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An approximation method for solving the sofa problem

  • Kiyoshi Maruyama
Article

Abstract

A procedure for the solution of the two-dimensional sofa problem is described. A new class of polygons, angularly simple polygons, is defined as a class of permissible sofas. The pattern representationSr(xo) developed for this class of polygons has the advantage of allowing easy polygonal transformations. The procedure called GSPS, described here, gives a good approximate solution to the sofa problem in reasonable time. Slight modification of the procedure leads to an algorithm for the solution of the general sofa problem.

Keywords

Operating System Approximation Method Approximate Solution Slight Modification Reasonable Time 
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

© Plenum Publishing Corporation 1973

Authors and Affiliations

  • Kiyoshi Maruyama
    • 1
  1. 1.Department of Computer ScienceUniversity of Illinois at Urbana-ChampaignUrbana

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