Edité par Springer International Publishing AG, 2021
ISBN 10 : 3030364704 ISBN 13 : 9783030364700
Langue: anglais
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Edité par Springer (edition 1st ed. 2020), 2021
ISBN 10 : 3030364704 ISBN 13 : 9783030364700
Langue: anglais
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Ajouter au panierPaperback. Etat : New. 1st ed. 2020. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.
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Edité par Springer (edition 1st ed. 2020), 2021
ISBN 10 : 3030597911 ISBN 13 : 9783030597917
Langue: anglais
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
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Ajouter au panierPaperback. Etat : New. 1st ed. 2020. The item is brand new, never used or read. It's in perfect condition and may include supplements and/or access codes or come shrink-wrapped.
Edité par Springer Nature Switzerland AG, CH, 2021
ISBN 10 : 3030364704 ISBN 13 : 9783030364700
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 38,76
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Ajouter au panierPaperback. Etat : 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 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.
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Edité par Springer Nature Switzerland AG, CH, 2020
ISBN 10 : 3030364674 ISBN 13 : 9783030364670
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 58,33
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Ajouter au panierHardback. Etat : 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 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.
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EUR 58,44
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Ajouter au panierPaperback or Softback. Etat : New. Numerical Linear Algebra and Matrix Factorizations 1.22. Book.
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