Publikationsansicht

Large Algorithmic Methods for Dynamic System Management (1998)

Abstract
The issue of uncertainty-tolerant computing has been largely ignored by algorithm designers, who focused on developing elegant mathematical structures for solving traditional combinatorial problems. Our goal is to build new algorithmic primitives for handling issues of uncertainty. The comprehensive algorithmic theory of decision-making in the presence of uncertainty may be applicable in domains outside of computer science, including control systems, economics, manufacturing, etc.

Details der Publikation
Download http://handle.dtic.mil/100.2/ADA395730
Mitarbeiter JOHNS HOPKINS UNIV BALTIMORE MD DEPT OF COMPUTER SCIENCE
Archiv Defense Technical Information Center OAI-PMH Repository (United States)
Keywords OPERATIONS RESEARCH, COMPUTER SYSTEMS MANAGEMENT AND STANDARDS, *MATHEMATICAL PROGRAMMING, *SYSTEMS MANAGEMENT, UNCERTAINTY, CONTROL SYSTEMS, QUEUEING THEORY, DECISION MAKING, DATA TRANSMISSION SYSTEMS, MATHEMATICAL PREDICTION, NETWORK FLOWS.
Sprache eng