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

6       ZGELSY  -  computes the minimum-norm solution to a complex linear least
7       squares problem
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SYNOPSIS

10       SUBROUTINE ZGELSY( M, N, NRHS, A, LDA, B, LDB, JPVT, RCOND, RANK, WORK,
11                          LWORK, RWORK, 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 RWORK( * )
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21           COMPLEX*16     A( LDA, * ), B( LDB, * ), WORK( * )
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PURPOSE

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

57       M       (input) INTEGER
58               The number of rows of the matrix A.  M >= 0.
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60       N       (input) INTEGER
61               The number of columns of the matrix A.  N >= 0.
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63       NRHS    (input) INTEGER
64               The number of right hand sides, i.e., the number of columns  of
65               matrices B and X. NRHS >= 0.
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67       A       (input/output) COMPLEX*16 array, dimension (LDA,N)
68               On entry, the M-by-N matrix A.  On exit, A has been overwritten
69               by details of its complete orthogonal factorization.
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71       LDA     (input) INTEGER
72               The leading dimension of the array A.  LDA >= max(1,M).
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74       B       (input/output) COMPLEX*16 array, dimension (LDB,NRHS)
75               On entry, the M-by-NRHS right hand side matrix B.  On exit, the
76               N-by-NRHS solution matrix X.
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78       LDB     (input) INTEGER
79               The leading dimension of the array B. LDB >= max(1,M,N).
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81       JPVT    (input/output) INTEGER array, dimension (N)
82               On  entry,  if JPVT(i) .ne. 0, the i-th column of A is permuted
83               to the front of AP, otherwise column i is a  free  column.   On
84               exit,  if JPVT(i) = k, then the i-th column of A*P was the k-th
85               column of A.
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87       RCOND   (input) DOUBLE PRECISION
88               RCOND is used to determine the effective rank of  A,  which  is
89               defined  as  the order of the largest leading triangular subma‐
90               trix R11 in the QR factorization  with  pivoting  of  A,  whose
91               estimated condition number < 1/RCOND.
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93       RANK    (output) INTEGER
94               The  effective rank of A, i.e., the order of the submatrix R11.
95               This is the same as the order of the submatrix T11 in the  com‐
96               plete orthogonal factorization of A.
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98       WORK    (workspace/output) COMPLEX*16 array, dimension (MAX(1,LWORK))
99               On exit, if INFO = 0, WORK(1) returns the optimal LWORK.
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101       LWORK   (input) INTEGER
102               The  dimension  of  the  array  WORK.   The  unblocked strategy
103               requires that: LWORK >= MN + MAX( 2*MN, N+1, MN+NRHS ) where MN
104               =  min(M,N).   The block algorithm requires that: LWORK >= MN +
105               MAX( 2*MN, NB*(N+1), MN+MN*NB, MN+NB*NRHS  )  where  NB  is  an
106               upper  bound  on  the blocksize returned by ILAENV for the rou‐
107               tines ZGEQP3, ZTZRZF, CTZRQF, ZUNMQR, and ZUNMRZ.  If  LWORK  =
108               -1,  then a workspace query is assumed; the routine only calcu‐
109               lates the optimal size of the WORK array, returns this value as
110               the first entry of the WORK array, and no error message related
111               to LWORK is issued by XERBLA.
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113       RWORK   (workspace) DOUBLE PRECISION array, dimension (2*N)
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115       INFO    (output) INTEGER
116               = 0: successful exit
117               < 0: if INFO = -i, the i-th argument had an illegal value
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FURTHER DETAILS

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