Mixed Integer Linear Programming Optimization in Python with CPLEX Part 3











>> YOUR LINK HERE: ___ http://youtube.com/watch?v=RS33WihDLQc

In this video, we introduce Mixed Integer Linear Programming (MILP) and show how to implement it in Python by using docplex. • This video series introduces several Mathematical Optimization Problems and shows how to solve them in Python via docplex package (Python interface to CPLEX). • ❔Answers to • ↪︎ What is Integer Programming? • ↪︎ How can I code a Mixed Integer Linear Program using docplex package? • ↪︎ How can add constraints using docplex package? • ↪︎ How can solve a Mixed Integer Linear Program using docplex package? • ⌚ Content: • ↪︎ 0:00 - Intro • ↪︎ 0:32 - Mixed Integer Linear Program (MILP) • ↪︎ 1:55 - The standard form • ↪︎ 2:42 - The example model • ↪︎ 3:17 - Implementation of the model • ↪︎ 3:42 - Adding decision variables • ↪︎ 4:20 - Adding constraints • ↪︎ 5:39 - Solving the linear model • 🌎 Follow Coding Perspective: • ↪︎ Twitter →   / codingperspect   • ↪︎ Instagram →   / codingperspective   • 🎥 Video series: • ↪︎ Dynamic Programming Algorithms in Python → http://bit.ly/3tFZtXe • ↪︎ Mathematical Optimization → http://bit.ly/36YlMgO • ↪︎ Programming in R → http://bit.ly/30W7Rop • ↪︎ LaTeX Tutorials → http://bit.ly/2Syj4uq • ↪︎ Machine Learning 101 → https://bit.ly/341d8Qe

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