This research is in the area of computational complexity theory. It will continue to develop the complexity theory of real functions. The main idea is to apply the concepts and techniques of discrete NP- completeness theory to prove lower bound results for important classical theorems in real and complex analysis, as well as important computational problems in numerical analysis. The research will study the notions of generalized Kolmogorov complexity and instance complexity in the context of structural complexity theory, and the relationship between these notions and other important ideas in complexity theory: one-way functions, average-case completeness and pseudorandomness.//

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Application #
9121472
Program Officer
Dana May Latch
Project Start
Project End
Budget Start
1992-06-01
Budget End
1996-05-31
Support Year
Fiscal Year
1991
Total Cost
$155,564
Indirect Cost
Name
State University New York Stony Brook
Department
Type
DUNS #
City
Stony Brook
State
NY
Country
United States
Zip Code
11794