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Automatic Differentiation in MATLAB using ADMAT with Applications: 27 (Software, Environments and Tools, Series Number 27)
Language: English
Published by Society for Industrial and Appli, 2016
ISBN 10: 1611974356 ISBN 13: 9781611974355
US$ 52.03
US$ 16.09 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketpaperback. Condition: Very Good. Most of our very good books have only minor imperfections such as shelf wear consistent with a new book that's sat on a bookshop shelf for a year or two. Occasionally we may miss other minor imperfections as we have to grade books at speed. Our books are dispatched from a Yorkshire former cotton mill. We list via barcode/ISBN so please note that the images are stock images and may not be the exact copy you receive, furthermore the details about edition and year might not be accurate as many publishers reuse the same ISBN for multiple editions and as we simply scan a barcode or enter an ISBN we do not check the validity of the edition data when listing. If you're looking for an exact edition please don't order (at least not without checking with us first, although we don't always have time to check). We aim to dispatch prompty, the service used will depend on order value and book size. We can ship to most countries, see our shipping policies. Payment is via Abe only.
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Automatic Differentiation in Matlab Using Admat With Applications
Language: English
Published by Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974356 ISBN 13: 9781611974355
Condition: New.
-
Automatic Differentiation in MATLAB Using ADMAT with Applications
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2016
ISBN 10: 1611974356 ISBN 13: 9781611974355
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: 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.
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Automatic Differentiation in Matlab Using Admat With Applications
Language: English
Published by Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974356 ISBN 13: 9781611974355
Condition: As New. Unread book in perfect condition.
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Automatic Differentiation in MATLAB using ADMAT with Applications
Language: English
Published by Cambridge University Press, 2016
ISBN 10: 1611974356 ISBN 13: 9781611974355
US$ 77.16
US$ 13.25 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 1st edition. 117 pages. 9.90x7.50x0.20 inches. In Stock.
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Software, Environments and Tools: Series Number 27: Automatic Differentiation in MATLAB using ADMAT with Applications
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2016
ISBN 10: 1611974356 ISBN 13: 9781611974355
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. 2016. Paperback. . . . . .
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Automatic Differentiation in Matlab Using Admat With Applications
Language: English
Published by Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974356 ISBN 13: 9781611974355
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 81.14
US$ 19.87 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: New.
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Automatic Differentiation in Matlab Using Admat With Applications
Language: English
Published by Society for Industrial and Applied Mathematics, 2016
ISBN 10: 1611974356 ISBN 13: 9781611974355
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 82.41
US$ 19.87 shipping
Ships from United Kingdom to U.S.A.Quantity: 2 available
Add to basketCondition: As New. Unread book in perfect condition.
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Automatic Differentiation in MATLAB using ADMAT with Applications
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2016
ISBN 10: 1611974356 ISBN 13: 9781611974355
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 83.83
US$ 18.55 shipping
Ships from United Kingdom to U.S.A.Quantity: 3 available
Add to basketPaperback. Condition: New. New copy - Usually dispatched within 4 working days.
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Software, Environments and Tools: Series Number 27: Automatic Differentiation in MATLAB using ADMAT with Applications
Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2016
ISBN 10: 1611974356 ISBN 13: 9781611974355
Condition: New. 2016. Paperback. . . . . . Books ship from the US and Ireland.
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Automatic Differentiation in MATLAB Using ADMAT with Applications
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2016
ISBN 10: 1611974356 ISBN 13: 9781611974355
US$ 81.12
US$ 86.10 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: 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.
