DocumentCode
2884897
Title
Expected query complexity of symmetric boolean functions
Author
Acharya, Jayadev ; Jafarpour, Ashkan ; Orlitsky, Alon
Author_Institution
Univ. of California San Diego, La Jolla, CA, USA
fYear
2011
fDate
28-30 Sept. 2011
Firstpage
26
Lastpage
29
Abstract
The problem of finding optimal querying policy, for expected query complexity of symmetric boolean threshold functions was solved in [1] in the context of collocated networks. In this paper, instead of considering the optimal policy to compute the functions, we define the problem of verification of the function value. We use this idea to provide a simpler proof of the optimal querying policy for threshold functions. The method is more generic and is extended to delta and some other symmetric functions. We also provide some partial results for interval functions and finally address a question posed in [1]. Recently we have extended these results to any symmetric function of boolean inputs, which we mention at the end.
Keywords
Boolean functions; computational complexity; collocated networks; expected query complexity; function value; optimal querying policy; symmetric boolean threshold functions; Boolean functions; Complexity theory; Decision trees; Indexes; Legislation; Random variables; USA Councils;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication, Control, and Computing (Allerton), 2011 49th Annual Allerton Conference on
Conference_Location
Monticello, IL
Print_ISBN
978-1-4577-1817-5
Type
conf
DOI
10.1109/Allerton.2011.6120145
Filename
6120145
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