Efficient modeling interface for mathematical optimization in Python
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Updated
Jun 8, 2024 - C++
Efficient modeling interface for mathematical optimization in Python
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
Dorado observation planning and scheduling simulations
FelooPy: Efficient & Feature-Rich Integrated Decision Environment
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Gurobi compilation of RDDL description files to mixed-integer programs, and optimization tools.
Feasibility study on using mixed-integer-linear programming for solving optimal pump scheduling problem in water distribution networks.
Linear optimization software
AMPL Model Colaboratory
TypeScript optimization SDK
Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs
This repository contains the code examples of the book "Einführung in Optimierungsmodelle" ("Introduction to Optimization Models") (Sudermann-Merx, 2023)
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)
Importance Sampling and Linear Programming based Enumerating and Weighing of Trapping sets in LDPC codes, ISING models and related DNN Arch( Transformer, RBM, BM, SPN und etc),
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