Verlag: SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976502 ISBN 13: 9781611976502
Sprache: Englisch
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In den WarenkorbZustand: New. *Prive HAS BEEN REDUCED by 10% until Monday, Oct. 20 (SALE ITEM)* 439 pp., paperback, NEW!!! - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Verlag: SIAM - Society for Industrial and Applied Mathematics, Philadelphia, 2021
ISBN 10: 1611976502 ISBN 13: 9781611976502
Sprache: Englisch
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In den WarenkorbOriginal decorated wrappers. Zustand: New. First Edition. In original shrinkwrap. ; Octavo; 437 pages.
Verlag: SIAM - Society for Industrial and Applied Mathematics, Philadelphia, 2021
ISBN 10: 1611976502 ISBN 13: 9781611976502
Sprache: Englisch
Anbieter: Literary Cat Books, Machynlleth, Powys, WALES, Vereinigtes Königreich
Verbandsmitglied: IOBA
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In den WarenkorbOriginal decorated wrappers. Zustand: New. First Edition. In original shrinkwrap. Ew ; Octavo; 437 pages.
Verlag: SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976502 ISBN 13: 9781611976502
Sprache: Englisch
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Verlag: Society For Industrial & Applied Mathematics,U.S., 2021
ISBN 10: 1611976502 ISBN 13: 9781611976502
Sprache: Englisch
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In den WarenkorbPaperback / Softback. Zustand: Brand New. 437 pages. 10.28x7.05x1.18 inches. In Stock.
Verlag: Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10: 1611976502 ISBN 13: 9781611976502
Sprache: Englisch
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: New. This textbook presents a special solution of underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the total number of entries. This is called sparse solution. As underdetermined linear systems can be very different, the authors explain how to compute a sparse solution by many approaches.Sparse Solutions of Underdetermined Linear Systems:Contains 72 algorithms for finding sparse solutions of underdetermined linear systems and their applications for matrix completion, graph clustering, and phase retrieval.Provides a detailed explanation of these algorithms including derivations and convergence analysis.Includes exercises for each chapter to help the reader understand the material.This textbook is appropriate for graduate students in math and applied math, computer science, statistics, data science, and engineering. Advisors and postdocs will also find the book of interest.It is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.
Verlag: SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976502 ISBN 13: 9781611976502
Sprache: Englisch
Anbieter: Books Puddle, New York, NY, USA
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In den WarenkorbZustand: New.
Verlag: SIAM - Society for Industrial and Applied Mathematics, 2021
ISBN 10: 1611976502 ISBN 13: 9781611976502
Sprache: Englisch
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Verlag: Society for Industrial and Applied Mathematics,U.S., US, 2021
ISBN 10: 1611976502 ISBN 13: 9781611976502
Sprache: Englisch
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 116,25
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In den WarenkorbPaperback. Zustand: New. This textbook presents a special solution of underdetermined linear systems where the number of nonzero entries in the solution is very small compared to the total number of entries. This is called sparse solution. As underdetermined linear systems can be very different, the authors explain how to compute a sparse solution by many approaches.Sparse Solutions of Underdetermined Linear Systems:Contains 72 algorithms for finding sparse solutions of underdetermined linear systems and their applications for matrix completion, graph clustering, and phase retrieval.Provides a detailed explanation of these algorithms including derivations and convergence analysis.Includes exercises for each chapter to help the reader understand the material.This textbook is appropriate for graduate students in math and applied math, computer science, statistics, data science, and engineering. Advisors and postdocs will also find the book of interest.It is appropriate for the following courses: Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory.