This research is directed towards a further understanding of average complexity of NP-complete problems. NP-complete problems are generally thought of as being computationally intractable. But NP-completeness is a worst-case concept; some NP-complete problems are easy on average, though some may not be. Levin introduced the notion of NP-completeness and used it to distinguish intrinsically hard-on-average problems. A small number of problems have since been shown to be NP-complete on average, but this situation is far from satisfactory. Finding new average complete problems remains a main issue in average complexity theory. The project is aimed at a systematic investigation of the average complexity of concrete problems. The goal here is to obtain a new list of average NP-complete problems and develop new techniques for proving average completeness results.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Application #
9820611
Program Officer
Robert Sloan
Project Start
Project End
Budget Start
1999-09-01
Budget End
2001-11-30
Support Year
Fiscal Year
1998
Total Cost
$112,410
Indirect Cost
Name
University of North Carolina Greensboro
Department
Type
DUNS #
City
Greensboro
State
NC
Country
United States
Zip Code
27412