Idioma: Inglés
Publicado por Springer (edition 2nd ed. 2018), 2018
ISBN 10: 3319775855 ISBN 13: 9783319775852
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
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Añadir al carritoHardcover. Condición: Very Good. 2nd ed. 2018. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
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Librería: Basi6 International, Irving, TX, Estados Unidos de America
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Añadir al carritoOriginal-Pappband. Condición: Sehr gut. gr8 Original-Pappband 2nd Ed. en (Springer Optimization and Its Applications, Vol. 133) XXVI, 372 pp.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 90,94
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook presents a wide range of tools for a course in mathematical optimization for upper undergraduate and graduate students in mathematics, engineering, computer science, and other applied sciences. Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and algorithms for solving both smooth and noisy discontinuous optimization problems. Attention is also paid to the difficulties of expense of function evaluations and the existence of multiple minima that often unnecessarily inhibit the use of gradient-based methods. This second edition addresses further advancements ofgradient-only optimization strategies to handlediscontinuities in objective functions. New chapters discuss the construction of surrogate models as well as new gradient-only solution strategies andnumerical optimizationusing Python. A special Python module is electronically available (via springerlink) that makes the new algorithms featured in the text easily accessible and directly applicable. Numerical examples and exercises are included to encourage senior- to graduate-level students to plan, execute, and reflect on numerical investigations. By gaining a deep understanding of the conceptual material presented, students, scientists, and engineers will be able to develop systematic and scientific numerical investigative skills.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 74,24
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer, Springer Mai 2018, 2018
ISBN 10: 3319775855 ISBN 13: 9783319775852
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 90,94
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook presents a wide range of tools for a course in mathematical optimization for upper undergraduate and graduate students in mathematics, engineering, computer science, and other applied sciences. Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and algorithms for solving both smooth and noisy discontinuous optimization problems. Attention is also paid to the difficulties of expense of function evaluations and the existence of multiple minima that often unnecessarily inhibit the use of gradient-based methods. This second edition addresses further advancements ofgradient-only optimization strategies to handlediscontinuities in objective functions. New chapters discuss the construction of surrogate models as well as new gradient-only solution strategies andnumerical optimizationusing Python. A special Python module is electronically available (via springerlink) that makes the new algorithms featured in the text easily accessible and directly applicable. Numerical examples and exercises are included to encourage senior- to graduate-level students to plan, execute, and reflect on numerical investigations. By gaining a deep understanding of the conceptual material presented, students, scientists, and engineers will be able to develop systematic and scientific numerical investigative skills. 400 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, 2018
ISBN 10: 3319775855 ISBN 13: 9783319775852
Librería: moluna, Greven, Alemania
EUR 79,10
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Guides readers to understand processes and strategies in real world optimization problemsContains new material on gradient-based methods, algorithm implementation via Python, and basic optimization principlesCovers fu.
Idioma: Inglés
Publicado por Springer, Springer Mai 2018, 2018
ISBN 10: 3319775855 ISBN 13: 9783319775852
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 90,94
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This textbook presents a wide range of tools for a course in mathematical optimization for upper undergraduate and graduate students in mathematics, engineering, computer science, and other applied sciences. Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and algorithms for solving both smooth and noisy discontinuous optimization problems. Attention is also paid to the difficulties of expense of function evaluations and the existence of multiple minima that often unnecessarily inhibit the use of gradient-based methods. This second edition addresses further advancements of gradient-only optimization strategies to handle discontinuities in objective functions. New chapters discuss the construction of surrogate models as well as new gradient-only solution strategies and numerical optimization using Python. A special Python module is electronically available (via springerlink) that makes the new algorithms featured in the text easily accessible and directly applicable. Numerical examples and exercises are included to encourage senior- to graduate-level students to plan, execute, and reflect on numerical investigations. By gaining a deep understanding of the conceptual material presented, students, scientists, and engineers will be able to develop systematic and scientific numerical investigative skills.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 400 pp. Englisch.
Librería: preigu, Osnabrück, Alemania
EUR 82,10
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. Practical Mathematical Optimization | Basic Optimization Theory and Gradient-Based Algorithms | Jan A Snyman (u. a.) | Buch | Springer Optimization and Its Applications | xxvi | Englisch | 2018 | Springer | EAN 9783319775852 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.