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Author: Juergen Geiser Publisher: CRC Press ISBN: 1439869839 Category : Mathematics Languages : en Pages : 325
Book Description
Iterative Splitting Methods for Differential Equations explains how to solve evolution equations via novel iterative-based splitting methods that efficiently use computational and memory resources. It focuses on systems of parabolic and hyperbolic equations, including convection-diffusion-reaction equations, heat equations, and wave equations.In th
Author: Juergen Geiser Publisher: CRC Press ISBN: 1439869839 Category : Mathematics Languages : en Pages : 325
Book Description
Iterative Splitting Methods for Differential Equations explains how to solve evolution equations via novel iterative-based splitting methods that efficiently use computational and memory resources. It focuses on systems of parabolic and hyperbolic equations, including convection-diffusion-reaction equations, heat equations, and wave equations.In th
Author: Helge Holden Publisher: European Mathematical Society ISBN: 9783037190784 Category : Mathematics Languages : en Pages : 238
Book Description
Operator splitting (or the fractional steps method) is a very common tool to analyze nonlinear partial differential equations both numerically and analytically. By applying operator splitting to a complicated model one can often split it into simpler problems that can be analyzed separately. In this book one studies operator splitting for a family of nonlinear evolution equations, including hyperbolic conservation laws and degenerate convection-diffusion equations. Common for these equations is the prevalence of rough, or non-smooth, solutions, e.g., shocks. Rigorous analysis is presented, showing that both semi-discrete and fully discrete splitting methods converge. For conservation laws, sharp error estimates are provided and for convection-diffusion equations one discusses a priori and a posteriori correction of entropy errors introduced by the splitting. Numerical methods include finite difference and finite volume methods as well as front tracking. The theory is illustrated by numerous examples. There is a dedicated Web page that provides MATLABR codes for many of the examples. The book is suitable for graduate students and researchers in pure and applied mathematics, physics, and engineering.
Author: Roland Glowinski Publisher: Springer ISBN: 3319415891 Category : Mathematics Languages : en Pages : 822
Book Description
This book is about computational methods based on operator splitting. It consists of twenty-three chapters written by recognized splitting method contributors and practitioners, and covers a vast spectrum of topics and application areas, including computational mechanics, computational physics, image processing, wireless communication, nonlinear optics, and finance. Therefore, the book presents very versatile aspects of splitting methods and their applications, motivating the cross-fertilization of ideas.
Author: Are Magnus Bruaset Publisher: Routledge ISBN: 1351469371 Category : Mathematics Languages : en Pages : 175
Book Description
The problem of solving large, sparse, linear systems of algebraic equations is vital in scientific computing, even for applications originating from quite different fields. A Survey of Preconditioned Iterative Methods presents an up to date overview of iterative methods for numerical solution of such systems. Typically, the methods considered are w
Author: Juergen Geiser Publisher: CRC Press ISBN: 1439810974 Category : Mathematics Languages : en Pages : 320
Book Description
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 num
Author: Juergen Geiser
Author: Juergen Geiser
Author: Helge Holden
Author: Jürgen Geiser
Author: Jürgen Geiser
Author: Uri M. Ascher
Author: Roland Glowinski
Author: Jürgen Geiser
Author: Are Magnus Bruaset
Author: Juergen Geiser
Author: Dragan Dimitrovski