Edmonds Polyhedra and Weakly Hamiltonian Graphs.

Abstract

Jack Edmonds developed a new way of looking at extremal combinatorial problems and applied his technique with a great success to the problems of the maximal-weight degree-constrained subgraphs. Professor C. St. J. A. Nash-Williams suggested to use Edmonds' approach in the context of hamiltonian graphs. In the present paper, the author determines a new set of inequalities (the comb inequalities) which are satisfied by the characteristic functions of hamiltonian circuits but are not explicit in the straightforward integer programming formulation. A direct application of the linear programming duality theorem then leads to a new necessary condition for the existence of hamiltonian circuits; this condition appears to be stronger than the previously known ones. Relating linear programming to hamiltonian circuits, the present paper can also be seen as a continuation of the work of Dantzig, Fulkerson and Johnson on the travelling salesman problem. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1972
Accession Number
AD0740331

Entities

People

  • Vaclav Chvatal

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Applied Mathematics
  • Computer Programming
  • Inequalities
  • Integer Programming
  • Interdisciplinary Science
  • Linear Programming
  • Mathematical Programming
  • Mathematics
  • Operations Research

Readers

  • Graph Algorithms and Convex Optimization.
  • Military History of the United States in the 20th Century.
  • Operations Research