Computational Complexity Differential Integral by Werschulz Arthur (13 results)
- Hardcover
Seller: HPB-Red, Dallas, TX, U.S.A.HPB-Red
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£ 44.89
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hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
Published by Oxford. New York. Tokio. Oxford University Press.
- Hardcover
Seller: Antiquariaat Ovidius, Bredevoort, NetherlandsAntiquariaat Ovidius
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Add to basketCondition: Gebraucht / Used. 1991. Or.cloth. ix,331pp. 8°. Bibliogr. Index. Oxford Mathematical Monographs.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condition: New.
- Hardcover
Seller: Anybook.com, Lincoln, United KingdomAnybook.com
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£ 56.30
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Dust jacket in fair condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,750grams, ISBN:0198535899.
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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£ 72.34
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Condition: As New. Unread book in perfect condition.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Condition: New.
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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£ 64.63
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Condition: New. In.
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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£ 70.90
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Condition: As New. Unread book in perfect condition.
- Hardcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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£ 58.99
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Condition: new. Questo è un articolo print on demand.
- Hardcover
- Print on Demand
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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£ 71.99
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Hardcover
- Print on Demand
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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£ 65.50
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HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Hardcover
- Print on Demand
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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£ 75.12
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Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
- Hardcover
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Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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£ 69.99
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Hardcover. Condition: new. Hardcover. This book is concerned with a central question in numerical analysis: the approximate solution of differential or integral equations by algorithms using incomplete information. This situation often arises for equations of the form Lu = f, where f is some function defined on a domain and L is… a differential operator. The function f may not be given exactly - we might only know its value at a finite number of points in the domain. Consequently the best that can behoped for is to solve the equation to within a given accuracy at minimal cost or complexity.The author develops the theory of the complexity of the solutions to differential andintegral equations and discusses the relationship between the worst-case setting and other (sometimes more tractable) related settings such as the average case, probabilistic, asymptotic, and randomized settings. Furthermore, he studies to what extent standard algorithms (such as finite element methods for elliptic problems) are optimal.This approach is discussed in depth in the context of two-point boundary value problems, linear elliptic partial differential equations,integral equations, ordinary differential equations, and ill-posed problems. As a result, this volume should appeal to mathematicians and numerical analysts working on the approximate solution ofdifferential and integral equations as well as to complexity theorists addressing related questions in this area. This book is concerned with a central question in numerical analysis: how efficient can algorithms be made given only incomplete information about a differential or integral equation? This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
