used to monitor multiple exchanges, find a multi-lateral arbitrage path which maximizes rate of return, calculate the op...
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
#算法刷题#An incremental linear constraint-solving algorithm (Auto Layout) in Swift.
#Awesome#A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
The Advanced Proximal Optimization Toolbox
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
Simple OOP javaScript library to solve linear programs, and mixed integer linear programs
#计算机科学#《线性代数及其应用》笔记
NVIDIA cuOpt examples for decision optimization
Linear Programming for Rust, with a user-friendly API. This crate allows modeling LP problems, and lets you solve them with various solvers.
A Rust implementation of the Cassowary constraint solving algorithm
Pyomo respository provides a comprehensive library of solved models in Supply chain management