Moving Frames for the Numerical Solution of Partial Differential Equations in Complex Domains | Computation Using Orthonormal Basis Vectors. Questo articolo non è disponibile.
Lingua: inglese
Editore: Springer, 2025
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Descrizione dell’articolo da parte del venditore
Moving Frames for the Numerical Solution of Partial Differential Equations in Complex Domains | Computation Using Orthonormal Basis Vectors | Sehun Chun | Buch | Springer Asia Pacific Mathematics Series | xvii | Englisch | 2025 | Springer | EAN 9789819544943 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Codice articolo 134384603
- Titolo
- Moving Frames for the Numerical Solution of Partial Differential Equations in Complex Domains | Computation Using Orthonormal Basis Vectors
- Autore
- Sehun Chun
- Editore
- Springer
- Anno di pubblicazione
- 2025
- Condizione
- Neu
- Rilegatura
- Buch
- Lingua
- inglese
- ISBN 10
- 9819544947
- ISBN 13
- 9789819544943
- Peso dell'articolo
- 569 grammi
- Dimensioni
- 241 x 160 x 21 mm
- Cataloghi dei venditori
- Bücher
This book presents a comprehensive and geometrical approach to solving partial differential equations (PDEs) on complex curved domains using orthonormal moving frames. Rooted in Élie Cartan’s classical theory but adapted for computational practicality, the framework aligns local basis vectors with the intrinsic geometry and anisotropy of the domain, enabling accurate and efficient discretization without requiring explicit metric tensors or Christoffel symbols. Topics include the construction of moving frames on general manifolds, covariant derivatives via connection 1-forms, and frame-based formulations of gradient, divergence, curl, and Laplacian operators. Extensive MATLAB and C++ implementations (via Nektar++) are provided for benchmark problems in diffusion-reaction systems, shallow water equations, and Maxwell’s equations on complex surfaces such as the sphere, pseudosphere, and atrial tissue. Emphasizing clarity and accessibility, the book blends theory, visualization, and numerical practice, making it an essential resource for graduate students and researchers in scientific computing, applied mathematics, and engineering disciplines dealing with PDEs on non-Euclidean domains.
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Informazioni sull’autore
Sehun Chun is an associate professor of Applied Mathematics at Yonsei University.
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