## Abstract This paper concludes one part of the local convergence analysis of a certain class of iterative aggregation–disaggregation methods for computing a stationary probability distribution vector of an irreducible stochastic matrix __B__. We show that the local convergence of the algorithm is
Physiology and pathology of iterative aggregation–disaggregation methods
✍ Scribed by I. Pultarová; I. Marek
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 256 KB
- Volume
- 18
- Category
- Article
- ISSN
- 1070-5325
- DOI
- 10.1002/nla.820
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
An aggregation/disaggregation iterative algorithm for computing stationary probability vectors of stochastic matrices is analysed. Two convergence results are presented. First, it is shown that fast, global convergence can be achieved provided that a sufficiently high number of relaxations is perfor
## Abstract Notch proteins encode a family of transmembrane receptors that are part of a signalling transduction system known as Notch signalling, an extremely conserved and widely used mechanism regulating programs governing growth, apoptosis and differentiation in metazoans. Notch signalling begi