## SEE: Guide to Download MIT Video Lecture

## 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...

## Other Resources :

### Citation |

These free video lectures are licensed under a Creative Commons License by MIT OCW

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### Comments

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**irfan says :**

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Birajdar Gunvant Achutrao says :