9781107003378 - greedy approximation (cambridge monographs on applied and computational mathematics, 20, band 20) von vladimir temlyakov (8 Ergebnisse)
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Hardcover. Zustand: Very Good. Greedy Approximation: 20 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 20) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamag…ed. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
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Hardcover. Zustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are n…ot satisfied. See all our books here, order more than 1 book and get discounted shipping.
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Hardcover. Zustand: Very Good. Unread. In stock ready to dispatch from the UK.
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- Hardcover
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Zustand: New. In.
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EUR 126,22
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Zustand: 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.
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Hardcover. Zustand: Brand New. 1st edition. 432 pages. 9.25x6.25x1.25 inches. In Stock.
- Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 incr…easingly 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. Vladimir Temlyakov guides the reader through the fundamental results and introduces two other hot topics in numerical mathematics: learning theory and compressed sensing. Researchers will welcome this first book on the subject. It is ideal for graduate courses and includes many important open problems that provide ideas for further research.
