Linear and Mixed-Integer Linear Programming in MATLAB

These files accompany the webinar.
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Updated 4 Dec 2020

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Learn how to use the new problem-based approach for specifying and solving linear and mixed-integer linear optimization problems in R2017b. This new approach greatly simplifies setting up and running your linear programming (LP) or mixed-integer linear programming (MILP) problems. These problems are commonly encountered in finance, energy, logistics, supply chain and operations research.
View the webinar at https://www.mathworks.com/videos/mixed-integer-linear-programming-in-matlab-91541.html

Cite As

Mary Fenelon (2024). Linear and Mixed-Integer Linear Programming in MATLAB (https://www.mathworks.com/matlabcentral/fileexchange/65158-linear-and-mixed-integer-linear-programming-in-matlab), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2017b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.1.0

Use the name-value pair syntax for specifying options in the solve function. The positional syntax has been removed.

1.0.0.0

Added link to video