Matrices By Dr. V. N. Kala, Rajeshri Rana

Matrices By Dr. V. N. Kala, Rajeshri Rana

Sold ( 57 times )
8654 Views
Price : ₹125.00
Inclusive of all taxes
INSTANT delivery: Read it now on your device

Buy Ebook₹125.00 Rental Ebook Up to 70% Off

Save extra with 2 Offers

Get ₹ 50

Instant Cashback on the purchase of ₹ 400 or above
SAVE05 Already Applied

Product Specifications

Publisher Laxmi Publications All Engineering Mathematics books by Laxmi Publications
ISBN 9788131807026
Author: Dr. V. N. Kala, Rajeshri Rana
Number of Pages 178
Edition First Edition
Available
Available in all digital devices
  • Snapshot
  • About the book
  • Sample book
Matrices By Dr. V. N. Kala, Rajeshri Rana - Page 1 Matrices By Dr. V. N. Kala, Rajeshri Rana - Page 2 Matrices By Dr. V. N. Kala, Rajeshri Rana - Page 3 Matrices By Dr. V. N. Kala, Rajeshri Rana - Page 4 Matrices By Dr. V. N. Kala, Rajeshri Rana - Page 5

Matrices By Dr. V. N. Kala, Rajeshri Rana
Book Summary:

The book 'Matrices' has been written in an innovative style. This book is a complete treatise on Real Mathematics portion?matrices, which also serves a vital role in Mathematical Physics and various other scientific fields. This book contains subject matter in an explicit, lucid and comprehensive manner.


Audience of the Book :
 It identifies an essential framework which will be helpful to students giving their respective universities graduate and postgraduate exams, as well as serves with its straightforward and modern approach to the subject concept which will be of great help for the students appearing in different Engineering competitive exams.
 
Key Features:

The main features of the book are as follows:

1. A number of simple and depictive illustrations are given along with large number of solved and unsolved examples.


Table of Contents:

1. Introduction to Matrices

2. Some Special Types of Matrices

3. Elementary Transformations

4. Rank of a Matrix

5. Simultaneous Linear Equations

6. Linear Dependence of Vectors

7. Characteristic Roots and Characteristic Vectors

8. Cayley Hamilton Theorem

9. Diagonalisation of Matrices

10. Matrices & Determinants