Soft cover. Condition: Fine. Gently used copy. Spine tight. Pages clean. 336 p. NOT ex-library. Shelf: E-1.
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Published by Thunder's Mouth Press, Chicago, IL, 1985
Magazine / Periodical First Edition
Paperback. 223p., fiction, poetry, reviews, essays, photos, very good paperback journal in wraps.
ISBN 13: 9798324616267
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Dadant & Sons, Hamilton, Illinois, U.S.A., 2001
ISBN 10: 0915698110 ISBN 13: 9780915698110
Seller: M and N Books and Treasures, Bellevue, WA, U.S.A.
Pictorial Cover. Condition: Very Good. No Jacket. The boards show just a little bit of light wear. The hinges and the spine are very good. The inside pages are bright and unmarked.
ISBN 13: 9798324616267
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Dadant & Sons, Hamilton, Illinois, U.S.A., 2001
ISBN 10: 0915698110 ISBN 13: 9780915698110
Seller: LOE BOOKS, Bathpool, CORNW, United Kingdom
First Edition
Laminated Boards. Condition: As New. First Edition. pp. xi, 28, b/w illustrations. Original hard back binding fine, as-new. Contents clean and tight, no inscriptions, appears unopened. An as-new copy. Size: 8vo (16 x 24cm). Book.
Published by GB, 1980
Seller: Richard Sylvanus Williams (Est 1976), WINTERTON, United Kingdom
Card. Condition: VG. Colin Clayton (front cover) (illustrator).
Published by GB, 1981
Seller: Richard Sylvanus Williams (Est 1976), WINTERTON, United Kingdom
Card. Condition: VG. Tony Watts (front cover) (illustrator).
ISBN 13: 9798324616267
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
ISBN 13: 9798324616267
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: 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.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Language: English
Published by Society For Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Seller: Revaluation Books, Exeter, United Kingdom
Paperback / Softback. Condition: Brand New. 292 pages. 10.08x7.01x0.94 inches. In Stock.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Publication Date: 1981
Seller: Richard Sylvanus Williams (Est 1976), WINTERTON, United Kingdom
Card. Condition: VG. A.V. Watts (front cover) (illustrator).
Language: English
Published by SIAM - Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2022
ISBN 10: 1611976871 ISBN 13: 9781611976878
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: 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.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 137.84
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 137.84
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 272.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Sparse Grids and Applications - Miami 2016 | Jochen Garcke (u. a.) | Taschenbuch | Lecture Notes in Computational Science and Engineering | x | Englisch | 2019 | Springer | EAN 9783030092276 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Condition: New.
Language: English
Published by Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030092275 ISBN 13: 9783030092276
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Sparse grids are a popular tool for the numerical treatment of high-dimensional problems. Where classical numerical discretization schemes fail in more than three or four dimensions, sparse grids, in their different flavors, are frequently the method of choice. This volume of LNCSE presents selected papers from the proceedings of the fourth workshop on sparse grids and applications, and demonstrates once again the importance of this numerical discretization scheme. The articles present recent advances in the numerical analysis of sparse grids in connection with a range of applications including computational chemistry, computational fluid dynamics, and big data analytics, to name but a few.
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Sparse grids are a popular tool for the numerical treatment of high-dimensional problems. Where classical numerical discretization schemes fail in more than three or four dimensions, sparse grids, in their different flavors, are frequently the method of choice. This volume of LNCSE presents selected papers from the proceedings of the fourth workshop on sparse grids and applications, and demonstrates once again the importance of this numerical discretization scheme. The articles present recent advances in the numerical analysis of sparse grids in connection with a range of applications including computational chemistry, computational fluid dynamics, and big data analytics, to name but a few.