Strong Stability Preserving High Order Time Discretization Methods


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Strong Stability Preserving High-order Time Discretization Methods


Strong Stability Preserving High-order Time Discretization Methods

Author: Sigal Gottlieb

language: en

Publisher:

Release Date: 2000


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In this paper we review and further develop a class of strong-stability preserving (SSP) high-order time discretizations for semi-discrete method-of-lines approximations of partial differential equations. Termed TVD (total variation diminishing) time discretizations before this class of high-order time discretization methods preserves the strong-stability properties of first-order Euler time stepping and has proved very useful especially in solving hyperbolic partial differential equations. The new contributions in this paper include the development of optimal explicit SSP linear Runge-Kutta methods, their application to the strong stability of coercive approximations, a systematic study of explicit SSP multi-step methods, and a study of the strong-stability preserving property of implicit Runge-Kutta and multi-step methods.

Strong Stability Preserving Runge-Kutta and Multistep Time Discretizations


Strong Stability Preserving Runge-Kutta and Multistep Time Discretizations

Author: Sigal Gottlieb

language: en

Publisher: World Scientific

Release Date: 2011


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This book captures the state-of-the-art in the field of Strong Stability Preserving (SSP) time stepping methods, which have significant advantages for the time evolution of partial differential equations describing a wide range of physical phenomena. This comprehensive book describes the development of SSP methods, explains the types of problems which require the use of these methods and demonstrates the efficiency of these methods using a variety of numerical examples. Another valuable feature of this book is that it collects the most useful SSP methods, both explicit and implicit, and presents the other properties of these methods which make them desirable (such as low storage, small error coefficients, large linear stability domains). This book is valuable for both researchers studying the field of time-discretizations for PDEs, and the users of such methods.

Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2014


Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2014

Author: Robert M. Kirby

language: en

Publisher: Springer

Release Date: 2015-11-26


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The book contains a selection of high quality papers, chosen among the best presentations during the International Conference on Spectral and High-Order Methods (2014), and provides an overview of the depth and breadth of the activities within this important research area. The carefully reviewed selection of papers will provide the reader with a snapshot of the state-of-the-art and help initiate new research directions through the extensive biography.