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LP-Based Combinatorial Problem Solving

  • Karla Hoffman
  • Manfred Padberg
Conference paper
Part of the NATO ASI Series book series (volume 15)

Abstract

A tutorial outline of the polyhedral theory that underlies linear-programming (LP)-based combinatorial problem solving is given Design aspects of a combinatorial problem solver are discussed in general terms. Three computational studies in combinatorial problem solving using the polyhedral theory developed in the past fifteen years are surveyed: one addresses the symmetric traveling salesman problem, another the optimal triangulation of input/output matrices and the third the optimization of large-scale zero-one linear programming problems.

Keywords

Travel Salesman Problem Combinatorial Optimization Problem Linear Inequality Hamiltonian Cycle Local Problem Optimizer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1985

Authors and Affiliations

  • Karla Hoffman
    • 1
    • 2
  • Manfred Padberg
    • 3
  1. 1.Center for Applied MathematicsNational Bureau of StandardsGaithersburgUSA
  2. 2.Operations Research DivisionNational Bureau of StandardsGaithersburgUSA
  3. 3.Graduate School of Business AdministrationNew York UniversityNew YorkUSA

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