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Idioma: Inglés
Publicado por Dover Publications 7/17/2012, 2012
ISBN 10: 0486428184 ISBN 13: 9780486428185
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Añadir al carritoPaperback or Softback. Condición: New. Stochastic Finite Elements: A Spectral Approach, Revised Edition. Book.
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Idioma: Inglés
Publicado por Dover Publications Inc., US, 2003
ISBN 10: 0486428184 ISBN 13: 9780486428185
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Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de America
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Añadir al carritoCondición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Idioma: Inglés
Publicado por Dover Publications Inc., New York, 2003
ISBN 10: 0486428184 ISBN 13: 9780486428185
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Añadir al carritoPaperback. Condición: new. Paperback. Discrepancies frequently occur between a physical system's responses and predictions obtained from mathematical models. The Spectral Stochastic Finite Element Method (SSFEM) has proven successful at forecasting a variety of uncertainties in calculating system responses. This text analyses a class of discrete mathematical models of engineering systems, identifying key issues and reviewing relevant theoretical concepts, with particular attention to a spectral approach.Random system parameters are modeled as second-order stochastic processes, defined by their mean and covariance functions. Relying on the spectral properties of the covariance function, the Karhunen-Loeve expansion is employed to represent these processes in terms of a countable set of uncorrected random variables, casting the problem in a finite dimensional setting. Various spectral approximations for the stochastic response of the system are obtained. Implementing the concept of generalized inverse leads to an explicit expression for the response process as a multivariate polynomial functional of a set of uncorrelated random variables. Alternatively, the solution process is treated as an element in the Hilbert space of random functions, in which a spectral representation is identified in terms of polynomial chaos. In this context, the solution process is approximated by its projection onto a finite subspace spanned by these polynomials. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por Dover Publications Inc., US, 2003
ISBN 10: 0486428184 ISBN 13: 9780486428185
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. revised edition. 222 pages. 8.25x5.25x0.75 inches. In Stock.
Idioma: Inglés
Publicado por Dover Publications 2003-06-30, 2003
ISBN 10: 0486428184 ISBN 13: 9780486428185
Librería: Chiron Media, Wallingford, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Idioma: Inglés
Publicado por Dover Publications, Incorporated, 2012
ISBN 10: 0486428184 ISBN 13: 9780486428185
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 240.
Idioma: Inglés
Publicado por Dover Publications, Incorporated, 2012
ISBN 10: 0486428184 ISBN 13: 9780486428185
Librería: Majestic Books, Hounslow, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Idioma: Inglés
Publicado por Dover Publications Inc, 2003
ISBN 10: 0486428184 ISBN 13: 9780486428185
Librería: Anybook.com, Lincoln, Reino Unido
EUR 21,63
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Añadir al carritoCondición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,350grams, ISBN:9780486428185.
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Añadir al carritoSoft Cover. Condición: New. Estado de la sobrecubierta: No Cover. Revised.
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Idioma: Inglés
Publicado por Dover Publications Inc., US, 2003
ISBN 10: 0486428184 ISBN 13: 9780486428185
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
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Librería: moluna, Greven, Alemania
EUR 17,41
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Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Dover Publications Jul 2012, 2012
ISBN 10: 0486428184 ISBN 13: 9780486428185
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 20,25
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Añadir al carritoTaschenbuch. Condición: 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.
Idioma: Inglés
Publicado por Dover Publications Inc., US, 2003
ISBN 10: 0486428184 ISBN 13: 9780486428185
Librería: Rarewaves.com UK, London, Reino Unido
EUR 16,26
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por Dover Publications Inc., 2012
ISBN 10: 0486428184 ISBN 13: 9780486428185
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 17,12
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Publicado por Dover Publications Inc., New York, 2003
ISBN 10: 0486428184 ISBN 13: 9780486428185
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 27,62
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Discrepancies frequently occur between a physical system's responses and predictions obtained from mathematical models. The Spectral Stochastic Finite Element Method (SSFEM) has proven successful at forecasting a variety of uncertainties in calculating system responses. This text analyses a class of discrete mathematical models of engineering systems, identifying key issues and reviewing relevant theoretical concepts, with particular attention to a spectral approach.Random system parameters are modeled as second-order stochastic processes, defined by their mean and covariance functions. Relying on the spectral properties of the covariance function, the Karhunen-Loeve expansion is employed to represent these processes in terms of a countable set of uncorrected random variables, casting the problem in a finite dimensional setting. Various spectral approximations for the stochastic response of the system are obtained. Implementing the concept of generalized inverse leads to an explicit expression for the response process as a multivariate polynomial functional of a set of uncorrelated random variables. Alternatively, the solution process is treated as an element in the Hilbert space of random functions, in which a spectral representation is identified in terms of polynomial chaos. In this context, the solution process is approximated by its projection onto a finite subspace spanned by these polynomials. 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Publicado por Dover Publications Inc., New York, 2003
ISBN 10: 0486428184 ISBN 13: 9780486428185
Librería: CitiRetail, Stevenage, Reino Unido
EUR 22,59
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Discrepancies frequently occur between a physical system's responses and predictions obtained from mathematical models. The Spectral Stochastic Finite Element Method (SSFEM) has proven successful at forecasting a variety of uncertainties in calculating system responses. This text analyses a class of discrete mathematical models of engineering systems, identifying key issues and reviewing relevant theoretical concepts, with particular attention to a spectral approach.Random system parameters are modeled as second-order stochastic processes, defined by their mean and covariance functions. Relying on the spectral properties of the covariance function, the Karhunen-Loeve expansion is employed to represent these processes in terms of a countable set of uncorrected random variables, casting the problem in a finite dimensional setting. Various spectral approximations for the stochastic response of the system are obtained. Implementing the concept of generalized inverse leads to an explicit expression for the response process as a multivariate polynomial functional of a set of uncorrelated random variables. Alternatively, the solution process is treated as an element in the Hilbert space of random functions, in which a spectral representation is identified in terms of polynomial chaos. In this context, the solution process is approximated by its projection onto a finite subspace spanned by these polynomials. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.