Matrix And Linear Algebra Aided With Matlab

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Matrix And Linear Algebra, Edition 2

Matrix And Linear Algebra, Edition 2
Author :
Publisher : PHI Learning Pvt. Ltd.
Total Pages : 666
Release :
ISBN-10 : 9788120336186
ISBN-13 : 8120336186
Rating : 4/5 (186 Downloads)

Book Synopsis Matrix And Linear Algebra, Edition 2 by : Datta, Kanti Bhushan

Download or read book Matrix And Linear Algebra, Edition 2 written by Datta, Kanti Bhushan and published by PHI Learning Pvt. Ltd.. This book was released on 2008-07-30 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book, renamed Matrix and Linear Algebra: Aided with MATLAB, is a completely re-organized, thoroughly revised and fully updated version of the author’s earlier book Matrix and Linear Algebra. This second edition of the well-received textbook, propelled by the motivation of introducing MATLAB for the study of the numerical aspect of matrix theory, has been developed after taking into account the recent changes in university syllabi, additional pedagogic features needed, as well as the latest developments in the subject areas of Matrix Algebra and Linear Algebra. The use of MATLAB macros throughout the book is the most interesting feature of this edition. Besides, the second edition significantly improves the coverage of all major topics in the two allied subject areas, such as the topics on matrices, determinants, vector spaces, bilinear transformations, and numerical techniques, that were presented in the first edition. New to the Second Edition  Sections on  MATLAB operations (at the end of most chapters)  Square root, sine, cosine, and logarithm of a matrix  Solution of vector-matrix differential equations  Extensively revised presentation of a section on decomposition of root subspaces  Enhanced discussion of many existing topics  Increased numbers of chapter-end problems and worked-out examples  Many redrawn figures for greater clarity  An exhaustive Solutions Manual for instructors teaching this subject. The book is highly suitable for undergraduate and postgraduate students of Mathematics, Statistics, and all engineering disciplines. It will also be a useful reference for researchers and professionals in these fields.


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