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Abstract: We discuss several complexity measures for Boolean functions: certificate complexity, sensitivity, block sensitivity, and the degree of a representing or approximating polynomial. We survey the relations and biggest gaps known between these measures, and show how they give bounds for the decision tree complexity of Boolean functions on deterministic, randomized, and quantum computers. 1 Introduction Computational Complexity is the subfield of Theoretical Computer Science that aims to understand ... (Update)
Context of citations to this paper: More
...model for probabilistic sampling algorithms that compute approximate solutions. This model is based on the decision tree model [25] and relates the query complexity to the size of the sample. We start by providing some (mostly) textbook de nitions for self...
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BibTeX entry: (Update)
H. Buhrman and R. de Wolf. Complexity measures and decision tree complexity: A survey. Submitted. Available at http://www.cwi.nl/~rdewolf, 1999. http://citeseer.ist.psu.edu/buhrman00complexity.html More
@misc{ buwo02, author = "H. Buhrman and R. de Wolf",
title = "Complexity measures and decision tree complexity: A survey",
journal="Theoretical Computer Science",
volume="288",
pages="21-43",
year="2002",
url = "citeseer.ist.psu.edu/buhrman00complexity.html",
url = "citeseer.nj.nec.com/buhrman00complexity.html" }
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the degree of polynomials that approximate symmetric Boolean.. (context) - Paturi - 1992
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Schwankung von Polynomen zwischen Gitterpunkten (context) - Ehlich, Zeller - 1964
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A comparison of uniform approximations on an interval and a .. (context) - Rivlin, Cheney - 1966
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deterministic decision tree complexity for read-once Boolean.. (context) - Heiman, Wigderson - 1991
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How many functions can be distinguished with k quantum queri.. (context) - Farhi, Goldstone et al. - 1999
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