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Master PDEs with IMEX: Efficient methods for complex evolutionary equations.
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Implicit-Explicit Methods for Evolutionary Partial Differential Equations

RRP$184.71

$168.79

  • Paperback

    324 pages

  • Release Date

    29 April 2025

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Summary

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 accessib…

Book Details

ISBN-13:9781611978193
ISBN-10:161197819X
Author:Sebastiano Boscarino, Lorenzo Pareschi, Giovanni Russo
Publisher:Society for Industrial & Applied Mathematics,U.S.
Imprint:Society for Industrial & Applied Mathematics,U.S.
Format:Paperback
Number of Pages:324
Release Date:29 April 2025
Series:Mathematical Modeling and Computation
About The Author

Sebastiano Boscarino

Sebastiano Boscarino is associate professor of numerical analysis in the Department of Mathematics and Computer Science at the University of Catania, Italy. He has published numerous research papers on IMEX methods and semi-implicit methods for evolutionary partial differential equations and their applications. His research interests include numerical methods for stiff problems, conservation laws, hyperbolic systems with relaxation, kinetic equations, and semi-Lagrangian methods for kinetic equations.

Lorenzo Pareschi is chair of applied and computational mathematics at the School of Mathematics, Heriot-Watt University, Edinburgh, UK and Professor of Numerical Analysis, University of Ferrara, Italy. The results of his research activity are reported in more than 200 scientific publications and five books. His research interests cover a wide range of topics in applied and computational mathematics, mostly related to multiscale modeling and numerical methods for phenomena described by nonlinear partial differential equations, in particular, hyperbolic and mean-field/kinetic equations.

Giovanni Russo is a professor of numerical analysis in the department of mathematics and computer science at the University of Catania, Italy. The results of his research activity are reported in more than 150 scientific publications and three books. His research interests include computational fluid dynamics; numerical methods for kinetic equations; evolutionary partial differential equations; IMEX methods; level set methods; crystal growth: multiscale modeling and numerics; and, more recently, structure and dynamics of complex networks.

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