MA20107: Matrix Algebra

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MA20107
Course name Matrix Algebra
Offered by Mathematics
Credits 3
L-T-P 3-0-0
Professor(s) Rajnikant Pandey; Ramkrishna Nanduri
Previous Year Grade Distribution
8
30
42
46
32
25
10
EX A B C D P F
Semester Autumn


Syllabus

Syllabus mentioned in ERP

Prerequisite: voidGram-Schmidtâs orthogonalization, row and column spaces, rank and trace and their properties, QR decomposition, linear systems, symmetric, skew-symmetric, hermitian, skew-hermitian, orthogonal, unitary matrices and their properties, generalized inverse, Moore-Penrose inverse, minimum-norm ginverse, idempotent matrix, projection matrices, quadratic forms, positive definite, non-negative definite, negative definite matrices and their properties, LDU, UDU and Cholesky decompositions, matrix differentiation, eigenvalues and eigenvectors â properties for various type of matrices, singular value decomposition, diagonalization, simulataneous diagonalization, extrema of quadratic forms, least square theory and Gauss-Markoff theorem.


Concepts taught in class

Student Opinion

How to Crack the Paper

Take note of all the material given in class. Understand proofs and practise problems. To stay on safe side buy a 4*4 matrix enabled calculator.

Classroom resources

MATRIX AND LINEAR ALGEBRA (Prof K.B. Dutta)- Only available in library and maybe Tech-Market or College Street. (Out of print and unavailable online).

Additional Resources

Time Table

Day 8:00-8:55 am 9:00-9:55 am 10:00-10:55 am 11:00-11:55 am 12:00-12:55 pm 2:00-2:55 pm 3:00-3:55 pm 4:00-4:55 pm 5:00-5:55 pm
Monday NC142 NC142
Tuesday NC142
Wednesday
Thursday
Friday