Discuss integer linear programming. Give an example of each of a pure and d integer linear programming problem.
Integer Linear Programming (ILP) is a mathematical optimization technique that extends linear programming (LP) by requiring some or all of the decision variables to be integers. ILP is widely used in operations research to solve problems involving discrete decisions, such as scheduling, facility location, and resource allocation.
### Types of Integer Linear Programming
1. Pure Integer Linear Programming (PILP): In this case, all decision variables must be integers.
2. Mixed Integer Linear Programming (MILP): Some decision variables are restricted to integer values, while others can take continuous values.
ILP problems are formulated using a linear objective function and a set of linear constraints. However, unlike LP, ILP _____ ___ __________ __________ ___ _____ _________ _________ _____.
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