MATH 104 Applied Matrix Theory
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Brief overview of the course:
This MATH 104 Applied Matrix Theory course is obtainable to UG and PG students of Engineering/Science backgrounds. It contains the ideas associated with matrix theory and its applications in varied disciplines. It covers a depth understanding of matrix computations involving rank, eigenvalues, eigenvectors, linear transformation, similarity transformations, (diagonalisation, Jordan canonical type, etc). It conjointly involves varied unvaried ways, as well as Krylov mathematical space ways. Finally, topics like positive matrices, non-negative matrices and polar decomposition are mentioned thoroughly with their applications.
Course layout:
1. Echelon type and Rank of a matrix, resolution of a system of linear equations.
2. Week a pair of Vector areas and their properties, subspaces, basis and dimension, linear transformations.
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