An Abs Algorithm for a Class of Systems of Stochastic Linear Equations
| dc.creator | Han, Hai-Shan | |
| dc.creator | Del Popolo, Antonino | |
| dc.creator | Xia, Zun-Quan | |
| dc.date | 2009-01-26 | |
| dc.date.accessioned | 2026-07-07T12:34:34Z | |
| dc.date.available | 2026-07-07T12:34:34Z | |
| dc.description | This paper is to explore a model of the ABS Algorithms dealing with the solution of a class of systems of linear stochastic equations $Aξ=η$ when $η$ is a $m$-dimensional normal distribution. It is shown that the stepsize $α_i$ is distributed as $N(u_i,σ_i)$ (being $u_i$ the expected value of $α_i$ and $σ_i$ its variance) and the approximation to the solutions $ξ_{i}$ is distributed as $N_n(U_i,Σ_i)$ (being $U_i$ the expected value of $ξ_i$ and $Σ_i$ its variance), for this algorithm model. | |
| dc.description | 14 pages; in prin in JAMC (Journal of Applied Mathematics and Computing) | |
| dc.identifier | https://arxiv.org/abs/0901.4036 | |
| dc.identifier | http://arxiv.org/abs/0901.4036 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/217481 | |
| dc.subject | Instrumentation and Methods for Astrophysics | |
| dc.title | An Abs Algorithm for a Class of Systems of Stochastic Linear Equations | |
| dc.type | text |