Sparse Grid Methods for Higher Dimensional Approximation

Name: Sparse Grid Methods for Higher Dimensional Approximation
Brand: Sudwestdeutscher Verlag Fur Hochschulschriften AG
SKU: 9783838121406
Price: 91.87 EUR
Availability: InStock

Theory and Experiments on Benefits and Limitations of Sparse Grid Approximation Methods and Generalizations to Low Effective Dimensionality

Автор: Christian Feuersänger

Език:

Корици: С меки корици

Издател: Sudwestdeutscher Verlag Fur Hochschulschriften AG

Наличност: Налично при издателя, по поръчка

Изпращаме след 17-27 дни

91.87 € 179.68 лв

Approximation of functions depending on more than three variables is relevant for the simulation of...

Информация за книгата

Автор

Christian Feuersänger

Език

Английски език

Корици

Книга - С меки корици

Издадена

2010

страници

184

EAN

9783838121406

ISBN

3838121406

Enbook ID

06936935

Издател

Sudwestdeutscher Verlag Fur Hochschulschriften AG

Теглоt

288

Размери

152 x 229 x 18

Пълно описание

Approximation of functions depending on more than three variables is relevant for the simulation of dynamic models. Especially stochastic models lead to a wide range of applications like simulation of polymeric liquids, kinetic equations for forces acting on offshore wind parks, or even the pricing of financial products. Sparse Grids have been designed to significantly reduce the cost to approximate high-dimensional functions under certain smoothness conditions. This book presents tools to design and work with Sparse Grids, including construction properties, algorithms, data structures and error estimates. It also discusses inherent limitations and their benefits when it comes to the simulation of stochastic models, namely to the representation of probability density functions. Furthermore, the book reveals new space- and dimension-adaptive Sparse Grids which are suitable for functions that effectively depend on only a few of their input variables.

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Sparse Grid Methods for Higher Dimensional Approximation

Theory and Experiments on Benefits and Limitations of Sparse Grid Approximation Methods and Generalizations to Low Effective Dimensionality

Информация за книгата

Пълно описание

Може също да ви хареса

Клиенти, които купиха тази книга, купиха също