Geometric Partial Differential Equations - Part 2
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...
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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.
Bibliographische Angaben
- Herausgegeben:Bonito, Andrea; Nochetto, Ricardo Horacio
- Verlag: North-Holland
- EAN: 9780444643056
Autoren-Porträt
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.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.
Inhaltsverzeichnis zu „Geometric Partial Differential Equations - Part 2 “
1. Shape and topology optimization Grégoire Allaire, Charles Dapogny, and François Jouve2. Optimal transport: discretization and algorithms Quentin Mérigot and Boris Thibert3. Optimal control of geometric partial differential equations Michael Hintermüller and Tobias Keil4. Lagrangian schemes for Wasserstein gradient flows Jose A. Carrillo, Daniel Matthes, and Marie-Therese Wolfram5. The Q-tensor model with uniaxial constraint Juan Pablo Borthagaray and Shawn W. Walker6. Approximating the total variation with finite differences or finite elements Antonin Chambolle and Thomas Pock7. Numerical simulation and benchmarking of drops and bubbles Stefan Turek and Otto Mierka8. Smooth multi-patch discretizations in isogeometric analysis Thomas J.R. Hughes, Giancarlo Sangalli, Thomas Takacs, and Deepesh Toshniwal
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