Visible to Intel only — GUID: GUID-5E9468F9-6BE7-4430-8E44-C86D52227CBE
Visible to Intel only — GUID: GUID-5E9468F9-6BE7-4430-8E44-C86D52227CBE
?lalsd
Uses the singular value decomposition of A to solve the least squares problem.
call slalsd( uplo, smlsiz, n, nrhs, d, e, b, ldb, rcond, rank, work, iwork, info )
call dlalsd( uplo, smlsiz, n, nrhs, d, e, b, ldb, rcond, rank, work, iwork, info )
call clalsd( uplo, smlsiz, n, nrhs, d, e, b, ldb, rcond, rank, work, rwork, iwork, info )
call zlalsd( uplo, smlsiz, n, nrhs, d, e, b, ldb, rcond, rank, work, rwork, iwork, info )
- mkl.fi
The routine uses the singular value decomposition of A to solve the least squares problem of finding X to minimize the Euclidean norm of each column of A*X-B, where A is n-by-n upper bidiagonal, and X and B are n-by-nrhs. The solution X overwrites B.
The singular values of A smaller than rcond times the largest singular value are treated as zero in solving the least squares problem; in this case a minimum norm solution is returned. The actual singular values are returned in d in ascending order.
This code makes very mild assumptions about floating point arithmetic. It will work on machines with a guard digit in add/subtract, or on those binary machines without guard digits which subtract like the Cray XMP, Cray YMP, Cray C 90, or Cray 2.
It could conceivably fail on hexadecimal or decimal machines without guard digits, but we know of none.
- uplo
-
CHARACTER*1.
If uplo = 'U', d and e define an upper bidiagonal matrix.
If uplo = 'L', d and e define a lower bidiagonal matrix.
- smlsiz
-
INTEGER. The maximum size of the subproblems at the bottom of the computation tree.
- n
-
INTEGER. The dimension of the bidiagonal matrix.
n≥ 0.
- nrhs
-
INTEGER. The number of columns of B. Must be at least 1.
- d
-
REAL for slalsd/clalsd
DOUBLE PRECISION for dlalsd/zlalsd
Array, DIMENSION (n). On entry, d contains the main diagonal of the bidiagonal matrix.
- e
-
REAL for slalsd/clalsd
DOUBLE PRECISION for dlalsd/zlalsd
Array, DIMENSION (n-1). Contains the super-diagonal entries of the bidiagonal matrix. On exit, e is destroyed.
- b
-
REAL for slalsd
DOUBLE PRECISION for dlalsd
COMPLEX for clalsd
DOUBLE COMPLEX for zlalsd
Array, DIMENSION (ldb,nrhs).
On input, b contains the right hand sides of the least squares problem. On output, b contains the solution X.
- ldb
-
INTEGER. The leading dimension of b in the calling subprogram. Must be at least max(1,n).
- rcond
-
REAL for slalsd/clalsd
DOUBLE PRECISION for dlalsd/zlalsd
The singular values of A less than or equal to rcond times the largest singular value are treated as zero in solving the least squares problem. If rcond is negative, machine precision is used instead. For example, for the least squares problem diag(S)*X=B, where diag(S) is a diagonal matrix of singular values, the solution is X(i)=B(i)/S(i) if S(i) is greater than rcond *max(S), and X(i)=0 if S(i) is less than or equal to rcond *max(S).
- rank
-
INTEGER. The number of singular values of A greater than rcond times the largest singular value.
- work
-
REAL for slalsd
DOUBLE PRECISION for dlalsd
COMPLEX for clalsd
DOUBLE COMPLEX for zlalsd
Workspace array.
DIMENSION for real flavors at least
(9n+2n*smlsiz+8n*nlvl+n*nrhs+(smlsiz+1)2),
where
nlvl = max(0, int(log2(n/(smlsiz+1))) + 1).
DIMENSION for complex flavors is (n*nrhs).
- rwork
-
REAL for clalsd
DOUBLE PRECISION for zlalsd
Workspace array, used with complex flavors only.
DIMENSION at least (9n + 2n*smlsiz + 8n*nlvl + 3*mlsiz*nrhs + (smlsiz+1)2),
where
nlvl = max(0, int(log2(min(m,n)/(smlsiz+1))) + 1).
- iwork
-
INTEGER.
Workspace array of DIMENSION(3n*nlvl + 11n).
- d
-
On exit, if info = 0, d contains singular values of the bidiagonal matrix.
- e
-
On exit, destroyed.
- b
-
On exit, b contains the solution X.
- info
-
INTEGER.
If info = 0: successful exit.
If info = -i < 0, the i-th argument had an illegal value.
If info > 0: The algorithm failed to compute a singular value while working on the submatrix lying in rows and columns info/(n+1) through mod(info,n+1).