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Generalized Lagrange Multiplier Method for Solving Problems of Optimum Allocation of Resources
Abstract
The usefulness of Lagrange multipliers for optimization in the presence of constraints is not limited to differentiable functions. They can be applied to problems of maximizing an arbitrary real valued objective function over any set whatever, subject to bounds on the values of any other finite collection of real valued functions denned on the same set. While the use of the Lagrange multipliers does not guarantee that a solution will necessarily be found for all problems, it is “fail-safe” in the sense that any solution found by their use is a true solution. Since the method is so simple compared to other available methods it is often worth trying first, and succeeds in a surprising fraction of cases. They are particularly well suited to the solution of problems of allocating limited resources among a set of independent activities.
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Cited by
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Pierskalla, W. P., & Voelker, J. A. (1976) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800230302 · Cited by 678
Fast approximate energy minimization with label costs
Delong, A., Osokin, A., Isack, H. N., & Boykov, Y. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539897 · Cited by 404
Relaxations of Weakly Coupled Stochastic Dynamic Programs
Adelman, D., & Mersereau, A. J. (2008) · Operations Research · doi:10.1287/opre.1070.0445 · Cited by 198
Metadata
- Authors
- Everett, H.
- Venue
- Operations Research
- Published
- 1963-06
- Volume
- 11
- Issue
- 3
- Pages
- 399-417
- ISSN
- 0030-364X (ISSN-L)
- 1526-5463
- OpenAlex
- W2069277547
- Cited by
- 1,274
- References
- 0
- FWCI
- 12.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- Everett, H. (1963). Generalized Lagrange Multiplier Method for Solving Problems of Optimum Allocation of Resources. Operations Research. https://doi.org/10.1287/opre.11.3.399
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