Efficient modeling interface for mathematical optimization in Python
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Updated
Jun 12, 2024 - C++
Efficient modeling interface for mathematical optimization in Python
Gurobi compilation of RDDL description files to mixed-integer programs, and optimization tools.
Linear optimization software
This repository contains the code examples of the book "Einführung in Optimierungsmodelle" ("Introduction to Optimization Models") (Sudermann-Merx, 2023)
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
Minotaur Toolkit for Mixed-Integer Nonlinear Optimization
Represent trained machine learning models as Pyomo optimization formulations
Dorado observation planning and scheduling simulations
FelooPy: Efficient & Feature-Rich Integrated Decision Environment
Feasibility study on using mixed-integer-linear programming for solving optimal pump scheduling problem in water distribution networks.
AMPL Model Colaboratory
TypeScript optimization SDK
Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
Optimization notebooks
Very crude MPS file reader in Rust
Julia interface to SCIP solver
Nix flake and expressions for tools from the SCIP Optimization Suite.
Python optimization SDK
Optimal Path Planning in the Workspace for Articulated Robots using Mixed Integer Programming (DOI: 10.1109/IROS.2009.5354313)
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