9781611974355 - automatic differentiation in matlab using admat with applications di coleman, thomas f.; xu, wei (11 risultati)
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Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 2016
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 70,01
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Paperback. Condizione: New. The calculation of partial derivatives is a fundamental need in scientific computing. Automatic differentiation (AD) can be applied straightforwardly to obtain all necessary partial derivatives (usually first and, possibly, second derivatives) regardless of a code's complexity. However, the space and…time efficiency of AD can be dramatically improved - sometimes transforming a problem from intractable to highly feasible - if inherent problem structure is used to apply AD in a judicious manner.This book discusses the efficient use of AD to solve real problems, especially multidimensional zero-finding and optimization, in the MATLAB environment. This book is concerned with the determination of the first and second derivatives in the context of solving scientific computing problems with an emphasis on optimization and solutions to nonlinear systems. The authors focus on the application rather than the implementation of AD, solve real nonlinear problems with high performance by exploiting the problem structure in the application of AD, and provide many easy to understand applications, examples, and MATLAB templates.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics, 2016
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Da: Basi6 International, Irving, TX, U.S.A.Basi6 International
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Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics, 2016
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 63,24
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Condizione: new.
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics (SIAM), 2016
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., 2016
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condizione: New. 2016. Paperback. . . . . .
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Paperback. Condizione: Brand New. 1st edition. 117 pages. 9.90x7.50x0.20 inches. In Stock.
Automatic Differentiation in MATLAB Using ADMAT with Applications (Software, Environments and Tools)
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics, 2016
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., 2016
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Paperback. Condizione: New. New copy - Usually dispatched within 4 working days.
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., 2016
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. 2016. Paperback. . . . . . Books ship from the US and Ireland.
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Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 2016
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 68,50
EUR 75,98 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Paperback. Condizione: New. The calculation of partial derivatives is a fundamental need in scientific computing. Automatic differentiation (AD) can be applied straightforwardly to obtain all necessary partial derivatives (usually first and, possibly, second derivatives) regardless of a code's complexity. However, the space and…time efficiency of AD can be dramatically improved - sometimes transforming a problem from intractable to highly feasible - if inherent problem structure is used to apply AD in a judicious manner.This book discusses the efficient use of AD to solve real problems, especially multidimensional zero-finding and optimization, in the MATLAB environment. This book is concerned with the determination of the first and second derivatives in the context of solving scientific computing problems with an emphasis on optimization and solutions to nonlinear systems. The authors focus on the application rather than the implementation of AD, solve real nonlinear problems with high performance by exploiting the problem structure in the application of AD, and provide many easy to understand applications, examples, and MATLAB templates.
