Linear and Mixed-Integer Linear Programming in MATLAB
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
Citation pour cette source
Mary Fenelon (2025). 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. Extrait(e) le .
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- MATLAB > App Building > Develop Apps Using App Designer >
- Sciences > Agriculture >
- Engineering > Industrial Engineering > Logistics and Supply Chain >
- Engineering > Industrial Engineering > Operations Research >
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Version | Publié le | Notes de version | |
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1.0.1.0 | Use the name-value pair syntax for specifying options in the solve function. The positional syntax has been removed. |
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1.0.0.0 | Added link to video |