## Abstract This paper is concerned with the numerical solution of a symmetric indefinite system which is a generalization of the KarushโKuhnโTucker system. Following the recent approach of Lukลกan and Vlฤek, we propose to solve this system by a preconditioned conjugate gradient (PCG) algorithm and
A FETI-preconditioned conjugate gradient method for large-scale stochastic finite element problems
โ Scribed by Debraj Ghosh; Philip Avery; Charbel Farhat
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 226 KB
- Volume
- 80
- Category
- Article
- ISSN
- 0029-5981
- DOI
- 10.1002/nme.2595
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A new conjugate gradient algorithm is presented for extracting eigenvalues from large systems of equations encountered in finite element analysis. The new algorithm involves applying the conjugate gradient method (CGM) to a static problem to generate an equivalent tridiagonal matrix used for eigenva
A two-dimensional ยฎnite element method is developed for large deformation plasticity. Principal axes are used for the description of the material behaviour, and the use of principal logarithmic stretches leads to exact formulae for ยฎnite deformation problems with large elastic and plastic strains. A