9783030364670 - numerical linear algebra and matrix factorizations: 22 (texts in computational science and engineering, 22) de lyche (17 resultados)
Idioma: Inglés
Editorial: Springer 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Editorial: Springer Nature Switzerland AG, CH 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Hardback. Condición: New. 2020 ed.
Idioma: Inglés
Editorial: Springer 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Editorial: Springer 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Editorial: Springer 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Condición: New. pp. XXIII, 371 181 illus., 37 illus. in color. With online files/update. 1 Edition.
Idioma: Inglés
Editorial: Springer Nature Switzerland AG, CH 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Hardback. Condición: New. 2020 ed. After reading this book, students should be able to analyze computational problems in linear algebra such as linear systems, least squares- and eigenvalue problems, and to develop their own algorithms for solving them. Since these problems can be large and difficult to handle, much can be gaine…d by understanding and taking advantage of special structures. This in turn requires a good grasp of basic numerical linear algebra and matrix factorizations. Factoring a matrix into a product of simpler matrices is a crucial tool in numerical linear algebra, because it allows us to tackle complex problems by solving a sequence of easier ones. The main characteristics of this book are as follows: It is self-contained, only assuming that readers have completed first-year calculus and an introductory course on linear algebra, and that they have some experience with solving mathematical problems on a computer. The book provides detailed proofs of virtually all results.Further, its respective parts can be used independently, making it suitable for self-study. The book consists of 15 chapters, divided into five thematically oriented parts. The chapters are designed for a one-week-per-chapter, one-semester course. To facilitate self-study, an introductory chapter includes a brief review of linear algebra.
Idioma: Inglés
Editorial: Springer 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Hardcover. Condición: Brand New. 396 pages. 9.25x6.10x1.14 inches. In Stock.
Idioma: Inglés
Editorial: Springer, Springer VS 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - After reading this book, students should be able to analyze computational problems in linear algebra such as linear systems, least squares- and eigenvalue problems, and to develop their own algorithms for solving them. Since these problems can be large an…d difficult to handle, much can be gained by understanding and taking advantage of special structures. This in turn requires a good grasp of basic numerical linear algebra and matrix factorizations. Factoring a matrix into a product of simpler matrices is a crucial tool in numerical linear algebra, because it allows us to tackle complex problems by solving a sequence of easier ones. The main characteristics of this book are as follows: It is self-contained, only assuming that readers have completed first-year calculus and an introductory course on linear algebra, and that they have some experience with solving mathematical problems on a computer. The book provides detailed proofs of virtually all results.Further, its respective parts can be used independently, making it suitable for self-study. The book consists of 15 chapters, divided into five thematically oriented parts. The chapters are designed for a one-week-per-chapter, one-semester course. To facilitate self-study, an introductory chapter includes a brief review of linear algebra.
Idioma: Inglés
Editorial: Springer 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Hardcover. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Editorial: Springer International Publishing Mrz 2020 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -After reading this book, students should be able to analyze computational problems in linear algebra such as linear systems, least squares- and eigenvalue problems, and to develop their own algorithms for solving them. Since these problems… can be large and difficult to handle, much can be gained by understanding and taking advantage of special structures. This in turn requires a good grasp of basic numerical linear algebra and matrix factorizations. Factoring a matrix into a product of simpler matrices is a crucial tool in numerical linear algebra, because it allows us to tackle complex problems by solving a sequence of easier ones. The main characteristics of this book are as follows: It is self-contained, only assuming that readers have completed first-year calculus and an introductory course on linear algebra, and that they have some experience with solving mathematical problems on a computer. The book provides detailed proofs of virtually all results. Further, its respective parts can be used independently, making it suitable for self-study. The book consists of 15 chapters, divided into five thematically oriented parts. The chapters are designed for a one-week-per-chapter, one-semester course. To facilitate self-study, an introductory chapter includes a brief review of linear algebra. 396 pp. Englisch.
Idioma: Inglés
Editorial: Springer 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condición: new. Questo è un articolo print on demand.
Idioma: Inglés
Editorial: Springer 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND pp. XXIII, 371 181 illus., 37 illus. in color. With online files/update.
Idioma: Inglés
Editorial: Springer International Publishing 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Librería: moluna, Greven, , Alemaniamoluna
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Detailed proofs of practically all results making it suitable for self-studyDetailed algorithms in MatlabThe book is self-contained, assuming only first year calculusDetailed proofs of practically all result…s m.
Idioma: Inglés
Editorial: Springer 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Librería: Majestic Books, Hounslow, , Reino UnidoMajestic Books
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Condición: New. Print on Demand pp. XXIII, 371 181 illus., 37 illus. in color. With online files/update.
Idioma: Inglés
Editorial: Springer, Springer VS Mär 2020 2020
Serie: Texts in Computational Science and Engineering, Libro 26 de 29. Libro 26 de 29 - Texts in Computational Science and Engineering
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -After reading this book, students should be able to analyze computational problems in linear algebra such as linear systems, least squares- and eigenvalue problems, and to develop their own algorithms for solving them.Since these problems can…be large and difficult to handle, much can be gained by understanding and taking advantage of special structures. This in turn requires a good grasp of basic numerical linear algebra and matrix factorizations. Factoring a matrix into a product of simpler matrices is a crucial tool in numerical linear algebra, because it allows us to tackle complex problems by solving a sequence of easier ones.The main characteristics of this book are as follows:It is self-contained, only assuming that readers have completed first-year calculus and an introductory course on linear algebra, and that they have some experience with solving mathematical problems on a computer. The book provides detailed proofs of virtually all results.Further, its respective parts can be used independently, making it suitable for self-study.The book consists of 15 chapters, divided into five thematically oriented parts. The chapters are designed for a one-week-per-chapter, one-semester course. To facilitate self-study, an introductory chapter includes a brief review of linear algebra.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 396 pp. Englisch.
