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
Link To Document :
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