DocumentCode
3151888
Title
Set bit enumeration is hard
Author
Ramachandran, J.
Author_Institution
Ohio State Univ., Columbus, OH, USA
fYear
1992
fDate
22-25 Jun 1992
Firstpage
58
Lastpage
70
Abstract
The polynomial-time function hierarchy is a function analog to the polynomial hierarchy and contains many interesting natural functions. Given the difficulties encountered so far in trying to develop feasible algorithms for these functions, the author seeks instead to construct feasible approximations. The author describes one such notion of approximation, set bit enumeration, which seems to be, by definition, a very weak information source. It is shown that this information is hard in the sense that if one could feasibly compute it, then one could compute, in polynomial time, the value of any function in the polynomial-time function hierarchy. In proving these hardness results, the author uses a novel method of pruning nondeterminism out of deterministic computation, together with combinatorial counting
Keywords
computational complexity; combinatorial counting; deterministic computation; feasible approximations; hardness; natural functions; nondeterminism pruning; polynomial-time function hierarchy; set bit enumeration; Analog computers; Complexity theory; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Structure in Complexity Theory Conference, 1992., Proceedings of the Seventh Annual
Conference_Location
Boston, MA
Print_ISBN
0-8186-2955-X
Type
conf
DOI
10.1109/SCT.1992.215381
Filename
215381
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