Stochastic approximation-solvability of linear random equations involving numerical ranges

Ram U. Verma

International Journal of Stochastic Analysis, 1997, vol. 10, 1-9

Abstract:

The random (or stochastic) approximation-solvability, based on a projection scheme, of linear random operator equations involving the theory of the numerical range of a bounded linear random operator is considered. The obtained results generalize results with regard to the deterministic approximation-solvability of linear operator equations using the Galerkin convergence method.

Date: 1997
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnijsa:176482

DOI: 10.1155/S104895339700004X

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