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Introduction to computational linear algebra / Nabil Nassif, Jocelyne Erhel and Bernard Philippe.

By: Contributor(s): Material type: TextTextPublication details: Boca Raton : CRC Press, ©2015.Description: xxiii, 235 p. : illustrations ; 24 cmISBN:
  • 9781482258691 (hardcover : acidfree paper)
Subject(s): DDC classification:
  • 512.5 23 N268
Contents:
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; Index.
Summary: 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 students.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 512.5 N268 (Browse shelf(Opens below)) Available 136922
Total holds: 0

Includes bibliographical references and index.

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;
Index.

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 students.

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