Linear Algebra (Mathematics)

Linear Algebra (Mathematics)

4122 Views
MRP : ₹100.00
Price : ₹70.00
You will save : ₹30.00 after 30% Discount
Inclusive of all taxes
INSTANT delivery: Read it now on your device

Save extra with 2 Offers

Get ₹ 50

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

Product Specifications

Publisher Nirali Prakashan All B.Sc. Mathematics books by Nirali Prakashan
ISBN 9789389686074
Author: M. D. Bhagat, R. S. Bhamare, N. M. Phatangare, Dr. S. G. Purane, Dr. A. S. Khairnar, S. D. Manjarekar
Number of Pages 209
Edition First Edition
Available
Available in all digital devices
  • Snapshot
  • About the book
  • Sample book
Linear Algebra (Mathematics) - Page 1 Linear Algebra (Mathematics) - Page 2 Linear Algebra (Mathematics) - Page 3 Linear Algebra (Mathematics) - Page 4 Linear Algebra (Mathematics) - Page 5

Linear Algebra (Mathematics) by M. D. Bhagat, R. S. Bhamare, N. M. Phatangare, Dr. S. G. Purane, Dr. A. S. Khairnar, S. D. Manjarekar
Book Summary:

We have great pleasure in presenting this text book on LINEAR ALGEBRA to the students of F.Y.B.Sc. and B.A. Semester - II, Mathematics Paper - II. This book is written strictly according to the new revised syllabus of Savitribai Phule Pune University to be implemented from June 2019.

We have taken utmost care to present the matter systematically and with proper flow of mathematical concepts. We begin the Chapter by Introduction and at the end the Summary of the Chapter is provided. We have added one significant feature: "Think Over It" in this new edition. Here, we have posed questions of simple, difficult and intuitive type in nature. It is expected that the students should think over it and try to find the answers. This will assess the understanding of the knowledge of the Chapter. The book contains good number of solved problems and the number of graded problems in the exercises.

Audience of the Book :
This book Useful for B.Sc And BA Students.
Table of Content:

1. Vector Spaces

2. Eigenvalues and Eigenvectors

3. Orthogonality and Symmetric Matrices

4. The Geometry of Vector Spaces

Appendix

Model Question Papers

Reference