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Counting in Structural Complexity Theory

File(s)
87-840.ps (1.83 MB)
87-840.pdf (7.87 MB)
Permanent Link(s)
https://hdl.handle.net/1813/6680
Collections
Computer Science Technical Reports
Author
Hemachandra, Lane A.
Abstract

Structural complexity theory is the study of the form and meaning of computational complexity classes. Complexity classes - P, NP, Probabilistic P, PSPACE, etc. - are formalizations of computational powers - deterministic, nondeterministic, probabilistic, etc. By examining the structure of and the relationships between these classes, we seek to understand the relative strengths of their underlying computational paradigms. This thesis studies counting in structural complexity theory. We are interested in complexity classes defined by counting and in the use of counting to explore the structure of these and other classes.

Date Issued
1987-06
Publisher
Cornell University
Keywords
computer science
•
technical report
Previously Published as
http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR87-840
Type
technical report

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