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Stochastic Finite Element Methods - An Introduction (Hardcover, 1st ed. 2018) Loot Price: R4,139
Discovery Miles 41 390
Stochastic Finite Element Methods - An Introduction (Hardcover, 1st ed. 2018): Vissarion Papadopoulos, Dimitris G. Giovanis

Stochastic Finite Element Methods - An Introduction (Hardcover, 1st ed. 2018)

Vissarion Papadopoulos, Dimitris G. Giovanis

Series: Mathematical Engineering

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Loot Price R4,139 Discovery Miles 41 390 | Repayment Terms: R388 pm x 12*

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The book provides a self-contained treatment of stochastic finite element methods. It helps the reader to establish a solid background on stochastic and reliability analysis of structural systems and enables practicing engineers to better manage the concepts of analysis and design in the presence of uncertainty. The book covers the basic topics of computational stochastic mechanics focusing on the stochastic analysis of structural systems in the framework of the finite element method. The target audience primarily comprises students in a postgraduate program specializing in structural engineering but the book may also be beneficial to practicing engineers and research experts alike.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Mathematical Engineering
Release date: November 2017
First published: 2018
Authors: Vissarion Papadopoulos • Dimitris G. Giovanis
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 138
Edition: 1st ed. 2018
ISBN-13: 978-3-319-64527-8
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General
Books > Computing & IT > Computer software packages > Computer graphics software > General
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LSN: 3-319-64527-7
Barcode: 9783319645278

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