Sprache: Englisch
Verlag: American Mathematical Society, Providence RI, 1986
ISBN 10: 0821831267 ISBN 13: 9780821831267
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Trade Paperback. Zustand: Good. Zustand des Schutzumschlags: No Dust Jacket. First U.S. Edition. An ex-library copy in original paper covers, with the usual ex-libris markings. The binding is sound, the text is clean/unmarked, and there is little cover wear. Book.
paperback. Zustand: Good. Crease on cover and a few pages*.
Sprache: Englisch
Verlag: Cambridge University Press, 2018
ISBN 10: 1108428754 ISBN 13: 9781108428750
Anbieter: Prior Books Ltd, Cheltenham, Vereinigtes Königreich
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In den WarenkorbHardcover. Zustand: Like New. First Edition. Firm and square with strong joints, just showing a few very minor rubs and bumps. Hence a non-text page is stamped 'damaged'. Despite such this book is actually in nearly new condition. Thus it looks and feels unread with contents that are crisp, fresh and tight. Size: 250mm x 180mm. Pages: xvi, 534. Fully indexed. This self-contained, systematic treatment of multivariate approximation begins with classical linear approximation, and moves on to contemporary nonlinear approximation. It covers substantial new developments in the linear approximation theory of classes with mixed smoothness, and shows how it is directly related to deep problems in other areas of mathematics.
Sprache: Englisch
Verlag: Cambridge University Press, New York, 2011
ISBN 10: 1107003377 ISBN 13: 9781107003378
Anbieter: About Books, Henderson, NV, USA
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Hardcover. Zustand: New. First Edition. New York: Cambridge University Press, 2011. BRAND NEW in PERFECT condition. Sharp corners. NO rubbing. NO fading. Square and tight. NO creases. NO owner's name or bookplate. Crisp, clean and unmarked - obviously never read. Cambridge Monographs on Applied and Computational Mathematics. Bound in the original gray boards, stamped in bright green, white and black. From the rear cover: "This first book on greedy approximation gives a systematic presentation of the fundamental results. It also contains an introduction to two hot topics in numerical mathematics: learning theory and compressed sensing. Nonlinear approximation is becoming increasingly important, especially since two types are frequently employed in applications: adaptive methods are used in PDE solvers, while m-term approximation is used in image/signal/data processing, as well as in the design of neural networks. The fundamental question of nonlinear approximation is how to devise good constructive methods (algorithms) and recent results have established that greedy type algorithms may be the solution. The author has drawn on his own teaching experience to write a book ideally suited to graduate courses. The reader does not require a broad background to understand the material. Important open problems are included to give students and professionals alike ideas for further research.". First Edition. Oversize Hardcover. New/No dust jacket, as issued. 8vo. xiv, 418pp. Great Packaging, Fast Shipping.
Sprache: Englisch
Verlag: American Mathematical Society, Providence RI, 1986
ISBN 10: 0821831267 ISBN 13: 9780821831267
Anbieter: Row By Row Bookshop, Sugar Grove, NC, USA
Trade Paperback. Zustand: Good. Zustand des Schutzumschlags: No Dust Jacket. First U.S. Edition. An ex-library copy in original paper covers. The usual ex-libris markings, clean within. The binding is sound, and there is little wear to the covers. Book.
Zustand: New. pp. 229.
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In den WarenkorbZustand: New. pp. 229.
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Zustand: New.
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Zustand: New. pp. 229.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107003377 ISBN 13: 9781107003378
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In den WarenkorbHardback. Zustand: New. This first book on greedy approximation gives a systematic presentation of the fundamental results. It also contains an introduction to two hot topics in numerical mathematics: learning theory and compressed sensing. Nonlinear approximation is becoming increasingly important, especially since two types are frequently employed in applications: adaptive methods are used in PDE solvers, while m-term approximation is used in image/signal/data processing, as well as in the design of neural networks. The fundamental question of nonlinear approximation is how to devise good constructive methods (algorithms) and recent results have established that greedy type algorithms may be the solution. The author has drawn on his own teaching experience to write a book ideally suited to graduate courses. The reader does not require a broad background to understand the material. Important open problems are included to give students and professionals alike ideas for further research.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107003377 ISBN 13: 9781107003378
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In den WarenkorbHardcover. Zustand: New. In stock ready to dispatch from the UK.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107003377 ISBN 13: 9781107003378
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In den WarenkorbHardcover. Zustand: Very Good. Unread. In stock ready to dispatch from the UK.
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Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107003377 ISBN 13: 9781107003378
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Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107003377 ISBN 13: 9781107003378
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Zustand: Very Good.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107003377 ISBN 13: 9781107003378
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Hardback. Vladimir Temlyakov (University of South Carolina), Cambridge University Press. This first book on greedy approximation gives a systematic presentation of the fundamental results. It also contains an introduction to two hot topics in numerical mathematics: learning theory and compressed sensing. Nonlinear approximation is becoming increasingly important, especially since two types are frequently employed in applications: adaptive methods are used in PDE solvers, while m-term approximation is used in image/signal/data processing, as well as in the design of neural networks. The fundamental question of nonlinear approximation is how to devise good constructive methods (algorithms) and recent results have established that greedy type algorithms may be the solution. The author has drawn on his own teaching experience to write a book ideally suited to graduate courses. The reader does not require a broad background to understand the material. Important open problems are included to give students and professionals alike ideas for further research. Hardback.
Sprache: Englisch
Verlag: American Mathematical Society 01.07.1989., 1989
ISBN 10: 0821831267 ISBN 13: 9780821831267
Anbieter: NEPO UG, Rüsselsheim am Main, Deutschland
Zustand: Gut. 128 Seiten nice book ex Library Sprache: Englisch Gewicht in Gramm: 158 24,8 x 17,0 x 0,8 cm, Taschenbuch.
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In den WarenkorbPaperback. Zustand: Brand New. 232 pages. 9.45x6.61x0.51 inches. In Stock.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107003377 ISBN 13: 9781107003378
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Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107003377 ISBN 13: 9781107003378
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ISBN 10: 1107003377 ISBN 13: 9781107003378
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Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107003377 ISBN 13: 9781107003378
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ISBN 10: 1107003377 ISBN 13: 9781107003378
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ISBN 10: 1107003377 ISBN 13: 9781107003378
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In den WarenkorbZustand: New. Provides the theoretical foundations for algorithms widely used in numerical mathematics. Includes classical results, as well as the latest advances. Series: Cambridge Monographs on Applied and Computational Mathematics. Num Pages: 432 pages, illustrations. BIC Classification: PBKS. Category: (U) Tertiary Education (US: College). Dimension: 160 x 231 x 26. Weight in Grams: 754. . 2011. hardcover. . . . .
Sprache: Englisch
Verlag: Cambridge University Press, GB, 2011
ISBN 10: 1107003377 ISBN 13: 9781107003378
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In den WarenkorbHardback. Zustand: New. This first book on greedy approximation gives a systematic presentation of the fundamental results. It also contains an introduction to two hot topics in numerical mathematics: learning theory and compressed sensing. Nonlinear approximation is becoming increasingly important, especially since two types are frequently employed in applications: adaptive methods are used in PDE solvers, while m-term approximation is used in image/signal/data processing, as well as in the design of neural networks. The fundamental question of nonlinear approximation is how to devise good constructive methods (algorithms) and recent results have established that greedy type algorithms may be the solution. The author has drawn on his own teaching experience to write a book ideally suited to graduate courses. The reader does not require a broad background to understand the material. Important open problems are included to give students and professionals alike ideas for further research.
Sprache: Englisch
Verlag: Cambridge University Press CUP, 2011
ISBN 10: 1107003377 ISBN 13: 9781107003378
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. xiv + 418 Index.
Sprache: Englisch
Verlag: Cambridge University Press, 2011
ISBN 10: 1107003377 ISBN 13: 9781107003378
Anbieter: Kennys Bookstore, Olney, MD, USA
EUR 124,88
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In den WarenkorbZustand: New. Provides the theoretical foundations for algorithms widely used in numerical mathematics. Includes classical results, as well as the latest advances. Series: Cambridge Monographs on Applied and Computational Mathematics. Num Pages: 432 pages, illustrations. BIC Classification: PBKS. Category: (U) Tertiary Education (US: College). Dimension: 160 x 231 x 26. Weight in Grams: 754. . 2011. hardcover. . . . . Books ship from the US and Ireland.