Learn how to formulate and solve linear programming problems with integer or binary variables using branch and bound and cutting planes methods.

Learn how to use linear programming (LP) to optimize your planning decisions in manufacturing, logistics, or healthcare. Find out how to formulate, solve, and analyze LP problems.

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

To address the lack of rapid and economical methods for assessing the power substitution potential of enterprises and industrial parks under the dual-carbon goals, this study employs a mixed-integer ...

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...