On hybrid and resilient Monte Carlo methods for linear algebra problems

This thesis aims to advance research in the area of Monte Carlo (MC) methods for linear algebra problems. It investigates the efficient application of Markov Chain Monte Carlo methods to matrix inversion, sparse approximate inverse preconditioning and solving of systems of linear algebraic equations...

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Bibliographic Details
Main Author: Straßburg, Janko
Published: University of Reading 2014
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.628535