|Edition:||eBook , PDF|
|No. of Pages:||178|
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About the E-Book :
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. 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. A number of simple and depictive illustrations are given along with large number of solved and unsolved examples.
About the Author :
Dr. V. N. Kala, is presently working as an Assistant Professor and Head of Department in Applied Sciences & Humanities, G.B. Pant Engineering College, Pauri Garhwal. He has been teaching postgraduate and undergraduate students for 16 years. He completed his Ph.D. in Mathematics from H.N.B. Garhwal University, Srinagar Garhwal in 1992. He has authored several papers, which have been published in national and international journals. He had organized Mathematics summer school, supported by Uttaranchal Technical Ministry in 2007.
Rajeshri Rana, is presently working as a Lecturer, Mathematics in Applied Sciences and Humanities Department, G. B. Pant Engineering College, Pauri Garhwal. She had been a topper throughout her academic career and gold medalist in H.N.B., Garhwal University, P.G. Examinations. Currently, she is pursuing her research in the field of Fixed Point Theory and its Applications. She has been teaching postgraduate and undergraduate students for 3 years.
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