Dynamic Programming to Minimize the Maximum Number of Open Stacks

  • Authors:
  • Maria Garcia de la Banda;Peter J. Stuckey

  • Affiliations:
  • Clayton School of Information Technology, Monash University, Melbourne, Victoria 3800, Australia;National ICT Australia (NICTA) Victoria Research Laboratory, Department of Computer Science and Software Engineering, University of Melbourne, Victoria 3010, Australia

  • Venue:
  • INFORMS Journal on Computing
  • Year:
  • 2007

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Abstract

We give a dynamic-programming solution to the problem of minimizing the maximum number of open stacks. Starting from a call-based dynamic program, we show a number of ways to improve the dynamic-programming search, preprocess the problem to simplify it, and determine lower and upper bounds. We then explore a number of search strategies for reducing the search space. The final dynamic-programming solution is, we believe, highly effective.