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Integer programming offers several advantages, including the ability to model complex problems with discrete decision variables, which is useful for applications like scheduling and resource allocation. It guarantees optimal solutions under certain conditions, making it reliable for critical decision-making tasks. However, its disadvantages include computational complexity, as solving integer programming problems can be much harder than linear programming, leading to longer solving times. Additionally, the requirement for variables to take on integer values may limit the solution space and make it less flexible in some scenarios.
A logical process. There are different methods for solving different problems and the only thing that they have in common is they all require logical progression.
I love solving logic problems and puzzles.
It's a guide in solving percentage problems.