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Tensor Spaces and Numerical Tensor Calculus (Springer Series in Computational Mathematics, Vol. 42) epub

by Wolfgang Hackbusch


Tensor Spaces and Numerical Tensor Calculus (Springer Series in Computational Mathematics, Vol. 42) epub

ISBN: 3642280269

ISBN13: 978-3642280269

Author: Wolfgang Hackbusch

Category: Science

Subcategory: Mathematics

Language: English

Publisher: Springer; 1st edition (February 24, 2012)

Pages: 500 pages

ePUB book: 1759 kb

FB2 book: 1130 kb

Rating: 4.8

Votes: 430

Other Formats: rtf lrf lrf lit





The present book Tensor spaces and numerical tensor calculus by Wolfgang Hackbusch to a large . It also gives a comprehensive overview of numerical tensor computations.

The present book Tensor spaces and numerical tensor calculus by Wolfgang Hackbusch to a large extent fills the gap between theory on finite-dimensional tensor spaces and tensor computations. It might also be used as a textbook for a P.

The present book Tensor spaces and numerical tensor calculus by Wolfgang Hackbusch to a large extent . They appear for problems of high spatial dimensions. Since standard methods fail, a particular tensor calculus is needed to treat such problems. The monograph describes the methods how tensors can be practically treated and how numerical operations can be performed.

Start by marking Tensor Spaces and Numerical Tensor Calculus: 42 (Springer Series in Computational .

Start by marking Tensor Spaces and Numerical Tensor Calculus: 42 (Springer Series in Computational Mathematics) as Want to Read: Want to Read savin. ant to Read. xn n^d, where n^d exceeds the computer memory by far.

Электронная книга "Tensor Spaces and Numerical Tensor Calculus", Wolfgang Hackbusch. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Tensor Spaces and Numerical Tensor Calculus" для чтения в офлайн-режиме.

Series: Springer Series in Computational Mathematics 4. 42,. Wolfgang Hackbusch. Tensor Spaces and Numerical Tensor Calculus. This book concerns the development of compression techniques for such high-dimensional data via suitable data sparse representations.

42,. 123. Wolfgang Hackbusch for Mathematics in the Sciences Leipzig Germany. Just as the hierarchical matrix technique was based on a successful application of the low-rank strategy, in recent years, related approaches have been used to solve high-dimensional tensor-based problems numerically.

xn n^d, where n^d exceeds the computer memory by far. Applications are problems from quantum chemistry, approximation of multivariate functions, solution of pde, . About Wolfgang Hackbusch. The author is working in the field of numerical mathematics for partial differential equations and integral equations.

Download books for free. Epub FB2 mobi txt RTF. Converted file can differ from the original. If possible, download the file in its original format.

This book is based on my previous book: Tensor Calculus Made Simple, where the development. This book includes both tensor calculus and differential geometry in a single volume. 41 MB·11,591 Downloads. Tensor algebra and tensor analysis for engineers : with applications to continuum mechanics. 45 MB·1,797 Downloads·New! -Dimensional Space - Vector and Tensor Analysis in Euclidean Space - Curves and Surfaces in Three. Tensor Algebra and Tensor Analysis for Engineers: With Applications to Continuum Mechanics. 74 MB·1,047 Downloads·New!

Springer Series in 42. Computational.

Springer Series in 42. for Mathematics in the Sciences. ISBN 978-3-642-28026-9 e-ISBN 978-3-642-28027-6. some historical remarks and an explanation of the notation. The numerical tools which will be developed for tensors, make use of linear. QR and singular value decomposition).

Special numerical techniques are already needed to deal with nxn matrices for large n.Tensor data are of size nxnx...xn=n^d, where n^d exceeds the computer memory by far. They appear for problems of high spatial dimensions. Since standard methods fail, a particular tensor calculus is needed to treat such problems. The monograph describes the methods how tensors can be practically treated and how numerical operations can be performed. Applications are problems from quantum chemistry, approximation of multivariate functions, solution of pde, e.g., with stochastic coefficients, etc. ​