Matrix And Linear Algebra : Aided With Matlab
Matrix And Linear Algebra : Aided With Matlab
 ISBN: 9788120336186
 Author: DATTA, KANTI BHUSHAN
 Number of Pages: 636
 Edition: Second Edition
 Availability: In Stock
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About The Book Matrix And Linear Algebra

Book Summary: 
The present book, renamed Matrix and Linear Algebra: Aided with MATLAB, is a completely reorganized, thoroughly revised and fully updated version of the authors earlier book Matrix and Linear Algebra. This second edition of the wellreceived 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 vectormatrix differential equations Extensively revised presentation of a section on decomposition of root subspaces Enhanced discussion of many existing topics Increased numbers of chapterend problems and workedout 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. 
Table of Contents: 
Preface Preface to the First Edition 1 Matrix Algebra 2 Determinants 3 Inverse of a Matrix 4 Rank and Equivalence 5 Vector Space 6 Linear Transformation and Matrices 7 Eigenvalues, Eigenvectors and the Characteristic Equation 8 Bilinear, Quadratic and Hermitian Forms 9 Vector Norms and Matrix Norms 10 Normal Forms 11 Linear Transformations and Normal Forms 12 Function of a Matrix 13 Numerical Linear Algebra Index 