Lai ming jun wang yang (6 Ergebnisse)

Sprache: Englisch
Verlag: SIAM - Society for Industrial and Applied Mathematics, 2021
- Softcover
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EUR 28,60
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Zustand: New. *Price HAS BEEN REDUCED by 10% until Monday, Aug. 24 (weekend 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 reci…pient's country.

Sprache: Englisch
Verlag: SIAM - Society for Industrial and Applied Mathematics, Philadelphia, 2021
- Softcover
- Erstausgabe
Anbieter: Literary Cat Books, Machynlleth, Powys, WALES, Vereinigtes KönigreichLiterary Cat Books
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Original decorated wrappers. Zustand: New. No Dust Jacket. First Edition. In original shrinkwrap.; Octavo; 437 pages.

Sprache: Englisch
Verlag: SIAM - Society for Industrial and Applied Mathematics, Philadelphia, 2021
- Softcover
- Erstausgabe
Anbieter: Literary Cat Books, Machynlleth, Powys, WALES, Vereinigtes KönigreichLiterary Cat Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenVerbandsmitglied: IOBA
Zustand: Neu
EUR 38,95
EUR 17,51 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Original decorated wrappers. Zustand: New. No Dust Jacket. First Edition. In original shrinkwrap. Ew; Octavo; 437 pages.

Sprache: Englisch
Verlag: Society For Industrial & Applied Mathematics,U.S., 2021
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 94,01
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Paperback / Softback. Zustand: Brand New. 437 pages. 10.28x7.05x1.18 inches. In Stock.

Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics,U.S., US, 2021
- Softcover
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes KönigreichRarewaves.com USA
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EUR 109,30
Versand gratisVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Paperback. 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 comput…e 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.

Sprache: Englisch
Verlag: Society for Industrial and Applied Mathematics,U.S., US, 2021
- Softcover
Anbieter: Rarewaves.com UK, London, Vereinigtes KönigreichRarewaves.com UK
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 103,40
EUR 75,87 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Paperback. 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 comput…e 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.