Mathematical Programming


Mathematical Programming

Applied Mathematical Programming.

AGEC 641 – Applied Mathematical Programming

GAMS with Excel

GAMS and Excel - Using GDX to Transfer Data

Sets

Sets

MITx: 15.053x Optimization Methods in Business Analytics

MITx: 15.053x Optimization Methods in Business Analytics

MITx: 15.053x Optimization Methods in Business Analytics OpenSolver validation Google Sheets

When the integrality constrains are relaxed, the feasible region gets larger. The optimal objective value won’t get worse. It can stay the same or get better. In this case, the optimal objective value increases or remains the same.

SOLUTION

y≤x1. If x1=0 , then y≤0. y≤x2. If x2=0, then y≤0. y≥x1+x2−1. If x1=x2=1, then y≥1. This enforces y=x1x2, x1,x2∈{0,1}

On choosing the parameter M

Any redundant constraint will be OK.

But, it is often best to choose M minimal:

l choose M so that constraint is redundant

l with any lower value of M, it is not redundant.

Binary Logic

a valid transformation when the objective is to minimize z subject to z=max{2x−4, x−y }

Min {z:z≥2x−4,z≥x−y,z≥y−x}.

Business 36106:

Managerial Decision Modeling

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Linear Progarmming