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Constrained Global Optimization: Algorithms and Applications: Algorithms And Applications (Lecture Notes In Computer Science): 268 - Softcover

 
9783540180951: Constrained Global Optimization: Algorithms and Applications: Algorithms And Applications (Lecture Notes In Computer Science): 268
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Global optimization is concerned with the characterization and computation of global minima or maxima of nonlinear functions. Such problems are widespread in mathematical modeling of real world systems for a very broad range of applications. The applications include economies of scale, fixed charges, allocation and location problems, quadratic assignment and a number of other combinatorial optimization problems. More recently it has been shown that certain aspects of VLSI chip design and database problems can be formulated as constrained global optimization problems with a quadratic objective function. Although standard nonlinear programming algorithms will usually obtain a local minimum to the problem , such a local minimum will only be global when certain conditions are satisfied (such as f and K being convex).

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  • VerlagSpringer
  • Erscheinungsdatum1987
  • ISBN 10 3540180958
  • ISBN 13 9783540180951
  • EinbandTapa blanda
  • Anzahl der Seiten156

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9780387180953: Constrained Global Optimization: Algorithms and Applications (Lecture Notes in Computer Science)

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ISBN 10:  0387180958 ISBN 13:  9780387180953
Verlag: Springer Verlag, 1987
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ISBN 10: 3540180958 ISBN 13: 9783540180951
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Buchbeschreibung Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Global optimization is concerned with the characterization and computation of global minima or maxima of nonlinear functions. Such problems are widespread in mathematical modeling of real world systems for a very broad range of applications. The applications include economies of scale, fixed charges, allocation and location problems, quadratic assignment and a number of other combinatorial optimization problems. More recently it has been shown that certain aspects of VLSI chip design and database problems can be formulated as constrained global optimization problems with a quadratic objective function. Although standard nonlinear programming algorithms will usually obtain a local minimum to the problem , such a local minimum will only be global when certain conditions are satisfied (such as f and K being convex). Artikel-Nr. 9783540180951

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