BOUNDS ON THE EFFECT OF AGGREGATING VARIABLES IN LINEAR PROGRAMS.
Publication
, Journal Article
Zipkin, PH
Published in: Operations Research
1980
This study explores the effects of aggregating variables in large linear programs. The author defines a reasonable criterion for the resulting loss in accuracy, and derive bounds on this quantity. A posteriori bounds may be calculated after solving the aggregated problem, and a priori bounds before. It is also shown that standard iterative methods can be used to improve the accuracy of a given aggregated problem. A numerical example illustrates the results.
Duke Scholars
Published In
Operations Research
Publication Date
1980
Volume
28
Issue
2
Start / End Page
403 / 418
Related Subject Headings
- Operations Research
- 3507 Strategy, management and organisational behaviour
- 1503 Business and Management
- 0802 Computation Theory and Mathematics
- 0102 Applied Mathematics
Citation
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ICMJE
MLA
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Zipkin, P. H. (1980). BOUNDS ON THE EFFECT OF AGGREGATING VARIABLES IN LINEAR PROGRAMS. Operations Research, 28(2), 403–418.
Zipkin, P. H. “BOUNDS ON THE EFFECT OF AGGREGATING VARIABLES IN LINEAR PROGRAMS.” Operations Research 28, no. 2 (1980): 403–18.
Zipkin PH. BOUNDS ON THE EFFECT OF AGGREGATING VARIABLES IN LINEAR PROGRAMS. Operations Research. 1980;28(2):403–18.
Zipkin, P. H. “BOUNDS ON THE EFFECT OF AGGREGATING VARIABLES IN LINEAR PROGRAMS.” Operations Research, vol. 28, no. 2, 1980, pp. 403–18.
Zipkin PH. BOUNDS ON THE EFFECT OF AGGREGATING VARIABLES IN LINEAR PROGRAMS. Operations Research. 1980;28(2):403–418.
Published In
Operations Research
Publication Date
1980
Volume
28
Issue
2
Start / End Page
403 / 418
Related Subject Headings
- Operations Research
- 3507 Strategy, management and organisational behaviour
- 1503 Business and Management
- 0802 Computation Theory and Mathematics
- 0102 Applied Mathematics