The research proposed is concerned with probabilistic concepts arising in the theory of computation on the one hand, and its effect on the understanding of the nature of randomness on the other. The theory of problems with intractable random instances is more subtle than similar worst-case theories. Constructive expanders, coding theory, and other combinatorial and algebraic techniques must be used. An important use of hard-on-average problems is the generation of pseudo-random strings. In contrast, worst-case negative results rarely have applications, while worst-case positive results are hopeless for many easy-on average problems.

Agency
National Science Foundation (NSF)
Institute
Division of Computer and Communication Foundations (CCF)
Application #
9015276
Program Officer
Dana May Latch
Project Start
Project End
Budget Start
1991-02-01
Budget End
1995-01-31
Support Year
Fiscal Year
1990
Total Cost
$300,314
Indirect Cost
Name
Boston University
Department
Type
DUNS #
City
Boston
State
MA
Country
United States
Zip Code
02215