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Introduction to Matrix Theory (Hardcover, 1st ed. 2021) Loot Price: R2,386
Discovery Miles 23 860
Introduction to Matrix Theory (Hardcover, 1st ed. 2021): Arindama Singh

Introduction to Matrix Theory (Hardcover, 1st ed. 2021)

Arindama Singh

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Loot Price R2,386 Discovery Miles 23 860 | Repayment Terms: R224 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: August 2021
First published: 2021
Authors: Arindama Singh
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 194
Edition: 1st ed. 2021
ISBN-13: 978-3-03-080480-0
Languages: English
Subtitles: English
Categories: Books > Science & Mathematics > Physics > General
Books > Science & Mathematics > Mathematics > Algebra > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
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LSN: 3-03-080480-1
Barcode: 9783030804800

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