Robust algebraic multilevel methods and algorithms / Johannes Kraus, Svetozar Margenov.

By:

Kraus, Johannes (Johannes K.)

Contributor(s):

Margenov, Svetozar

Material type: Text

TextSeries: Radon series on computational and applied mathematics ; 5.Publication details: Berlin ; New York : Walter De Gruyter, ©2009.Description: 1 online resource (x, 246 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783110214833
3110214830
1282372637
9781282372634
9786612372636
661237263X

Subject(s):

Genre/Form:

Additional physical formats: Print version:: Robust algebraic multilevel methods and algorithms.DDC classification:

512/.5 22

LOC classification:

QA184.2 .K75 2009

Other classification:

SK 500
SK 540
SK 910
SK 920
510

Online resources:

Click here to access online

Contents:

Frontmatter; Contents; 1. Introduction; 2. Algebraic multilevel iteration methods; 3. Robust AMLI algorithms: Conforming linear finite elements; 4. Robust AMLI algorithms: Nonconforming linear finite elements; 5. Schur complement based multilevel preconditioners; 6. Algebraic multigrid (AMG); 7. Preconditioning of Rannacher-Turek nonconforming FE systems; 8. AMLI algorithms for discontinuous Galerkin FE problems; 9. AMLI methods for coupled problems; 10. Practical issues; Backmatter.

Summary: This book deals with algorithms for the solution of linear systems of algebraic equations with large-scale sparse matrices, with a focus on problems that are obtained after discretization of partial differential equations using finite element methods. Provides a systematic presentation of the recent advances in robust algebraic multilevel methods. Can be used for advanced courses on the topic.

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Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references (pages 237-244) and index.

This book deals with algorithms for the solution of linear systems of algebraic equations with large-scale sparse matrices, with a focus on problems that are obtained after discretization of partial differential equations using finite element methods. Provides a systematic presentation of the recent advances in robust algebraic multilevel methods. Can be used for advanced courses on the topic.