Publicado por SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: Zubal-Books, Since 1961, Cleveland, OH, Estados Unidos de America
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Añadir al carritoCondición: New. 292 pp., paperback, NEW!!! - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Publicado por SIAM - Society for Industrial and Applied Mathematics (edition ), 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 90,03
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Publicado por Society for Industrial and Applied Mathematics,U.S., 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 87,72
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Publicado por Society for Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Añadir al carritoCondición: New. 2021. Paperback. . . . . .
Publicado por Society for Industrial and Applied Mathematics,U.S., US, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 98,40
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Añadir al carritoPaperback. Condición: New. Over seventy years ago, Richard Bellman coined the term "the curse of dimensionality" to describe phenomena and computational challenges that arise in high dimensions. These challenges, in tandem with the ubiquity of high-dimensional functions in real-world applications, have led to a lengthy, focused research effort on high-dimensional approximation-that is, the development of methods for approximating functions of many variables accurately and efficiently from data. This book provides an in-depth treatment of one of the latest installments in this long and ongoing story: sparse polynomial approximation methods. These methods have emerged as useful tools for various high-dimensional approximation tasks arising in a range of applications in computational science and engineering. It begins with a comprehensive overview of best s-term polynomial approximation theory for holomorphic, high-dimensional functions, as well as a detailed survey of applications to parametric differential equations. It then describes methods for computing sparse polynomial approximations, focusing on least squares and compressed sensing techniques.Sparse Polynomial Approximation of High-Dimensional Functions presents the first comprehensive and unified treatment of polynomial approximation techniques that can mitigate the curse of dimensionality in high-dimensional approximation, including least squares and compressed sensing. It develops main concepts in a mathematically rigorous manner, with full proofs given wherever possible, and it contains many numerical examples, each accompanied by downloadable code. The authors provide an extensive bibliography of over 350 relevant references, with an additional annotated bibliography available on the book's companion website (www.sparse-hd-book.com).This text is aimed at graduate students, postdoctoral fellows, and researchers in mathematics, computer science, and engineering who are interested in high-dimensional polynomial approximation techniques.
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Publicado por SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 90,34
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Publicado por SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 87,71
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Publicado por SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
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Publicado por Society for Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 103,67
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Añadir al carritoCondición: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
Publicado por SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 110,55
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Publicado por Society For Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback / Softback. Condición: Brand New. 292 pages. 10.08x7.01x0.94 inches. In Stock.
Publicado por Society for Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Publicado por SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 104,09
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Publicado por Society for Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 92,62
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Añadir al carritoCondición: New. Provides an in-depth treatment of sparse polynomial approximation methods. These methods have emerged as useful tools for various high-dimensional approximation tasks arising in a range of applications in computational science and engineering.
Publicado por Society For Industrial & Applied Mathematics,U.S. Mär 2022, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 98,08
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Publicado por Society for Industrial and Applied Mathematics,U.S., US, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 92,10
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Añadir al carritoPaperback. Condición: New. Over seventy years ago, Richard Bellman coined the term "the curse of dimensionality" to describe phenomena and computational challenges that arise in high dimensions. These challenges, in tandem with the ubiquity of high-dimensional functions in real-world applications, have led to a lengthy, focused research effort on high-dimensional approximation-that is, the development of methods for approximating functions of many variables accurately and efficiently from data. This book provides an in-depth treatment of one of the latest installments in this long and ongoing story: sparse polynomial approximation methods. These methods have emerged as useful tools for various high-dimensional approximation tasks arising in a range of applications in computational science and engineering. It begins with a comprehensive overview of best s-term polynomial approximation theory for holomorphic, high-dimensional functions, as well as a detailed survey of applications to parametric differential equations. It then describes methods for computing sparse polynomial approximations, focusing on least squares and compressed sensing techniques.Sparse Polynomial Approximation of High-Dimensional Functions presents the first comprehensive and unified treatment of polynomial approximation techniques that can mitigate the curse of dimensionality in high-dimensional approximation, including least squares and compressed sensing. It develops main concepts in a mathematically rigorous manner, with full proofs given wherever possible, and it contains many numerical examples, each accompanied by downloadable code. The authors provide an extensive bibliography of over 350 relevant references, with an additional annotated bibliography available on the book's companion website (www.sparse-hd-book.com).This text is aimed at graduate students, postdoctoral fellows, and researchers in mathematics, computer science, and engineering who are interested in high-dimensional polynomial approximation techniques.