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Decomposition Methods for Differential Equations: Theory and Applications (Chapman & Hall/CRC Numerical Analysis And Scientific Computing)

Juergen Geiser

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Description:Decomposition Methods for Differential Theory and Applications describes the analysis of numerical methods for evolution equations based on temporal and spatial decomposition methods. It covers real-life problems, the underlying decomposition and discretization, the stability and consistency analysis of the decomposition methods, and numerical results. The book focuses on the modeling of selected multi-physics problems, before introducing decomposition analysis. It presents time and space discretization, temporal decomposition, and the combination of time and spatial decomposition methods for parabolic and hyperbolic equations. The author then applies these methods to numerical problems, including test examples and real-world problems in physical and engineering applications. For the computational results, he uses various software tools, such as MATLAB®, R3T , WIAS-HiTNIHS, and OPERA-SPLITT . Exploring iterative operator-splitting methods, this book shows how to use higher-order discretization methods to solve differential equations. It discusses decomposition methods and their effectiveness, combination possibility with discretization methods, multi-scaling possibilities, and stability to initial and boundary values problems.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Decomposition Methods for Differential Equations: Theory and Applications (Chapman & Hall/CRC Numerical Analysis And Scientific Computing). To get started finding Decomposition Methods for Differential Equations: Theory and Applications (Chapman & Hall/CRC Numerical Analysis And Scientific Computing), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 1439810966

Description: Decomposition Methods for Differential Theory and Applications describes the analysis of numerical methods for evolution equations based on temporal and spatial decomposition methods. It covers real-life problems, the underlying decomposition and discretization, the stability and consistency analysis of the decomposition methods, and numerical results. The book focuses on the modeling of selected multi-physics problems, before introducing decomposition analysis. It presents time and space discretization, temporal decomposition, and the combination of time and spatial decomposition methods for parabolic and hyperbolic equations. The author then applies these methods to numerical problems, including test examples and real-world problems in physical and engineering applications. For the computational results, he uses various software tools, such as MATLAB®, R3T , WIAS-HiTNIHS, and OPERA-SPLITT . Exploring iterative operator-splitting methods, this book shows how to use higher-order discretization methods to solve differential equations. It discusses decomposition methods and their effectiveness, combination possibility with discretization methods, multi-scaling possibilities, and stability to initial and boundary values problems.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Decomposition Methods for Differential Equations: Theory and Applications (Chapman & Hall/CRC Numerical Analysis And Scientific Computing). To get started finding Decomposition Methods for Differential Equations: Theory and Applications (Chapman & Hall/CRC Numerical Analysis And Scientific Computing), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Decomposition Methods for Differential Equations: Theory and Applications (Chapman & Hall/CRC Numerical Analysis And Scientific Computing)

Decomposition Methods for Differential Equations: Theory and Applications (Chapman & Hall/CRC Numerical Analysis And Scientific Computing)

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