Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
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Updated
Mar 20, 2023 - Julia
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
An object-oriented algebraic modeling language in Python for structured optimization problems.
An incremental linear constraint-solving algorithm (Auto Layout) in Swift.
Splitting Conic Solver
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
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 optimal trading amount for each pair in the path given flexible constraints, and execute trades with multi-threading implemenation.
Curso de Álgebra Lineal
Simple OOP javaScript library to solve linear programs, and mixed integer linear programs
A Rust implementation of the Cassowary constraint solving algorithm
R package to model Mixed Integer Linear Programs
《线性代数及其应用》笔记
General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python
The Advanced Proximal Optimization Toolbox
A JavaScript library to allocate and optimize financial portfolios.
A linear optimisation model for distributed energy systems
A 2D/3D visualization of the Traveling Salesman Problem main heuristics
Interior-point solver in pure Julia
Optimus is a mathematical programming library for Scala.
Linear Programming for Rust, with an user-friendly API. This crate allows modeling LP problems, and let's you solve them with various solvers.
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