# A Concise Text on Advanced Linear Algebra

@inproceedings{Yang2014ACT, title={A Concise Text on Advanced Linear Algebra}, author={Yisong Yang}, year={2014} }

Preface Notation and convention 1. Vector spaces 2. Linear mappings 3. Determinants 4. Scalar products 5. Real quadratic forms and self-adjoint mappings 6. Complex quadratic forms and self-adjoint mappings 7. Jordan decomposition 8. Selected topics 9. Excursion: quantum mechanics in a nutshell Solutions to selected problems Bibliographic notes References Index.

## 4 Citations

### Reviews

- MathematicsAm. Math. Mon.
- 2018

My first exposure to abstract linear algebra was a course at the University of California, Berkeley, in 1965, taught by the eminent probabilist Michele Loève and based on the 1961 edition of Hoffman…

### Visualizing Matrix Multiplication

- Computer Science
- 2018

This method differs from the standard, formal approach by using block matrices to make computations more visual, and is found a helpful alternative for introducing matrix multiplication.

### Global implicit function theorems and the online expectation–maximisation algorithm

- EconomicsAustralian & New Zealand Journal of Statistics
- 2022

The expectation–maximisation (EM) algorithm framework is an important tool for statistical computation. Due to the changing nature of data, online and mini‐batch variants of EM and EM‐like algorithms…

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