How can we make a maximum likelihood estimation for a random variable (matrix) that follows gaussian multivariate density?

I have a random matrix that we suppose follows N(m,C). The problem is that m is also a matrix and then C must be a tensor. How to deal with partial derevatives in MLE minimization ?

03 March 2016 8,836 2 View