Robustness and Randomness

  • Authors:
  • Dominique Michelucci;Jean Michel Moreau;Sebti Foufou

  • Affiliations:
  • LE2I UMR CNRS 5158, UFR Sciences, Université de Bourgogne, Dijon Cedex, France 21078;LIRIS UMR 5205, Nautibus, Université Claude Bernard Lyon 1, Villeurbanne, France 69622;LE2I UMR CNRS 5158, UFR Sciences, Université de Bourgogne, Dijon Cedex, France 21078

  • Venue:
  • Reliable Implementation of Real Number Algorithms: Theory and Practice
  • Year:
  • 2008

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Abstract

The study of robustness problems for computational geometry algorithms is a topic that has been subject to intensive research efforts from both computer science and mathematics communities. Robustness problems are caused by the lack of precision in computations involving floating-point instead of real numbers. This paper reviews methods dealing with robustness and inaccuracy problems. It discusses approaches based on exact arithmetic, interval arithmetic and probabilistic methods. The paper investigates the possibility to use randomness at certain levels of reasoning to make geometric constructions more robust.