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A Real Polynomial Decision Algorithm Using Arbitrary-Precision Floating Point Arithmetic

In: Developments in Reliable Computing

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  • Adam Strzebonski

    (Wolfram Research Inc. and Jagiellonian University)

Abstract

We study the problem of deciding whether a system of real polynomial equations and inequalities has solutions, and if yes finding a sample solution. For polynomials with exact rational number coefficients the problem can be solved using a variant of the cylindrical algebraic decomposition (CAD) algorithm. We investigate how the CAD algorithm can be adapted to the situation when the coefficients are inexact, or, more precisely, Mathematica arbitrary-precision floating point numbers. We investigate what changes need to be made in algorithms used by CAD, and how reliable are the results we get.

Suggested Citation

  • Adam Strzebonski, 1999. "A Real Polynomial Decision Algorithm Using Arbitrary-Precision Floating Point Arithmetic," Springer Books, in: Tibor Csendes (ed.), Developments in Reliable Computing, pages 337-346, Springer.
  • Handle: RePEc:spr:sprchp:978-94-017-1247-7_26
    DOI: 10.1007/978-94-017-1247-7_26
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