Complexity theory deals with how hard problems are. Dr. Beigel's research addresses the following question: When is it significantly harder to solve k+1 instances of a problem than to solve only k instances? The answer to this question is not obvious because there are hard problems for which solving n instances is not much harder than solving 1 instance. Recently, various researchers have looked at the number of queries that must be made to an oracle in order to solve a problem as a measure of that problem's difficulty. Counting oracle queries provides a way of formalizing the main question posed in this research and leads naturally to the definition of cheatable sets, p- terse sets, and p-superterse sets. The study of these sets makes it possible to prove that it is significantly harder to solve k+1 instances of certain kinds of important problems than k instances. Dr. Beigel is also investigating how these notions are related to other important concepts in complexity theory.

Project Start
Project End
Budget Start
1988-06-01
Budget End
1989-08-21
Support Year
Fiscal Year
1988
Total Cost
$16,760
Indirect Cost
Name
Johns Hopkins University
Department
Type
DUNS #
City
Baltimore
State
MD
Country
United States
Zip Code
21218