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Inhaltsangabe
As modelling efforts attempt to solve problems related to ever more complex systems, and as algorithms are developed specifically to handle problems having thousands (or even hundreds of thousands) of variables, the need for sound computational testing and full disclosure of experimental results is both obvious and immediate. This collection of papers reflects both the current technology available to mathematical programmers for solving optimization problems, and mechanisms for testing and determining the quality of software used. This testing requires suitable test problems and the execution of a designed experiment to determine the efficiency, robustness, reliability and applicability of various algorithms. Many aspects of computational mathematical programming are covered: the testing of new algorithms for optimizing functions of a specified form, computational comparisons of known algorithms, a preliminary computational evaluation of the new projective method, why decomposition methods have not been as successful as originally anticipated, etc.
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As modelling efforts attempt to solve problems related to ever more complex systems, and as algorithms are developed specifically to handle problems having thousands (or even hundreds of thousands) of variables, the need for sound computational testing and full disclosure of experimental results is both obvious and immediate. This collection of papers reflects both the current technology available to mathematical programmers for solving optimization problems, and mechanisms for testing and determining the quality of software used. This testing requires suitable test problems and the execution of a designed experiment to determine the efficiency, robustness, reliability and applicability of various algorithms. Many aspects of computational mathematical programming are covered: the testing of new algorithms for optimizing functions of a specified form, computational comparisons of known algorithms, a preliminary computational evaluation of the new projective method, why decomposition methods have not been as successful as originally anticipated, etc.
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- VerlagElsevier Science Ltd
- Erscheinungsdatum1987
- ISBN 10 0444703098
- ISBN 13 9780444703095
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten200
- HerausgeberHoffman K.L., Etc., Jackson R.H.F., Telgen J.
- Kontakt zum HerstellerNicht verfügbar
Suchergebnisse für Computational Mathematical Programming ("Mathematical...
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Computational Mathematical Programming. Mathematical Programming Study, Volume 31
Verlag:
Amsterdam: North-Holland, 1987
ISBN 10: 0444703098
ISBN 13: 9780444703095
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Softcover
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