Preconditioned descent algorithms for p-Laplacian

Huang, Y.Q. and Li, Ruo and Liu, Steve Wenbin (2007) Preconditioned descent algorithms for p-Laplacian. Journal of Scientific Computing, 32 (2). pp. 343-371. ISSN 0885-7474. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not available from this repository. (Contact us about this Publication)
Official URL


In this paper, we examine some computational issues on finite element discretization of the p-Laplacian. We introduced a class of descent methods with multi-grid finite element preconditioners. and carried Out convergence analysis. We showed that their convergence rate is mesh-independent. We studied the behavior of the algorithms with large p. Our numerical tests show that these algorithms are able to solve large scale p-Laplacian with very large p. The algorithms are then used to solve a variational inequality.

Item Type: Article
Uncontrolled keywords: highly degenerate p-Laplacian; finite element approximation; preconditioned steepest descent algorithms; variational inequalities
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Faculties > Social Sciences > Kent Business School
Depositing User: Stephen Holland
Date Deposited: 19 Dec 2007 19:25
Last Modified: 23 Jun 2014 11:03
Resource URI: (The current URI for this page, for reference purposes)
  • Depositors only (login required):


Downloads per month over past year