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200401 ||| eng |
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|a 9783030364687
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|a Lyche, Tom
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| 245 |
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|a Numerical Linear Algebra and Matrix Factorizations
|h Elektronische Ressource
|c by Tom Lyche
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| 250 |
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|a 1st ed. 2020
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2020, 2020
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| 300 |
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|a XXIII, 371 p. 181 illus., 37 illus. in color
|b online resource
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| 505 |
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|a A Short Review of Linear Algebra -- LU and QR Factorizations -- Eigenpairs and Singular Values -- Matrix Norms and Least Squares -- Kronecker Products and Fourier Transforms -- Iterative Methods for Large Linear Systems -- Eigenvalues and Eigenvectors -- Index
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| 653 |
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|a Computational Science and Engineering
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| 653 |
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|a Algorithms
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| 653 |
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|a Algorithms
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| 653 |
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|a Linear and Multilinear Algebras, Matrix Theory
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| 653 |
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|a Algebra
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| 653 |
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|a Computer mathematics
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| 653 |
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|a Numerical analysis
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| 653 |
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|a Numerical Analysis
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| 653 |
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|a Matrix theory
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Texts in Computational Science and Engineering
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| 856 |
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|u https://doi.org/10.1007/978-3-030-36468-7?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 512.5
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| 520 |
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|a 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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