This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.
"Sinopsis" puede pertenecer a otra edición de este libro.
This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form without neglecting rigour. The work should enable the professional to apply optimization theory and algorithms to his own particular practical field of interest, be it engineering, physics, chemistry, or business economics. Most importantly, for the first time in a relatively brief and introductory work, due attention is paid to the difficulties such as noise, discontinuities, expense of function evaluations, and the existence of multiple minima that often unnecessarily inhibit the use of gradient-based methods. In a separate chapter on new gradient-based methods developed by the author and his coworkers, it is shown how these difficulties may be overcome without losing the desirable features of classical gradient-based methods.
Audience
It is intended that this book be used in senior- to graduate-level semester courses in optimization, as offered in mathematics, engineering, computer science, and operations research departments, and also to be useful to practising professionals in the workplace.
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Alemania
Softcover/Paperback. Condición: Sehr gut. 280 p. Very good. Shrink wrapped. / Sehr guter Zustand. In Folie verschweißt. Sprache: Englisch Gewicht in Gramm: 604. Nº de ref. del artículo: 824123
Cantidad disponible: 1 disponibles
Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
15 x 23 cm. 278 pages. Paperback. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Nº de ref. del artículo: 5602VB
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 4118164-n
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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
Paperback or Softback. Condición: New. Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms. Book. Nº de ref. del artículo: BBS-9780387298245
Cantidad disponible: 5 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9780387298245
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9780387298245
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9780387298245_new
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: New. Nº de ref. del artículo: 4118164-n
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Librería: LIBRERIA LEA+, Santiago, RM, Chile
Blanda. Condición: New. Estado de la sobrecubierta: Nuevo. No Aplica Ilustrador. 0. This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form without neglecting rigour. The work should enable the professional to apply optimization theory and algorithms to his own particular practical field of interest, be it engineering, physics, chemistry, or business economics. Most importantly, for the first time in a relatively brief and introductory work, due attention is paid to the difficulties?such as noise, discontinuities, expense of function evaluations, and the existence of multiple minima?that often unnecessarily inhibit the use of gradient-based methods. In a separate chapter on new gradient-based methods developed by the author and his coworkers, it is shown how these difficulties may be overcome without losing the desirable features of classical gradient-based methods. Audience. It is intended that this book be used in senior- to graduate-level semester courses in optimization, as offered in mathematics, engineering, computer science, and operations research departments, and also to be useful to practising professionals in the workplace. 480 gr. Libro. Nº de ref. del artículo: 9780387298245LEA45915
Cantidad disponible: 1 disponibles
Librería: moluna, Greven, Alemania
Kartoniert / Broschiert. Condición: New. Presents the theory in a straightforward readable mannerThis is the first compact reference to address difficulties that inhibit broad use of gradient-based methodsShows how to apply optimization theory and algorithms in such . Nº de ref. del artículo: 5909822
Cantidad disponible: Más de 20 disponibles