Title :
An economic framework for computing
Author :
Moore, James C. ; Richmond, William I. ; Whinston, Andrew B.
Author_Institution :
Krannert Graduate Sch. of Bus., Purdue Univ., West Lafayette, IN, USA
Abstract :
The authors take a decision theoretic-approach to algorithm construction, and they view an algorithm as a formalization of a decision process. They summarize several sufficient conditions for using dynamic programming to construct optimal algorithms or decision processes. The authors interpret these conditions and their relationships to parallel and distributed processing
Keywords :
algorithm theory; decision theory; dynamic programming; economics; algorithm construction; computing; conditions; decision processes; decision theory; distributed processing; dynamic programming; economic framework; optimal algorithms; parallel processing; relationships; sufficient conditions; Algorithm design and analysis; Binary search trees; Computer science; Cost function; Decision making; Distributed processing; Dynamic programming; Information retrieval; Production; Sufficient conditions;
Conference_Titel :
System Sciences, 1989. Vol.III: Decision Support and Knowledge Based Systems Track, Proceedings of the Twenty-Second Annual Hawaii International Conference on
Conference_Location :
Kailua-Kona, HI
Print_ISBN :
0-8186-1913-9
DOI :
10.1109/HICSS.1989.49231
