Attribute | Rank |
---|---|

Difficulty | 4 |

Proof Quality | 2 |

Readability | 2 |

Self-Study | 2 |

Good for Teaching? | 1 |

Quality of Exercises | 2 |

- Matrix decompositions
- trace
- Vec operator
- Kronecker Products and applications to linear systems and basic control theory
- Matrix calculus (derivatives of vectors, chain rule, derivatives of scalar functions of a matrix with respect to a matrix)
- Matrix Differentials
- Derivatives of a matrix with respect to a matrix
- Applications of matrix calculus to least squares and maximum likelihood estimation of the multivariate normal parameters