Visible to Intel only — GUID: GUID-D494C80C-4BE2-4852-BE70-519F60A7F6B3
Visible to Intel only — GUID: GUID-D494C80C-4BE2-4852-BE70-519F60A7F6B3
?lasv2
Computes the singular value decomposition of a 2-by-2 triangular matrix.
Syntax
call slasv2( f, g, h, ssmin, ssmax, snr, csr, snl, csl )
call dlasv2( f, g, h, ssmin, ssmax, snr, csr, snl, csl )
Include Files
- mkl.fi
Description
The routine ?lasv2 computes the singular value decomposition of a 2-by-2 triangular matrix
On return, abs(ssmax) is the larger singular value, abs(ssmin) is the smaller singular value, and (csl,snl) and (csr,snr) are the left and right singular vectors for abs(ssmax), giving the decomposition
Input Parameters
- f, g, h
-
REAL for slasv2
DOUBLE PRECISION for dlasv2.
The (1,1), (1,2) and (2,2) elements of the 2-by-2 matrix, respectively.
Output Parameters
- ssmin, ssmax
-
REAL for slasv2
DOUBLE PRECISION for dlasv2.
abs(ssmin) and abs(ssmax) is the smaller and the larger singular value, respectively.
- snl, csl
-
REAL for slasv2
DOUBLE PRECISION for dlasv2.
The vector (csl, snl) is a unit left singular vector for the singular value abs(ssmax).
- snr, csr
-
REAL for slasv2
DOUBLE PRECISION for dlasv2.
The vector (csr, snr) is a unit right singular vector for the singular value abs(ssmax).
Application Notes
Any input parameter may be aliased with any output parameter.
Barring over/underflow and assuming a guard digit in subtraction, all output quantities are correct to within a few units in the last place (ulps).
In ieee arithmetic, the code works correctly if one matrix element is infinite. Overflow will not occur unless the largest singular value itself overflows or is within a few ulps of overflow. (On machines with partial overflow, like the Cray, overflow may occur if the largest singular value is within a factor of 2 of overflow.) Underflow is harmless if underflow is gradual. Otherwise, results may correspond to a matrix modified by perturbations of size near the underflow threshold.