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
Mary Fenelon (2020). 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 .
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