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Course Description :
Linear equations; Multiplication and Inverse matrices; Factorization; Transposes, Permutations, Column and Null space; Pivot Variables; Subspaces; Graph, Incidence Matrices; Orthogonal Vectors, Matrices and Gram-Schmidt ; Cramer’s rule; Eigen values and vectors; Marcov Matrices; Fourier Series; FFT; Linear Transformations; Change of Basis; Image Compression; Left and Right Inverses; Pseudo inverse etc...
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