Mixed-Integer Linear Programming in MATLAB - MATLAB
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    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 Release 2017b. This new approach greatly simplifies setting up and running your linear programming (LP) or mixed-integer linear programing (MILP) problems. These problems are commonly encountered in finance, energy, logistics, supply chain and operations research. 

    Specific topics in this webinar include:  
    - Introduction to LP and MILP problems and algorithms  
    - Setting up and solving LP and MILP problems  
    - Tuning the solver for your application  
    - Using LP and MILP in deployed applications 

    Mary Fenelon is product marketing manager for the MATLAB optimization products.  Prior to joining MathWorks, Mary worked as a developer and development manager for optimization software. She earned a PhD in Operations Research at Stanford University. 

    Recorded: 16 Nov 2017

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