Conditions for a minimax optimum
This paper derives and discusses necessary conditions for an optimum in nonlinear minimax approximation problems. A straightforward geometrical interpretation is presented. The results may be used to test for convergence in computer-aided network optimization, in tests for optimality in the Chebyshe...
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| Veröffentlicht in: | IEEE transactions on circuit theory Jg. 18; H. 4; S. 476 - 479 |
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| 1. Verfasser: | |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
01.01.1971
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| ISSN: | 0018-9324 |
| Online-Zugang: | Volltext |
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| Abstract | This paper derives and discusses necessary conditions for an optimum in nonlinear minimax approximation problems. A straightforward geometrical interpretation is presented. The results may be used to test for convergence in computer-aided network optimization, in tests for optimality in the Chebyshev sense of any given design, and to gain insight which may be helpful in developing minimax approximation algorithms. |
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| AbstractList | This paper derives and discusses necessary conditions for an optimum in nonlinear minimax approximation problems. A straightforward geometrical interpretation is presented. The results may be used to test for convergence in computer-aided network optimization, in tests for optimality in the Chebyshev sense of any given design, and to gain insight which may be helpful in developing minimax approximation algorithms. |
| Author | Bandler, J. |
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| Cites_doi | 10.1109/TCT.1968.1082855 10.1093/comjnl/12.1.63 10.1093/comjnl/8.4.358 10.1109/TCT.1969.1082982 10.1109/PROC.1967.6018 10.1109/TCT.1969.1082917 10.1109/ICC.2005.1494970 10.1109/TMTT.1969.1127006 10.1109/TMTT.1969.1127005 10.1109/TMTT.1969.1127007 10.1109/TCT.1969.1082965 10.1109/TMTT.1970.1127425 |
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| Snippet | This paper derives and discusses necessary conditions for an optimum in nonlinear minimax approximation problems. A straightforward geometrical interpretation... |
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| StartPage | 476 |
| SubjectTerms | Algorithm design and analysis Approximation algorithms Chebyshev approximation Computer networks Convergence Design optimization Minimax techniques Network synthesis Optimization methods Testing |
| Title | Conditions for a minimax optimum |
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