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Combinatorial Properties of Classes of Functions Hard to Compute in Constant Depth

  • Anna Bernasconi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1449)

Abstract

Any attempt to find connections between mathematical properties and complexity has a strong relevance to the field of Complexity Theory. This is due to the lack of mathematical techniques to prove lower bounds for general models of computation.

This work represents a step in this direction: we define a combinatorial property that makes Boolean functions “hard” to compute and show how the harmonic analysis on the hypercube can be applied to derive new lower bounds on the size complexity of previously unclassified Boolean functions.

Keywords

Boolean Function Parity Function Combinatorial Property Constant Depth Spectral Characterization 
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 1998

Authors and Affiliations

  • Anna Bernasconi
    • 1
  1. 1.Institut für InformatikTechnische Universität MünchenGermany

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