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Published by Dover Publications 2003-06-30, 2003
ISBN 10: 0486428184 ISBN 13: 9780486428185
Language: English
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Published by Dover Publications 7/17/2012, 2012
ISBN 10: 0486428184 ISBN 13: 9780486428185
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Add to basketPaperback or Softback. Condition: New. Stochastic Finite Elements: A Spectral Approach, Revised Edition. Book.
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Published by Dover Publications Inc. Jun 2003, 2003
ISBN 10: 0486428184 ISBN 13: 9780486428185
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware - This text analyzes a class of discrete mathematical models of engineering systems, identifying key issues and reviewing relevant theoretical concepts, with particular attention to a spectral approach. 1991 edition.
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Add to basketKartoniert / Broschiert. Condition: New. Inhaltsverzeichnisrnrn1 INTRODUCTIONn 1.1 Motivationn 1.2 Review of Available Techniquesn 1.3 The Mathematical Modeln 1.4 Outlinen2 REPRESENTATION OF STOCHASTIC PROCESSESn 2.1 Preliminary Remarksn 2.2 Review of the Theoryn 2.3 Karhunen-L.
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Published by Mineola, Dover, 2003
Language: German
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Add to basketOriginalbroschur. 19cm, Condition: Wie neu. IX,222 Seiten. We offer a lot of books on PHYSICS and MATHEMATICS on stock in EXCELLENT shape). In excellent shape. Sprache: Deutsch Gewicht in Gramm: 300.
Published by Dover Publications Inc., 2012
ISBN 10: 0486428184 ISBN 13: 9780486428185
Language: English
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Published by Springer, New York, NY, 1990
ISBN 10: 0387974563 ISBN 13: 9780387974569
Language: English
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Add to basketCloth. Condition: Fine. 214 pp. Tightly bound. Corners not bumped. Text is free of markings.
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Published by Springer-Verlag New York Inc., New York, NY, 2011
ISBN 10: 1461277957 ISBN 13: 9781461277958
Language: English
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Add to basketPaperback. Condition: new. Paperback. This monograph considers engineering systems with random parame ters. Its context, format, and timing are correlated with the intention of accelerating the evolution of the challenging field of Stochastic Finite Elements. The random system parameters are modeled as second order stochastic processes defined by their mean and covari ance functions. Relying on the spectral properties of the covariance function, the Karhunen-Loeve expansion is used' to represent these processes in terms of a countable set of un correlated random vari ables. Thus, the problem is cast in a finite dimensional setting. Then, various spectral approximations for the stochastic response of the system are obtained based on different criteria. Implementing the concept of Generalized Inverse as defined by the Neumann Ex pansion, leads to an explicit expression for the response process as a multivariate polynomial functional of a set of un correlated random variables. Alternatively, the solution process is treated as an element in the Hilbert space of random functions, in which a spectral repre sentation in terms of the Polynomial Chaoses is identified. In this context, the solution process is approximated by its projection onto a finite subspace spanned by these polynomials. Implementing the concept of Generalized Inverse as defined by the Neumann Ex pansion, leads to an explicit expression for the response process as a multivariate polynomial functional of a set of un correlated random variables. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer-Verlag New York Inc., New York, NY, 2011
ISBN 10: 1461277957 ISBN 13: 9781461277958
Language: English
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Add to basketPaperback. Condition: new. Paperback. This monograph considers engineering systems with random parame ters. Its context, format, and timing are correlated with the intention of accelerating the evolution of the challenging field of Stochastic Finite Elements. The random system parameters are modeled as second order stochastic processes defined by their mean and covari ance functions. Relying on the spectral properties of the covariance function, the Karhunen-Loeve expansion is used' to represent these processes in terms of a countable set of un correlated random vari ables. Thus, the problem is cast in a finite dimensional setting. Then, various spectral approximations for the stochastic response of the system are obtained based on different criteria. Implementing the concept of Generalized Inverse as defined by the Neumann Ex pansion, leads to an explicit expression for the response process as a multivariate polynomial functional of a set of un correlated random variables. Alternatively, the solution process is treated as an element in the Hilbert space of random functions, in which a spectral repre sentation in terms of the Polynomial Chaoses is identified. In this context, the solution process is approximated by its projection onto a finite subspace spanned by these polynomials. Implementing the concept of Generalized Inverse as defined by the Neumann Ex pansion, leads to an explicit expression for the response process as a multivariate polynomial functional of a set of un correlated random variables. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Springer, 1990
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Add to basketHardcover. Condition: Good. Dust Jacket Condition: No Dustjacket. Later Edition. ISBN . Hardback. No dustjacket. Chinese International edition . A tight sound copy with minimal wear with some chinese character ink stamps around the books outer edges . Not a cut rate edition, this has a quality cloth covers and quality sewn binding. . This book is Stochastic Finite Elements: A Spectral Approach. No Signature.
Published by Springer-Verlag New York Inc., 2011
ISBN 10: 1461277957 ISBN 13: 9781461277958
Language: English
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