High Order Nonlinear Numerical Schemes for Evolutionary PDEs

High Order Nonlinear Numerical Schemes for Evolutionary PDEs
Title High Order Nonlinear Numerical Schemes for Evolutionary PDEs PDF eBook
Author Rémi Abgrall
Publisher Springer
Pages 220
Release 2014-05-19
Genre Mathematics
ISBN 3319054554

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This book collects papers presented during the European Workshop on High Order Nonlinear Numerical Methods for Evolutionary PDEs (HONOM 2013) that was held at INRIA Bordeaux Sud-Ouest, Talence, France in March, 2013. The central topic is high order methods for compressible fluid dynamics. In the workshop, and in this proceedings, greater emphasis is placed on the numerical than the theoretical aspects of this scientific field. The range of topics is broad, extending through algorithm design, accuracy, large scale computing, complex geometries, discontinuous Galerkin, finite element methods, Lagrangian hydrodynamics, finite difference methods and applications and uncertainty quantification. These techniques find practical applications in such fields as fluid mechanics, magnetohydrodynamics, nonlinear solid mechanics, and others for which genuinely nonlinear methods are needed.

Numerical Methods for Evolutionary Differential Equations

Numerical Methods for Evolutionary Differential Equations
Title Numerical Methods for Evolutionary Differential Equations PDF eBook
Author Uri M. Ascher
Publisher SIAM
Pages 403
Release 2008-09-04
Genre Mathematics
ISBN 0898716527

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Develops, analyses, and applies numerical methods for evolutionary, or time-dependent, differential problems.

Recent Advances in Numerical Methods for Hyperbolic PDE Systems

Recent Advances in Numerical Methods for Hyperbolic PDE Systems
Title Recent Advances in Numerical Methods for Hyperbolic PDE Systems PDF eBook
Author María Luz Muñoz-Ruiz
Publisher Springer Nature
Pages 269
Release 2021-05-25
Genre Mathematics
ISBN 3030728501

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The present volume contains selected papers issued from the sixth edition of the International Conference "Numerical methods for hyperbolic problems" that took place in 2019 in Málaga (Spain). NumHyp conferences, which began in 2009, focus on recent developments and new directions in the field of numerical methods for hyperbolic partial differential equations (PDEs) and their applications. The 11 chapters of the book cover several state-of-the-art numerical techniques and applications, including the design of numerical methods with good properties (well-balanced, asymptotic-preserving, high-order accurate, domain invariant preserving, uncertainty quantification, etc.), applications to models issued from different fields (Euler equations of gas dynamics, Navier-Stokes equations, multilayer shallow-water systems, ideal magnetohydrodynamics or fluid models to simulate multiphase flow, sediment transport, turbulent deflagrations, etc.), and the development of new nonlinear dispersive shallow-water models. The volume is addressed to PhD students and researchers in Applied Mathematics, Fluid Mechanics, or Engineering whose investigation focuses on or uses numerical methods for hyperbolic systems. It may also be a useful tool for practitioners who look for state-of-the-art methods for flow simulation.

Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018

Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
Title Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018 PDF eBook
Author Spencer J. Sherwin
Publisher Springer Nature
Pages 637
Release 2020-08-11
Genre Mathematics
ISBN 3030396479

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This open access book features a selection of high-quality papers from the presentations at the International Conference on Spectral and High-Order Methods 2018, offering an overview of the depth and breadth of the activities within this important research area. The carefully reviewed papers provide a snapshot of the state of the art, while the extensive bibliography helps initiate new research directions.

Meshfree Methods for Partial Differential Equations VII

Meshfree Methods for Partial Differential Equations VII
Title Meshfree Methods for Partial Differential Equations VII PDF eBook
Author Michael Griebel
Publisher Springer
Pages 323
Release 2014-12-02
Genre Mathematics
ISBN 3319068989

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Meshfree methods, particle methods, and generalized finite element methods have witnessed substantial development since the mid 1990s. The growing interest in these methods is due in part to the fact that they are extremely flexible numerical tools and can be interpreted in a number of ways. For instance, meshfree methods can be viewed as a natural extension of classical finite element and finite difference methods to scattered node configurations with no fixed connectivity. Furthermore, meshfree methods offer a number of advantageous features which are especially attractive when dealing with multiscale phenomena: a priori knowledge about particular local behavior of the solution can easily be introduced in the meshfree approximation space, and coarse-scale approximations can be seamlessly refined with fine-scale information. This volume collects selected papers presented at the Seventh International Workshop on Meshfree Methods, held in Bonn, Germany in September 2013. They address various aspects of this highly dynamic research field and cover topics from applied mathematics, physics and engineering.

Meshfree Methods for Partial Differential Equations IX

Meshfree Methods for Partial Differential Equations IX
Title Meshfree Methods for Partial Differential Equations IX PDF eBook
Author Michael Griebel
Publisher Springer
Pages 208
Release 2019-06-19
Genre Mathematics
ISBN 3030151190

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This volume collects selected papers presented at the Ninth International Workshop on Meshfree Methods held in Bonn, Germany in September 2017. They address various aspects of this very active research field and cover topics from applied mathematics, physics and engineering. The numerical treatment of partial differential equations with meshfree discretization techniques has been a very active research area in recent years. While the fundamental theory of meshfree methods has been developed and considerable advances of the various methods have been made, many challenges in the mathematical analysis and practical implementation of meshfree methods remain. This symposium aims to promote collaboration among engineers, mathematicians, and computer scientists and industrial researchers to address the development, mathematical analysis, and application of meshfree and particle methods especially to multiscale phenomena. It continues the 2-year-cycled Workshops on Meshfree Methods for Partial Differential Equations.

Geometrically Unfitted Finite Element Methods and Applications

Geometrically Unfitted Finite Element Methods and Applications
Title Geometrically Unfitted Finite Element Methods and Applications PDF eBook
Author Stéphane P. A. Bordas
Publisher Springer
Pages 371
Release 2018-03-13
Genre Mathematics
ISBN 3319714317

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This book provides a snapshot of the state of the art of the rapidly evolving field of integration of geometric data in finite element computations. The contributions to this volume, based on research presented at the UCL workshop on the topic in January 2016, include three review papers on core topics such as fictitious domain methods for elasticity, trace finite element methods for partial differential equations defined on surfaces, and Nitsche’s method for contact problems. Five chapters present original research articles on related theoretical topics, including Lagrange multiplier methods, interface problems, bulk-surface coupling, and approximation of partial differential equations on moving domains. Finally, two chapters discuss advanced applications such as crack propagation or flow in fractured poroelastic media. This is the first volume that provides a comprehensive overview of the field of unfitted finite element methods, including recent techniques such as cutFEM, traceFEM, ghost penalty, and augmented Lagrangian techniques. It is aimed at researchers in applied mathematics, scientific computing or computational engineering.