On the Approximation of Linear AE-Solution Sets

  • Authors:
  • Alexandre Goldsztejn;Gilles Chabert

  • Affiliations:
  • -;-

  • Venue:
  • SCAN '06 Proceedings of the 12th GAMM - IMACS International Symposium on Scientific Computing, Computer Arithmetic and Validated Numerics
  • Year:
  • 2006

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Abstract

When considering systems of equations, it often happens that parameters are known with some uncertainties. This leads to continua of solutions that are usually approximated using the interval theory. A wider set of useful situations can be modeled if one allows furthermore different quan- tifications of the parameters in their domains. In particu- lar, quantified solution sets where universal quantifiers are constrained to precede existential quantifiers are called AE- solution sets. A state of the art on the approximation of linear AE- solution sets in the framework of generalized intervals (in- tervals whose bounds are not constrained to be ordered in- creasingly) is presented in a new and unifying way. Then two new generalized interval operators dedicated to the ap- proximation of quantified linear interval systems are pro- posed and investigated.