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Introduction to computational linear algebra /

Introduction to Computational Linear Algebra introduces the reader with a background in basic mathematics and computer programming to the fundamentals of dense and sparse matrix computations with illustrating examples. The textbook is a synthesis of conceptual and practical topics in ""Mat...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Nassif, Nabil
Otros Autores: Erhel, Jocelyne, 1956-, Philippe, B.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, Taylor & Francis Group, [2015]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Introduction to computational linear algebra /  |c Nabil Nassif, American University of Beirut, Lebanon, Jocelyne Erhel, INRIA, Rennes, France, Bernard Philippe, INRIA, Rennes, France. 
246 3 0 |a Computational linear algebra 
264 1 |a Boca Raton :  |b CRC Press, Taylor & Francis Group,  |c [2015] 
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504 |a Includes bibliographical references and index. 
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505 0 |a Front Cover; Contents; Preface; About the Authors; List of Figures; List of Tables; List of Algorithms; Chapter 1: Basic Linear Algebra Subprograms BLAS; Chapter 2: Basic Concepts for Matrix Computations; Chapter 3: Gauss Elimination and LU Decompositions of Matrices; Chapter 4: Orthogonal Factorizations and Linear Least Squares Problems; Chapter 5: Algorithms for the Eigenvalue Problem; Chapter 6: Iterative Methods for Systems of Linear Equations; Chapter 7: Sparse Systems to Solve Poisson Di erential Equations; Bibliography; Back Cover. 
520 |a Introduction to Computational Linear Algebra introduces the reader with a background in basic mathematics and computer programming to the fundamentals of dense and sparse matrix computations with illustrating examples. The textbook is a synthesis of conceptual and practical topics in ""Matrix Computations."" The book's learning outcomes are twofold: to understand state-of-the-art computational tools to solve matrix computations problems (BLAS primitives, MATLAB® programming) as well as essential mathematical concepts needed to master the topics of numerical linear algebra. It is suitable for s 
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700 1 |a Philippe, B. 
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