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On the size complexity of monotone formulas

  • Marc Snir
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 85)

Abstract

"Monotone" formulas, i.e. formulas using positive constants, additions and multiplications are investigated. Lower bounds on the size of monotone formulas representing specific polynomials (permanent, matrix multiplication, symmetric functions) are achieved, using a general, dynamic programming approach. These bounds are tight for the cases investigated. Some generalizations are suggested.

Keywords

Matrix Multiplication Regular Expression Growth Function Threshold Function Monotone Formula 
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 1980

Authors and Affiliations

  • Marc Snir
    • 1
  1. 1.Computer Science DepartmentEdinburgh UniversityEdinburghScotland

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