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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2001
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/math/0105168 |
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Table of Contents:
- This paper is to explore a model of the ABS Algorithms for dealing with a class of systems of linear stochastic equations A xi=eta satisfying eta sim N_m(v, I_{m}). It is shown that the iteration step alpha_{i} is N(V,π) and approximation solutions is xi_{i} \sim N_n(U,Σ) for this algorithm model. And some properties of (V,π)$ and $(U,Σ) are given.