On Fri, 2015-09-11 at 22:34 +0200, aitor_czr wrote: > You are right Edward, i was thinking in the transposition matrix. > > > El 11/09/15 a las 19:32, Edward Bartolo escribió: > > > > > > > only square matrices can > > > have an inverse
If a square matrix is singular, i.e. the determinant is zero, no inverse exists (a pseudoinverse and SVD exists though, see below). For non-square, and square, matrices you can always define a pseudo-inverse, (Moore-Penrose pseudoinverse), as well as calculate the Singular Value Decomposition (SVD). The SVD is an efficient way to calculate the pseudoinverse and least-squares fitting of data. _______________________________________________ Dng mailing list Dng@lists.dyne.org https://mailinglists.dyne.org/cgi-bin/mailman/listinfo/dng
