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An even faster solver for general systems of equations

  • Christian Fecht
  • Helmut Seidl
Contributed Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1145)

Abstract

We present a new algorithm which computes a partial approximate solution for a system of equations. It is local in that it considers as few variables as necessary in order to compute the values of those variables we are interested in, it is generic in that it makes no assumptions on the application domain, and it is general in that the algorithm does not depend on any specific properties of right-hand sides of equations. For instance, monotonicity is not required. However, in case the right-hand sides satisfy some weak monotonicity property, our algorithm returns the (uniquely defined) least solution.

The algorithm meets the best known theoretical worstcase complexity of similar algorithms. For the application of analyzing logic languages, it also gives the best practical results on most of our real world benchmark programs.

Keywords

Logic Program Time Stamp Complete Lattice Abstract Interpretation Variable Assignment 
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

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Christian Fecht
    • 1
  • Helmut Seidl
    • 2
  1. 1.Universität des SaarlandesSaarbrücken
  2. 2.Fachbereich IV - InformatikUniversität TrierTrier

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