Computational methods large scale (62 risultati)

Hardcover. Condizione: Good. No Dust Jacket. Hardcover. No jacket. Ex-library. Several marks and scores on boards. Shelflabels on spine foot. Leading corners, edges and spine ends are slightly worn and bumped. Library stamps on page block, title page, copyright page, rear pastedown and in the volume. Library plate on front pastedown. Sticker residue on FEP. Pen and sticker residue on copyright page. Binding is intact, contents are clear. AM. Ex-Library.…

Condizione: Bon. Solving Large-Scale Problems in Mechanics: The Development and Application of Computational Solution Methods | Manolis Papadrakakis | Wiley and sons, 1993. In°-8 cartonné, 472 pages. Couverture propre. Un accroc en pied. Dos solide. Intérieur frais. Exemplaire de bibliothèque : petit code barre en pied de 1re de couv., cotation au dos, rares et discrets petits tampons à l'intérieur de l'ouvrage. Bon état général pour cet exemplaire. [Phi12+] Pour les expéditions internationales, nous consulter au préalable pour l ajustement des frais de port qui seront peut-être revus à la baisse/ For international shipments, please contact us in advance to adjust shipping costs. |. …

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Condizione: New. pp. x + 383.

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Condizione: New. pp. x + 383 Illus.

Condizione: Gut. Zustand: Gut | Seiten: 488 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condizione: As New. Unread book in perfect condition.

Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 488 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book is thesecond volume of three volume series recording the "Radon Special Semester 2011 on Multiscale Simulation & Analysis in Energy and the Environment" taking place in Linz, Austria, October 3-7, 2011. The volume addresses the common.…

Condizione: Used. pp. x + 383.

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is the second volume of a three volume series recording the 'Radon Special Semester 2011 on Multiscale Simulation & Analysis in Energy and the Environment' that took placein Linz, Austria, October 3-7, 2011. This volume addresses the common ground in the mathematical and computational procedures required for large-scale inverse problems and data assimilation in forefront applications. The solution of inverse problems is fundamental to a wide variety of applications such as weather forecasting, medical tomography, and oil exploration. Regularisation techniques are needed to ensure solutions of sufficient quality to be useful, and soundly theoretically based. This book addresses the common techniques required for all the applications, and is thus truly interdisciplinary. This collection of survey articles focusses on the large inverse problems commonly arising in simulation and forecasting in the earth sciences. For example, operational weather forecasting models have between 107 and 108 degrees of freedom. Even so, these degrees of freedom represent grossly space-time averaged properties of the atmosphere. Accurate forecasts require accurate initial conditions. With recent developments in satellite data, there are between 106 and 107 observations each day. However, while these also represent space-time averaged properties, the averaging implicit in the measurements is quite different from that used in the models. In atmosphere and ocean applications, there is a physically-based model available which can be used to regularise the problem. We assume that there is a set of observations with known error characteristics available over a period of time. The basic deterministic technique is to fit a model trajectory to the observations over a period of time to within the observation error. Since the model is not perfect the model trajectory has to be corrected, which defines the data assimilation problem. The stochastic view can be expressed by using an ensemble of model trajectories, and calculating corrections to both the mean value and the spread which allow the observations to be fitted by each ensemble member. In other areas of earth science, only the structure of the model formulation itself is known and the aim is to use the past observation history to determine the unknown model parameters. The book records the achievements of Workshop 2 'Large-Scale Inverse Problems and Applications in the Earth Sciences'. It involves experts in the theory of inverse problems together with experts working on both theoretical and practical aspects of the techniques by which large inverse problems arise in the earth sciences.…

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Hardcover. Condizione: Brand New. illustrated edition. 250 pages. 9.50x6.75x0.75 inches. In Stock.

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Hardcover. Condizione: Brand New. 396 pages. 9.25x6.50x1.00 inches. In Stock.

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Condizione: New. In English.