Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
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Updated
May 28, 2024 - Julia
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Some Data Science examples using Groovy
Python optimization SDK
Developed predictive model to forecast flight delays, clustered airports to enhance efficiency, and used Dijkstra’s algorithm for shortest flight paths, leading to fuel savings. Optimized intra-state connectivity with Kruskal's algorithm and created a linear programming model that minimized delay penalties.
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
An object-oriented algebraic modeling language in Python for structured optimization problems.
A collection of optimization puzzles and problems solved using mostly mixed integer programming.
TypeScript optimization SDK
Linear programming solvers in Python with a unified API
General-Valued Constraint Satisfaction Problems — playground for experiments preceding my contribution to Mathlib
Pyomo respository provides a comprehensive library of solved models in Supply chain management
The Advanced Proximal Optimization Toolbox
Material for model of batch cultivation of yeast and exploring constraint-based view of metabolism and growth.
An Proximal Interior Point Quadratic Programming solver
emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.
FelooPy: Efficient & Feature-Rich Integrated Decision Environment
This project provides (UI) like tool, for see what is linear programming.
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
Just for fun
A Julia interface to the Gurobi Optimizer
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