Computing Least Fixed Points of Probabilistic Systems of Polynomials - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2010

Computing Least Fixed Points of Probabilistic Systems of Polynomials

Javier Esparza
  • Function : Correspondent author
  • PersonId : 867111

Connectez-vous pour contacter l'auteur
Andreas Gaiser
  • Function : Author
  • PersonId : 867112
Stefan Kiefer
  • Function : Author
  • PersonId : 867113

Abstract

We study systems of equations of the form X1 = f1(X1, ..., Xn), ..., Xn = fn(X1, ..., Xn), where each fi is a polynomial with nonnegative coefficients that add up to 1. The least nonnegative solution, say mu, of such equation systems is central to problems from various areas, like physics, biology, computational linguistics and probabilistic program verification. We give a simple and strongly polynomial algorithm to decide whether mu=(1, ..., 1) holds. Furthermore, we present an algorithm that computes reliable sequences of lower and upper bounds on mu, converging linearly to mu. Our algorithm has these features despite using inexact arithmetic for efficiency. We report on experiments that show the performance of our algorithms.
Fichier principal
Vignette du fichier
esparza.pdf (232.94 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00455344 , version 1 (10-02-2010)

Identifiers

  • HAL Id : inria-00455344 , version 1

Cite

Javier Esparza, Andreas Gaiser, Stefan Kiefer. Computing Least Fixed Points of Probabilistic Systems of Polynomials. 27th International Symposium on Theoretical Aspects of Computer Science - STACS 2010, Inria Nancy Grand Est & Loria, Mar 2010, Nancy, France. pp.359-370. ⟨inria-00455344⟩

Collections

STACS2010
337 View
147 Download

Share

Gmail Facebook X LinkedIn More