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Sparse matrix technology
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ISBN: 0125575807 1322054843 1483270408 Year: 1984 Publisher: London

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Sparse matrices : numerical aspects with applications for scientists and engineers
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ISBN: 074580635X Year: 1989 Publisher: New York, NY : John Wiley,

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Graph theory and sparse matrix computation
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ISBN: 0387941312 3540941312 1461383714 1461383692 Year: 1993 Publisher: New York : Springer-Verlag,

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Algorithms for large scale linear algebraic systems : applications in science and engineering : proceedings of a Nato Advanced Study Institute ... held in Gran Canaria, Spain, 23 June - 6 July 1996

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Sparse matrices
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ISBN: 0126856508 9780126856507 9780080956084 0080956084 1282290215 9781282290211 Year: 1973 Volume: 99 Publisher: New York, NY : Academic Press,

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Sparse matrices


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Krylov subspace methods : principles and analysis
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ISBN: 0198739044 1283713462 0191630322 9780191630323 9781283713467 9780199655410 0199655413 Year: 2013 Publisher: Oxford : Oxford University Press,

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This volume describes the principles and history behind the use of Krylov subspace methods in science and engineering. The outcome of the analysis is very practical and indicates what can and cannot be expected from the use of Krylov subspace methods challenging some common assumptions and justifications of standard approaches.

Direct methods for sparse matrices.
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ISBN: 9780198534211 0198534213 Year: 2003 Publisher: Oxford Clarendon

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Theoretical foundations and numerical methods for sparse recovery
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ISBN: 1282723022 9786612723025 3110226154 Year: 2010 Publisher: Berlin ; New York : De Gruyter,

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The present collection is the very first contribution of this type in the field of sparse recovery. Compressed sensing is one of the important facets of the broader concept presented in the book, which by now has made connections with other branches such as mathematical imaging, inverse problems, numerical analysis and simulation. The book consists of four lecture notes of courses given at the Summer School on "Theoretical Foundations and Numerical Methods for Sparse Recovery" held at the Johann Radon Institute for Computational and Applied Mathematics in Linz, Austria, in September 2009. This unique collection will be of value for a broad community and may serve as a textbook for graduate courses. From the contents: "Compressive Sensing and Structured Random Matrices" by Holger Rauhut "Numerical Methods for Sparse Recovery" by Massimo Fornasier "Sparse Recovery in Inverse Problems" by Ronny Ramlau and Gerd Teschke "An Introduction to Total Variation for Image Analysis" by Antonin Chambolle, Vicent Caselles, Daniel Cremers, Matteo Novaga and Thomas Pock


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Sparse matrices and substructures with a novel implementation of finite element algorithms
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ISBN: 9061961920 Year: 1980 Publisher: Amsterdam

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