matlab,correlation,matrix-inverse,determinants,fminsearch

How about sqrt(det(Gamma)) for the sqrt-determinant and inv(Gamma) for inverse? But if you do not want to implement it yourself you can look at yulewalkerarestimator UPD: For estimation of autocovariance matrix use xcov also, this topic is a bit more explained here...

You just need to remove the first (zeroth) row and the column which you don't want. The following may be of use to you: using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Threading.Tasks; namespace ConsoleApplication1 { class Program { /// <summary> /// Helper to show array. /// </summary> ///...

python,numpy,matrix,matrix-inverse,determinants

The numerical inversion of matrices does not involve computing the determinant. (Cramer's formula for the inverse is not practical for large matrices.) So, the fact that determinant evaluates to 0 (due to insufficient precision of floats) is not an obstacle for the matrix inversion routine. Following up on the comments...

This is called symbolic math and is in the wheelhouse of tools like Mathematica. For Perl, there are packages like Math::Synbolic but I couldn't tell you how easy they are to use. On the other hand, if you are just interested in what values of R have a determinant of...

python,function,matrix,determinants,non-type

Your problem is that det only returns something in the else part of the if.. else If len(matrix)==1, nothing happens (or at least nothing is returned). So when n=2 it tries to use cofactor which should be the result from an n=1 calculation, the value of cofactor is None. so...