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Numerical Operations

  • Kendall PrestonJr.
  • Michael J. B. Duff
Part of the Advanced Applications in Pattern Recognition book series (AAPR)

Abstract

This chapter considers ways in which cellular automata can be used to perform numerical operations. It is undoubtedly true that any array of general purpose processors is able to implement any numerical operation, given sufficient storage and allowing a sufficiently long sequence of instruction cycles. It is also true that the way in which data are represented in the array and the details of the array architecture strongly influence the efficiency of the array as a numerical processor.

Keywords

Significant Digit Cellular Automaton Binary Number Full Adder Arithmetic Circuit 
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 Science+Business Media New York 1984

Authors and Affiliations

  • Kendall PrestonJr.
    • 1
    • 2
    • 3
  • Michael J. B. Duff
    • 4
  1. 1.Carnegie-Mellon UniversityPittsburghUSA
  2. 2.University of PittsburghPittsburghUSA
  3. 3.Kensal ConsultingTusconUSA
  4. 4.University College LondonLondonEngland

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