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linear algebra for physicists & engineers mathai haubold [pdf]

Linear Algebra: A Course for Physicists and Engineers by Arak Mathai, H J Haubold

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About this book :-
Linear Algebra: A Course for Physicists and Engineers written by A M Mathai, H J Haubold.
The basic material in this book originated from a course given by the first author at the University of Texas at El Paso in 1998–1999 academic year. Students from mathematics, engineering, biology, economics, physics and chemistry were in the class.
The textbook assigned to the course did not satisfy the students from any of the disciplines, including mathematics. Hence Dr Mathai started developing a course from fundamentals, assuming no background, with lots of examples and counter examples taken from day to day life. All sections of the students enjoyed the course. Dr Mathai gave courses on calculus and linear algebra and for both of these courses he developed his own materials in close interaction with students.

Book Detail :-
Title: Linear Algebra: A Course for Physicists and Engineers
Edition:
Author(s): A M Mathai, H J Haubold
Publisher: World Scientific
Series: De Gruyter Textbook
Year: 2017
Pages: 468
Type: PDF
Language: English
ISBN: 9783110562354,3110562359
Country: India
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About Author :-
Arak Mathai Arakaparampil Mathai "Arak" Mathai (born 1935) is an Indian mathematician who has worked in Statistics, Applied Analysis, Applications of special functions and Astrophysics. Mathai established the Centre for Mathematical Sciences, Palai, Kerala, India.
He has published more 25 books and more than 300 research publications. In 1998 he received the Founder Recognition Award from the Statistical Society of Canada. He is a Fellow of the National Academy of Sciences, India and a Fellow of the Institute of Mathematical Statistics. After completing his high school education in 1953 from St. Thomas High School, Palai with record marks he joined St. Thomas College, Palai and obtained his B Sc. degree in Mathematics in 1957. In 1959 he completed his master's degree in Statistics from University of Kerala, Thiruvananthapuram, Kerala, India with first class, first rank and gold medal. Then he joined St. Thomas College, Palai, University of Kerala, as a lecturer in Statistics and served there till 1961. He obtained Canadian Commonwealth scholarship in 1961 and went to University of Toronto, Canada for completing his MA degree in Mathematics in 1962. He was awarded PhD from University of Toronto, Canada in 1964. Then he joined McGill University, Canada as an Assistant Professor till 1968. From 1968 to 1978 he was an Associate Professor there. He became a Full Professor of McGill in 1979 and served the Department of Mathematics and Statistics until 2000. From 2000 onwards he was an Emeritus Professor of McGill University.

All Famous Books of this Author :-
Here is list all books/editions avaliable of this author, We recomended you to download all.
• Download PDF Linear Algebra: A Course for Physicists and Engineers by Arak Mathai, H J Haubold NEW
• Download PDF Jacobians of Matrix Transformations and Functions of Matrix Argument by A M Mathai NEW
• Download PDF Quadratic Forms in Random Variables by A M Mathai, S B Provost NEW
• Download PDF Probability and Statistics: A Course for Physicists and Engineers by A M Mathai, H J Haubold NEW
• Download PDF Probability and Statistics by Arak Mathai, P N Rathie NEW
• Download PDF Erdélyi–Kober Fractional Calculus by A M Mathai, H J Haubold NEW
• Download PDF Fractional & Multivariable Calculus by A M Mathai, H J Haubold NEW
• Download PDF Fractional & Multivariable Calculus by A M Mathai, H J Haubold NEW
• Download PDF Generalized Hypergeometric Functions by A M Mathai, R K Saxena NEW
• Download PDF Special Functions for Applied Scientists by A M Mathai, H J Haubold NEW
• Download PDF The H-Function: Theory and Applications by A M Mathai, Ram Kishore Saxena, Hans J Haubold NEW

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Book Contents :-
Linear Algebra: A Course for Physicists and Engineers written by A M Mathai, H J Haubold cover the following topics.
List of Symbols
1. Vectors
2. Matrices
3. Determinants
4. Eigenvalues and eigenvectors
5. Some applications of matrices and determinants
6. Matrix series and additional properties of matrices
References
Index


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