Lagrange Multiplier Method for Convex Programs
The problem of minimizing a convex function that is subject to the constraint that a number of other convex functions be nonpositive can be treated by the Lagrange multiplier method. Such a treatment was revived by Kuhn and Tucker and further studied by many other scientists. These studies led to an...
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| Pubblicato in: | Proc Natl Acad Sci U S A |
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| Autore principale: | |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
National Academy of Sciences
1975
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| Accesso online: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC432629/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/16578726/ https://ncbi.nlm.nih.govhttps://doi.org/10.1073/pnas.72.5.1778 |
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