Observations on a Class of Nasty Linear Complementarity Problems.

Abstract

Earlier papers by Murty (16) and Fathi (7) have exhibited classes of linear complementarity problems for which the computational effort (number of pivot steps) required to solve them by Lemke's algorithm (13) or Murty's algorithm (15) grows exponentially with the problem size (number of variables). In this paper we consider the sequences of complementary bases that arise as these problems are solved by the aforementioned algorithms. There is a natural correspondence between these bases and binary n-vectors through which the basis sequences can be identified with particular hamiltonian paths on the unit n-cube and with the binary Gray code representations of the integers from 0 to 2 to the n minus 1. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADA068472

Entities

People

  • Richard Cottle

Organizations

  • Stanford University

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  • Counter IED

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  • Algorithms
  • Computational Complexity
  • Equations
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  • Linear Programming
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  • Mathematics

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  • Graph Algorithms and Convex Optimization.
  • Operations Research