@inproceedings{minka1997old,
author = {Minka, Tom},
title = {Old and New Matrix Algebra Useful for Statistics},
year = {1997},
month = {September},
abstract = {A concise reference on advanced matrix theory, including: 

• an easy way to compute matrix derivatives and second derivatives 
• a general framework for inverting partitioned matrices 
• useful properties of Kronecker product, Hadamard product, and diag 
• the column-stacking operator "vec" and its generalization to "vec-transpose" 

with applications to multilinear models, principal component analysis, blind source separation, Lyapunov equations, model alignment, and more.},
url = {http://approjects.co.za/?big=en-us/research/publication/old-new-matrix-algebra-useful-statistics/},
}