Parallel computation of a Krylov matrix for a sparse and structured input
β Scribed by V.Y. Pan
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 204 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0895-7177
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π SIMILAR VOLUMES
In this paper, we propose a new method to efficiently compute a representation of an orthogonal basis of the nullspace of a sparse matrix operator B T with B β R nΓm , n > m. We assume that B has full rank, i.e., rank(B) = m. It is well known that the last nm columns of the orthogonal matrix Q in a
## Abstract The main purpose of this work is to present a new parallel direct solver: __Dissection__ solver. It is based on __LU__ factorization of the sparse matrix of the linear system and allows to detect automatically and handle properly the zeroβenergy modes, which are important when dealing w