Implicit-Explicit Methods for Evolutionary Partial Differential Equations

Implicit-Explicit Methods for Evolutionary Partial Differential Equations
Author :
Publisher : SIAM
Total Pages : 334
Release :
ISBN-10 : 9781611978209
ISBN-13 : 1611978203
Rating : 4/5 (203 Downloads)

Book Synopsis Implicit-Explicit Methods for Evolutionary Partial Differential Equations by : Sebastiano Boscarino

Download or read book Implicit-Explicit Methods for Evolutionary Partial Differential Equations written by Sebastiano Boscarino and published by SIAM. This book was released on 2024-12-12 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implicit-explicit (IMEX) time discretization methods have proven to be highly effective for the numerical solution of a wide class of evolutionary partial differential equations (PDEs) across various contexts. These methods have become mainstream for solving evolutionary PDEs, particularly in the fields of hyperbolic and kinetic equations. The first book on the subject, Implicit-Explicit Methods for Evolutionary Partial Differential Equations provides an in-depth yet accessible approach. The authors summarize and illustrate the construction, analysis, and application of IMEX methods using examples, test cases, and implementation details; guide readers through the various methods and teach them how to select and use the one most appropriate for their needs; and demonstrate how to identify stiff terms and effectively implement high-order methods in time for a variety of systems of PDEs. Readers interested in learning modern techniques for the effective numerical solution of evolutionary PDEs with multiple time scales will find in this book a unified, compact, and accessible treatment. This book is intended for applied mathematicians, scientists, and engineers who use or are interested in learning about IMEX schemes. Readers should have some background in numerical methods for ODE systems and basic finite difference and finite volume discretization of evolutionary PDEs, along with a basic understanding of the relevant mathematical models. The book is suitable for students who have had a basic course in numerical analysis and are familiar with partial differential equations.


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