dgelsy man page on Scientific

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DGELSY(1)	      LAPACK driver routine (version 3.2)	     DGELSY(1)

NAME
       DGELSY  -  computes  the	 minimum-norm  solution to a real linear least
       squares problem

SYNOPSIS
       SUBROUTINE DGELSY( M, N, NRHS, A, LDA, B, LDB, JPVT, RCOND, RANK, WORK,
			  LWORK, INFO )

	   INTEGER	  INFO, LDA, LDB, LWORK, M, N, NRHS, RANK

	   DOUBLE	  PRECISION RCOND

	   INTEGER	  JPVT( * )

	   DOUBLE	  PRECISION A( LDA, * ), B( LDB, * ), WORK( * )

PURPOSE
       DGELSY  computes	 the  minimum-norm  solution  to  a  real linear least
       squares problem:
	   minimize || A * X - B ||
       using a complete orthogonal factorization of A.	A is an M-by-N	matrix
       which may be rank-deficient.
       Several right hand side vectors b and solution vectors x can be handled
       in a single call; they are stored as the columns of the M-by-NRHS right
       hand side matrix B and the N-by-NRHS solution matrix X.
       The routine first computes a QR factorization with column pivoting:
	   A * P = Q * [ R11 R12 ]
		       [  0  R22 ]
       with  R11 defined as the largest leading submatrix whose estimated con‐
       dition number is less than 1/RCOND.  The order of  R11,	RANK,  is  the
       effective rank of A.
       Then,  R22  is  considered  to be negligible, and R12 is annihilated by
       orthogonal transformations from the right,  arriving  at	 the  complete
       orthogonal factorization:
	  A * P = Q * [ T11 0 ] * Z
		      [	 0  0 ]
       The minimum-norm solution is then
	  X = P * Z' [ inv(T11)*Q1'*B ]
		     [	      0	      ]
       where Q1 consists of the first RANK columns of Q.
       This routine is basically identical to the original xGELSX except three
       differences:
	 o The call to the subroutine xGEQPF has been substituted by the
	   the call to the subroutine xGEQP3. This subroutine is a Blas-3
	   version of the QR factorization with column pivoting.
	 o Matrix B (the right hand side) is updated with Blas-3.
	 o The permutation of matrix B (the right hand side) is faster and
	   more simple.

ARGUMENTS
       M       (input) INTEGER
	       The number of rows of the matrix A.  M >= 0.

       N       (input) INTEGER
	       The number of columns of the matrix A.  N >= 0.

       NRHS    (input) INTEGER
	       The number of right hand sides, i.e., the number of columns  of
	       matrices B and X. NRHS >= 0.

       A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
	       On entry, the M-by-N matrix A.  On exit, A has been overwritten
	       by details of its complete orthogonal factorization.

       LDA     (input) INTEGER
	       The leading dimension of the array A.  LDA >= max(1,M).

       B       (input/output) DOUBLE PRECISION array, dimension (LDB,NRHS)
	       On entry, the M-by-NRHS right hand side matrix B.  On exit, the
	       N-by-NRHS solution matrix X.

       LDB     (input) INTEGER
	       The leading dimension of the array B. LDB >= max(1,M,N).

       JPVT    (input/output) INTEGER array, dimension (N)
	       On  entry,  if JPVT(i) .ne. 0, the i-th column of A is permuted
	       to the front of AP, otherwise column i is a  free  column.   On
	       exit,  if  JPVT(i) = k, then the i-th column of AP was the k-th
	       column of A.

       RCOND   (input) DOUBLE PRECISION
	       RCOND is used to determine the effective rank of	 A,  which  is
	       defined	as  the order of the largest leading triangular subma‐
	       trix R11 in the QR factorization	 with  pivoting	 of  A,	 whose
	       estimated condition number < 1/RCOND.

       RANK    (output) INTEGER
	       The  effective rank of A, i.e., the order of the submatrix R11.
	       This is the same as the order of the submatrix T11 in the  com‐
	       plete orthogonal factorization of A.

       WORK	  (workspace/output)   DOUBLE	PRECISION   array,   dimension
       (MAX(1,LWORK))
	       On exit, if INFO = 0, WORK(1) returns the optimal LWORK.

       LWORK   (input) INTEGER
	       The dimension  of  the  array  WORK.   The  unblocked  strategy
	       requires	 that: LWORK >= MAX( MN+3*N+1, 2*MN+NRHS ), where MN =
	       min( M, N ).  The block algorithm requires that: LWORK >=  MAX(
	       MN+2*N+NB*(N+1),	 2*MN+NB*NRHS ), where NB is an upper bound on
	       the blocksize returned  by  ILAENV  for	the  routines  DGEQP3,
	       DTZRZF,	STZRQF,	 DORMQR,  and  DORMRZ.	 If LWORK = -1, then a
	       workspace query is assumed; the	routine	 only  calculates  the
	       optimal size of the WORK array, returns this value as the first
	       entry of the WORK array, and no error message related to	 LWORK
	       is issued by XERBLA.

       INFO    (output) INTEGER
	       = 0: successful exit
	       < 0: If INFO = -i, the i-th argument had an illegal value.

FURTHER DETAILS
       Based on contributions by
	 A. Petitet, Computer Science Dept., Univ. of Tenn., Knoxville, USA
	 E. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
	 G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain

 LAPACK driver routine (version 3November 2008			     DGELSY(1)
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