Solving systems of rational equations through strategy iteration

Thomas Martin Gawlitza, Helmut Seidl

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

We present practical algorithms for computing exact least solutions of equation systems over the reals with addition, multiplication by positive constants, minimum and maximum. The algorithms are based on strategy iteration. Our algorithms can, for instance, be used for the analysis of recursive stochastic games. In the present article we apply our techniques for computing abstract least fixpoint semantics of affine programs over the relational template polyhedra domain. In particular, we thus obtain practical algorithms for computing abstract least fixpoint semantics over the abstract domains of intervals, zones, and octagons.

Original languageEnglish
Article number11
JournalACM Transactions on Programming Languages and Systems (TOPLAS)
Volume33
Issue number3
DOIs
StatePublished - Apr 2011

Keywords

  • Abstract interpretation
  • Fixpoint equation systems
  • Recursive stochastic games
  • Static program analysis
  • Strategy improvement algorithms

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