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

6       DGELSY  -  computes  the  minimum-norm  solution to a real linear least
7       squares problem
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SYNOPSIS

10       SUBROUTINE DGELSY( M, N, NRHS, A, LDA, B, LDB, JPVT, RCOND, RANK, WORK,
11                          LWORK, INFO )
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13           INTEGER        INFO, LDA, LDB, LWORK, M, N, NRHS, RANK
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15           DOUBLE         PRECISION RCOND
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17           INTEGER        JPVT( * )
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19           DOUBLE         PRECISION A( LDA, * ), B( LDB, * ), WORK( * )
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PURPOSE

22       DGELSY  computes  the  minimum-norm  solution  to  a  real linear least
23       squares problem:
24           minimize || A * X - B ||
25       using a complete orthogonal factorization of A.  A is an M-by-N  matrix
26       which may be rank-deficient.
27       Several right hand side vectors b and solution vectors x can be handled
28       in a single call; they are stored as the columns of the M-by-NRHS right
29       hand side matrix B and the N-by-NRHS solution matrix X.
30       The routine first computes a QR factorization with column pivoting:
31           A * P = Q * [ R11 R12 ]
32                       [  0  R22 ]
33       with  R11 defined as the largest leading submatrix whose estimated con‐
34       dition number is less than 1/RCOND.  The order of  R11,  RANK,  is  the
35       effective rank of A.
36       Then,  R22  is  considered  to be negligible, and R12 is annihilated by
37       orthogonal transformations from the right,  arriving  at  the  complete
38       orthogonal factorization:
39          A * P = Q * [ T11 0 ] * Z
40                      [  0  0 ]
41       The minimum-norm solution is then
42          X = P * Z' [ inv(T11)*Q1'*B ]
43                     [        0       ]
44       where Q1 consists of the first RANK columns of Q.
45       This routine is basically identical to the original xGELSX except three
46       differences:
47         o The call to the subroutine xGEQPF has been substituted by the
48           the call to the subroutine xGEQP3. This subroutine is a Blas-3
49           version of the QR factorization with column pivoting.
50         o Matrix B (the right hand side) is updated with Blas-3.
51         o The permutation of matrix B (the right hand side) is faster and
52           more simple.
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ARGUMENTS

55       M       (input) INTEGER
56               The number of rows of the matrix A.  M >= 0.
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58       N       (input) INTEGER
59               The number of columns of the matrix A.  N >= 0.
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61       NRHS    (input) INTEGER
62               The number of right hand sides, i.e., the number of columns  of
63               matrices B and X. NRHS >= 0.
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65       A       (input/output) DOUBLE PRECISION array, dimension (LDA,N)
66               On entry, the M-by-N matrix A.  On exit, A has been overwritten
67               by details of its complete orthogonal factorization.
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69       LDA     (input) INTEGER
70               The leading dimension of the array A.  LDA >= max(1,M).
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72       B       (input/output) DOUBLE PRECISION array, dimension (LDB,NRHS)
73               On entry, the M-by-NRHS right hand side matrix B.  On exit, the
74               N-by-NRHS solution matrix X.
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76       LDB     (input) INTEGER
77               The leading dimension of the array B. LDB >= max(1,M,N).
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79       JPVT    (input/output) INTEGER array, dimension (N)
80               On  entry,  if JPVT(i) .ne. 0, the i-th column of A is permuted
81               to the front of AP, otherwise column i is a  free  column.   On
82               exit,  if  JPVT(i) = k, then the i-th column of AP was the k-th
83               column of A.
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85       RCOND   (input) DOUBLE PRECISION
86               RCOND is used to determine the effective rank of  A,  which  is
87               defined  as  the order of the largest leading triangular subma‐
88               trix R11 in the QR factorization  with  pivoting  of  A,  whose
89               estimated condition number < 1/RCOND.
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91       RANK    (output) INTEGER
92               The  effective rank of A, i.e., the order of the submatrix R11.
93               This is the same as the order of the submatrix T11 in the  com‐
94               plete orthogonal factorization of A.
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96       WORK       (workspace/output)   DOUBLE   PRECISION   array,   dimension
97       (MAX(1,LWORK))
98               On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
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100       LWORK   (input) INTEGER
101               The dimension  of  the  array  WORK.   The  unblocked  strategy
102               requires  that: LWORK >= MAX( MN+3*N+1, 2*MN+NRHS ), where MN =
103               min( M, N ).  The block algorithm requires that: LWORK >=  MAX(
104               MN+2*N+NB*(N+1),  2*MN+NB*NRHS ), where NB is an upper bound on
105               the blocksize returned  by  ILAENV  for  the  routines  DGEQP3,
106               DTZRZF,  STZRQF,  DORMQR,  and  DORMRZ.   If LWORK = -1, then a
107               workspace query is assumed; the  routine  only  calculates  the
108               optimal size of the WORK array, returns this value as the first
109               entry of the WORK array, and no error message related to  LWORK
110               is issued by XERBLA.
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112       INFO    (output) INTEGER
113               = 0: successful exit
114               < 0: If INFO = -i, the i-th argument had an illegal value.
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FURTHER DETAILS

117       Based on contributions by
118         A. Petitet, Computer Science Dept., Univ. of Tenn., Knoxville, USA
119         E. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
120         G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
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124 LAPACK driver routine (version 3.N2o)vember 2008                       DGELSY(1)
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