Create divide and conquer, dynamic programming, and greedy algorithms. Understand intractable problems, P vs NP and the use of integer programming solvers to tackle some of these problems.

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

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MG4C6.2 Mathematical Programming: Introduction to theory and the solution of linear and nonlinear programming problems: basic solutions and the simplex method, convex programming and KKT conditions, ...

They will learn the foundations of integer and combinatorial optimization, and apply polyhedral theory to design effective algorithms to solve large-scale integer programs in practice.

A unifying framework is developed to facilitate the understanding of most known computational approaches to integer programming. A number of currently operational algorithms are related to this ...

The algorithm constructs, in a finite number of operations, an optimal solution to an integer program with n variables and n or n+1 inequality constraints. If the original problem has more than n+1 ...

Description: An advanced course on theory and algorithms for integer and mixed integer optimization problems. Convergence of integer programming algorithms, dual relaxations, Benders decomposition, ...

After graduating from Purdue, Zoltners studied integer-programming algorithms and earned a doctoral degree from Carnegie Mellon University in 1973. In 1983 co-founded ZS Associates. Today ZS ...