Mixed-integer programs (MIPs) involving logical implications modeled through big-M coefficients are notoriously among the hardest to solve. In this paper, we propose and analyze computationally an ...

R. C. Daniel, Martyn Jeffreys, Unboundedness in Integer and Discrete Programming L.P. Relaxations, The Journal of the Operational Research Society, Vol. 30, No. 12 ...

Roughly, we will cover the following topics (some of them may be skipped depending on the time available). Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear ...

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

Preface Introduction to Operations Research Linear Programming Modeling Integer and Combinatorial Models Real-World Operations Research Applications: An Introduction Introduction to Algorithm ...