mathematical-optimization

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

OptaPlanner quick starts for AI optimization: many use cases shown in many different technologies.

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

Insert trained predictors in Gurobi models

Distances to sets for MathOptInterface

Fortran bindings for the NLopt library

Pure Python solver for the multi-way partition problem

Implementation of different techniques to solve the Set Covering Problem (SCP).

A simple implementation of the Benders decomposition method with JuMP

C++ Optimization Library

STELA algorithm for sparsity regularized linear regression (LASSO)

An open source python project for a better overview of the ETF market, to experiment with a different asset allocation algorithms and to backtest investment strategies.

This is a repo for graduate computational statistics problem sets and class information/data.

NLPModel where all functions are defined by the user

Libraries for reading/writing MIP problem files, invoking external MIP solvers, etc. in Haskell

GSK algorithm

Corso "Optimization and Algorithms for Data Science" @UniPv

A collection of mathematical optimization algorithms implemented in Julia

Optimize both discrete and continuous variables using just a continuous optimizer such as in scipy.optimize