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Introduction to matrix theory
~
Singh, Arindama.
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Introduction to matrix theory
Record Type:
Electronic resources : Monograph/item
Title/Author:
Introduction to matrix theory/ by Arindama Singh.
Author:
Singh, Arindama.
Published:
Cham :Springer International Publishing : : 2021.,
Description:
ix, 194 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
Matrix Operations -- Systems of Linear Equations -- Matrix as a Linear Map -- Orthogonality -- Eigenvalues and Eigenvectors -- Canonical Forms -- Norms of Matrices -- Short Bibliography -- Index.
Contained By:
Springer Nature eBook
Subject:
Matrices. -
Online resource:
https://doi.org/10.1007/978-3-030-80481-7
ISBN:
9783030804817
Introduction to matrix theory
Singh, Arindama.
Introduction to matrix theory
[electronic resource] /by Arindama Singh. - Cham :Springer International Publishing :2021. - ix, 194 p. :ill. (some col.), digital ;24 cm.
Matrix Operations -- Systems of Linear Equations -- Matrix as a Linear Map -- Orthogonality -- Eigenvalues and Eigenvectors -- Canonical Forms -- Norms of Matrices -- Short Bibliography -- Index.
This book is designed to serve as a textbook for courses offered to undergraduate and postgraduate students enrolled in Mathematics. Using elementary row operations and Gram-Schmidt orthogonalization as basic tools the text develops characterization of equivalence and similarity, and various factorizations such as rank factorization, OR-factorization, Schurtriangularization, Diagonalization of normal matrices, Jordan decomposition, singular value decomposition, and polar decomposition. Along with Gauss-Jordan elimination for linear systems, it also discusses best approximations and least-squares solutions. The book includes norms on matrices as a means to deal with iterative solutions of linear systems and exponential of a matrix. The topics in the book are dealt with in a lively manner. Each section of the book has exercises to reinforce the concepts, and problems have been added at the end of each chapter. Most of these problems are theoretical, and they do not fit into the running text linearly. The detailed coverage and pedagogical tools make this an ideal textbook for students and researchers enrolled in senior undergraduate and beginning postgraduate mathematics courses.
ISBN: 9783030804817
Standard No.: 10.1007/978-3-030-80481-7doiSubjects--Topical Terms:
516894
Matrices.
LC Class. No.: QA188 / .S56 2021
Dewey Class. No.: 512.9434
Introduction to matrix theory
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Matrix Operations -- Systems of Linear Equations -- Matrix as a Linear Map -- Orthogonality -- Eigenvalues and Eigenvectors -- Canonical Forms -- Norms of Matrices -- Short Bibliography -- Index.
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This book is designed to serve as a textbook for courses offered to undergraduate and postgraduate students enrolled in Mathematics. Using elementary row operations and Gram-Schmidt orthogonalization as basic tools the text develops characterization of equivalence and similarity, and various factorizations such as rank factorization, OR-factorization, Schurtriangularization, Diagonalization of normal matrices, Jordan decomposition, singular value decomposition, and polar decomposition. Along with Gauss-Jordan elimination for linear systems, it also discusses best approximations and least-squares solutions. The book includes norms on matrices as a means to deal with iterative solutions of linear systems and exponential of a matrix. The topics in the book are dealt with in a lively manner. Each section of the book has exercises to reinforce the concepts, and problems have been added at the end of each chapter. Most of these problems are theoretical, and they do not fit into the running text linearly. The detailed coverage and pedagogical tools make this an ideal textbook for students and researchers enrolled in senior undergraduate and beginning postgraduate mathematics courses.
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Mathematics and Statistics (SpringerNature-11649)
based on 0 review(s)
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11.線上閱覽_V
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EB QA188 .S56 2021
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