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hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

hardcover. Condizione: Fine. Connecting readers with great books since 1972! May contain remainder marks. We ship orders daily and Customer Service is our top priority!

Condizione: New.

Condizione: New.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread copy in mint condition.

Condizione: New. Brand New.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Hardback. Condizione: New. The@ first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC). These fast, efficient, and accurate methods are an extension of the classical spectral methods of high-dimensional random spaces. Designed to simulate complex systems subject to random inputs, these methods are widely used in many areas of computer science and engineering. The book introduces polynomial approximation theory and probability theory; describes the basic theory of gPC methods through numerical examples and rigorous development; details the procedure for converting stochastic equations into deterministic ones; using both the Galerkin and collocation approaches; and discusses the distinct differences and challenges arising from high-dimensional problems. The last section is devoted to the application of gPC methods to critical areas such as inverse problems and data assimilation.Ideal for use by graduate students and researchers both in the classroom and for self-study, Numerical Methods for Stochastic Computations provides the required tools for in-depth research related to stochastic computations. * The first graduate-level textbook to focus on the fundamentals of numerical methods for stochastic computations * Ideal introduction for graduate courses or self-study * Fast, efficient, and accurate numerical methods * Polynomial approximation theory and probability theory included * Basic gPC methods illustrated through examples.

Condizione: New.

Condizione: New. 2010. Hardcover. Focusing on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC). It illustrates through examples Basic gPC methods, and includes polynomial approximation theory and probability theory. Num Pages: 144 pages, 50 line illus. BIC Classification: PBT; UYA. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 242 x 166 x 16. Weight in Grams: 352. . . . . .

Condizione: new.

Hardcover. Condizione: new. New Copy. Customer Service Guaranteed.

Hardback. Condizione: New. The@ first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC). These fast, efficient, and accurate methods are an extension of the classical spectral methods of high-dimensional random spaces. Designed to simulate complex systems subject to random inputs, these methods are widely used in many areas of computer science and engineering. The book introduces polynomial approximation theory and probability theory; describes the basic theory of gPC methods through numerical examples and rigorous development; details the procedure for converting stochastic equations into deterministic ones; using both the Galerkin and collocation approaches; and discusses the distinct differences and challenges arising from high-dimensional problems. The last section is devoted to the application of gPC methods to critical areas such as inverse problems and data assimilation.Ideal for use by graduate students and researchers both in the classroom and for self-study, Numerical Methods for Stochastic Computations provides the required tools for in-depth research related to stochastic computations. * The first graduate-level textbook to focus on the fundamentals of numerical methods for stochastic computations * Ideal introduction for graduate courses or self-study * Fast, efficient, and accurate numerical methods * Polynomial approximation theory and probability theory included * Basic gPC methods illustrated through examples.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New. 2010. Hardcover. Focusing on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC). It illustrates through examples Basic gPC methods, and includes polynomial approximation theory and probability theory. Num Pages: 144 pages, 50 line illus. BIC Classification: PBT; UYA. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 242 x 166 x 16. Weight in Grams: 352. . . . . . Books ship from the US and Ireland.

Condizione: New. pp. xii + 125 Illus.

Condizione: New. pp. xii + 125.

Hardcover. Condizione: Brand New. 125 pages. 9.25x6.25x0.50 inches. In Stock.

Hardback. Condizione: New. The@ first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC). These fast, efficient, and accurate methods are an extension of the classical spectral methods of high-dimensional random spaces. Designed to simulate complex systems subject to random inputs, these methods are widely used in many areas of computer science and engineering. The book introduces polynomial approximation theory and probability theory; describes the basic theory of gPC methods through numerical examples and rigorous development; details the procedure for converting stochastic equations into deterministic ones; using both the Galerkin and collocation approaches; and discusses the distinct differences and challenges arising from high-dimensional problems. The last section is devoted to the application of gPC methods to critical areas such as inverse problems and data assimilation.Ideal for use by graduate students and researchers both in the classroom and for self-study, Numerical Methods for Stochastic Computations provides the required tools for in-depth research related to stochastic computations. * The first graduate-level textbook to focus on the fundamentals of numerical methods for stochastic computations * Ideal introduction for graduate courses or self-study * Fast, efficient, and accurate numerical methods * Polynomial approximation theory and probability theory included * Basic gPC methods illustrated through examples.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. The@ first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC). These fast, efficient, and accurate methods are an extension of the classical spectral methods of high-dimensional random spaces. Designed to simulate complex systems subject to random inputs, these methods are widely used in many areas of computer science and engineering. The book introduces polynomial approximation theory and probability theory; describes the basic theory of gPC methods through numerical examples and rigorous development; details the procedure for converting stochastic equations into deterministic ones; using both the Galerkin and collocation approaches; and discusses the distinct differences and challenges arising from high-dimensional problems. The last section is devoted to the application of gPC methods to critical areas such as inverse problems and data assimilation.Ideal for use by graduate students and researchers both in the classroom and for self-study, Numerical Methods for Stochastic Computations provides the required tools for in-depth research related to stochastic computations. * The first graduate-level textbook to focus on the fundamentals of numerical methods for stochastic computations * Ideal introduction for graduate courses or self-study * Fast, efficient, and accurate numerical methods * Polynomial approximation theory and probability theory included * Basic gPC methods illustrated through examples.