lapack wraps: SVD using *GESVD and GSVD using *GGSVD

[MikeTrumpis]

Here is f2py code for new GSVD wraps, and enhanced SVD wraps.

improvements to *GESVD and *GESDD wrapping: * can query the lapack drivers for best workspace size--this eliminates the need for the code in "calc_lwork.f". * can ask the drivers to return compact matrices: a = (m x n) ==> u = (m x min(m,n)), vh = (min(m,n) x n)

The GSVD code decomposes a segmented matrix [A.T; B.T].T into matrices U, V, Q, C, S, R such that

A = U*C*[0; R]*conj(Q).T B = V*S*[0; R]*conj(Q).T

This ticket should render ticket #957 unnecessary.

Mike