A Comprehensive Guide to Modeling Techniques in Mixed-Integer Linear Programming

Convert ideas into mathematical expressions to solve operations research problems

Numerical optimization is at the core of quantitative techniques in decision science. It encompasses a set of frameworks to optimize one or more objectives under some prescribed set of circumstances.

Two major categories of optimization problems are Linear and Nonlinear Programming. These categories are distinguished by how the mathematical relationships between the decision variables are established in the objective(s) and constraints. Management sciences …

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