Mathematical background

نویسنده

  • Jianxin Wu
چکیده

1 Linear algebra 2 1.1 Inner product, norm, distance, and orthogonality . . . . . . . . . 2 1.2 Angle and inequality . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Vector projection . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.4 Basics of matrices . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.5 Matrix multiplication . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.6 Determinant and inverse of a square matrix . . . . . . . . . . . . 8 1.7 Eigenvalue, eigenvector, rank and trace of a square matrix . . . . 9 1.8 Singular value decomposition . . . . . . . . . . . . . . . . . . . . 11 1.9 Positive (semi-)definite real symmetric matrices . . . . . . . . . . 11

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تاریخ انتشار 2017