Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
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Decomposition Methods for Differential Equations - Theory and Applications (Paperback)
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Decomposition Methods for Differential Equations - Theory and Applications (Paperback)
Series: Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series
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Decomposition Methods for Differential Equations: 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 (R), 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.
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