I working on a gaussian process and I'm running into a problem with computing the log likelihood when the matrix gets large(300+) and the parameter guesses suck(but are valid). I'm doing this in ...

DET(square-matrix) where square-matrix is a numeric matrix or literal. The DET function computes the determinant of square-matrix, which must be square. The determinant, the product of the eigenvalues ...