𝔖 Bobbio Scriptorium
✦   LIBER   ✦

An in-core/out-of-core method for solving large scale assignment problems

✍ Scribed by U. Derigs; A. Metz


Publisher
Springer
Year
1986
Tongue
English
Weight
600 KB
Volume
30
Category
Article
ISSN
0340-9422

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Very Large Electronic Structure Calculat
✍ Sivan Toledo; Eran Rabani πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 122 KB

We present an out-of-core filter-diagonalization method which can be used to solve very large electronic structure problems within the framework of the oneelectron pseudopotential-based methods. The approach is based on the following three steps. First, nonorthogonal states in a desired energy range

An accelerated successive orthogonal pro
✍ J.M. MartΓ­nez πŸ“‚ Article πŸ“… 1988 πŸ› Elsevier Science 🌐 English βš– 390 KB

## Communicated by E. Y. Rodin Al~ract--We consider linear feasibility problems in the "standard" form Ax = b, I ~< x ~< u. The successive orthogonal projections method may be used for solving this problem using sparse orthogonal factorizations techniques for computing the projections on Ax = b. W

MULTILEVEL AGGREGATION METHOD FOR SOLVIN
✍ V. E. BULGAKOV; M. V. BELYI; K. M. MATHISEN πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 415 KB πŸ‘ 2 views

In this paper a novel iterative method of multilevel type for solving large-scale generalized eigenvalue problems encountered in structural dynamics is presented. A preconditioned iterative technique, which can be viewed as a modification of the Subspace Iteration method, is used for simultaneous ca

Implementation of parallel GMRES(m) FFT
✍ Ming Zhang; Tat Soon Yeo; Le Wei Li πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 390 KB

## Abstract In this article, the parallel restarted generalized minimum residual [GMRES(m)] scheme has been implemented to solve large scale multilevel block Toeplitz matrix equations. The parallel fast Fourier transform has been used to accelerate the matrix‐vector multiplications in the iterative