Domain Decomposition Methods for the Numerical Solution of Partial Differential Equations
Domain decomposition methods are divide and conquer methods for the parallel and computational solution of partial differential equations of elliptic or parabolic type. They include iterative algorithms for solving the discretized equations, techniques for non-matching grid discretizations and techn...
שמור ב:
| מחבר ראשי: | |
|---|---|
| פורמט: | Livre numérique |
| שפה: | Anglais |
| יצא לאור: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| סדרה: | Lecture Notes in Computational Science and Engineering
61 |
| נושאים: | |
| גישה מקוונת: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| הערה: |
L'impression du document génère 774 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Domain decomposition methods for the numerical solution of partial differential equations, Tarek P.A. Mathew, Berlin, Springer, 2008, 1 vol.(XIII-764 p.), Lecture notes in computational science and engineering, 978-3-540-77205-7 |
תוכן הענינים:
- Decomposition Frameworks Schwarz Iterative Algorithms Schur Complement and Iterative Substructuring Algorithms Lagrange Multiplier Based Substructuring: FETI Method Computational Issues and Parallelization Least Squares-Control Theory: Iterative Algorithms Multilevel and Local Grid Refinement Methods Non-Self Adjoint Elliptic Equations: Iterative Methods Parabolic Equations Saddle Point Problems Non-Matching Grid Discretizations Heterogeneous Domain Decomposition Methods Fictitious Domain and Domain Imbedding Methods Variational Inequalities and Obstacle Problems Maximum Norm Theory Eigenvalue Problems Optimization Problems Helmholtz Scattering Problem