Geometric Partial Differential Equations - Part I - 1st Edition - ISBN: 9780444640031

Geometric Partial Differential Equations - Part I, Volume 21

1st Edition

Series Volume Editors: Andrea Bonito Ricardo Nochetto
Hardcover ISBN: 9780444640031
Imprint: North Holland
Published Date: 10th January 2020
Page Count: 500
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Table of Contents

Preface - Volume 21
Andrea Bonito and R. H. Nochetto
1. Numerical methods for the Laplace-Beltrami operator
Andrea Bonito, Alan Demlow and R. H. Nochetto
2. Parametric Finite Element Approximations of Curvature Driven Interface Evolution
Harald Garcke, John W. Barrett and Robert Nürnberg
3. Level-set methods and geometric PDEs
James Sethian
4. Phase field methods and geometric PDEs
Qiang Du
5. Nonlinear plates
S. Bartels
6. Computational Geometry
Max Wardetzky
7. Fully nonlinear PDEs
Michael Neilan
8. Free Boundary Problems in Fluids and Materials
Eberhard Baensch


Description

Besides their intrinsic mathematical interest, geometric partial differential equations (PDEs) are ubiquitous in many scientific, engineering and industrial applications. They represent an intellectual challenge and have received a great deal of attention recently. The purpose of this volume is to provide a missing reference consisting of self-contained and comprehensive presentations. It includes basic ideas, analysis and applications of state-of-the-art fundamental algorithms for the approximation of geometric PDEs together with their impacts in a variety of fields within mathematics, science, and engineering.

Key Features

  • About every aspect of computational geometric PDEs is discussed in this and a companion volume. Topics in this volume include stationary and time-dependent surface PDEs for geometric flows, large deformations of nonlinearly geometric plates and rods, level set and phase field methods and applications, free boundary problems, discrete Riemannian calculus and morphing, fully nonlinear PDEs including Monge-Ampere equations, and PDE constrained optimization
  • Each chapter is a complete essay at the research level but accessible to junior researchers and students. The intent is to provide a comprehensive description of algorithms and their analysis for a specific geometric PDE class, starting from basic concepts and concluding with interesting applications. Each chapter is thus useful as an introduction to a research area as well as a teaching resource, and provides numerous pointers to the literature for further reading
  • The authors of each chapter are world leaders in their field of expertise and skillful writers. This book is thus meant to provide an invaluable, readable and enjoyable account of computational geometric PDEs

Readership

Mathematically trained research scientists and engineers with basic knowledge in partial differential equations and their numerical approximations


Details

No. of pages:
500
Language:
English
Copyright:
© North Holland 2020
Published:
10th January 2020
Imprint:
North Holland
Hardcover ISBN:
9780444640031

Ratings and Reviews


About the Series Volume Editors

Andrea Bonito Series Volume Editor

Andrea Bonito is professor in the Department of Mathematics at Texas A&M University. Together with Ricardo H. Nochetto they have more than forty years of experience in the variational formulation and approximation of a wide range of geometric partial differential equations (PDEs). Their work encompass fundamental studies of numerical PDEs: the design, analysis and implementation of efficient numerical algorithms for the approximation of PDEs; and their applications in modern engineering, science, and bio-medical problems.

Affiliations and Expertise

Department of Mathematics, Texas A&M University, USA

Ricardo Nochetto Series Volume Editor

Ricardo H. Nochetto is professor in the Department of Mathematics and the Institute for Physical Science and Technology at the University of Maryland, College Park. Together with Andrea Bonito they have more than forty years of experience in the variational formulation and approximation of a wide range of geometric partial differential equations (PDEs). Their work encompass fundamental studies of numerical PDEs: the design, analysis and implementation of efficient numerical algorithms for the approximation of PDEs; and their applications in modern engineering, science, and bio-medical problems.

Affiliations and Expertise

Institute for Physical Science and Technology, University of Maryland, USA