000			01788nam a22002057a 4500
003			IN-KoSCC
005			20230311113459.0
008			230220b |||||||| |||| 00| 0 eng d
020			_a9788120352865 _cRs. 1195.00
041			_aeng
082			_222 _a512.896 _bD234Ma
100			_aDatta, Kanti Bhushan
245			_aMatrix and linear Algebra _baided with MATLAB _cKanti Bhushan Datta
250			_a3rd ed.
260			_aDelhi _bPHI Learning _cc2022
300			_a697 p.
505			_aDescription: With the inclusion of applications of singular value decomposition (SVD) and principal component analysis (PCA) to image compression and data analysis, this edition provides a strong foundation of linear algebra needed for a higher study in signal processing. The use of MATLAB in the study of linear algebra for a variety of computational purposes and the programmes provided in this text are the most attractive features of this book which strikingly distinguishes it from the existing linear algebra books needed as pre-requisites for the study of engineering subjects. This book is highly suitable for undergraduate as well as postgraduate students of mathematics, statistics, and all engineering disciplines. The book will also be useful to Ph.D. students for relevant mathematical resources. NEW TO THIS EDITION The Third Edition of this book includes: • Simultaneous diagonalization of two diagonalizable matrices • Comprehensive exposition of SVD with applications in shear analysis in engineering • Polar Decomposition of a matrix • Numerical experimentation with a colour and a black-and-white image compression using MATLAB • PCA methods of data analysis and image compression with a list of MATLAB codes
650			_aMathematics
942			_2ddc _cBK
999			_c41119 _d41119