Unified frameworks for high order Newton-Schulz and Richardson iterations: a computationally efficient toolkit for convergence rate improvement
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Publication:2318331
DOI10.1007/s12190-018-01229-8zbMath1468.65032OpenAlexW2907757649WikidataQ128647806 ScholiaQ128647806MaRDI QIDQ2318331
Publication date: 14 August 2019
Published in: Journal of Applied Mathematics and Computing (Search for Journal in Brave)
Full work available at URL: https://research.chalmers.se/en/publication/33a8fdf6-0803-45e4-8a58-88b27a793f11
ill-conditioned matrixNeumann seriesleast squares estimationpolynomial preconditioningRichardson iterationstrictly diagonally dominant matrixsymmetric positive definite matrixcomputationally efficient matrix inversion algorithmharmonic regressorhigh order Newton-Schulz algorithmmatrix power series factorizationsimultaneous calculations
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