Make Hessian of the objective function
make_log_hessian.Rd- m_expected_value is the expectated value matrix - m_variance is the matrix of variances - A, m_expected_value, m_variance all have shape c(size, size) - The variables _v are copies of the originals to shape c(npar,size,size), paralleling the gradient of g. - The variables _m are copies of the originals to shape c(npar,npar,size,size), paralleling the hessian of g hessian-of-objective-function