1SGEQP3(1) LAPACK routine (version 3.1) SGEQP3(1)
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6 SGEQP3 - a QR factorization with column pivoting of a matrix A
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9 SUBROUTINE SGEQP3( M, N, A, LDA, JPVT, TAU, WORK, LWORK, INFO )
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11 INTEGER INFO, LDA, LWORK, M, N
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13 INTEGER JPVT( * )
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15 REAL A( LDA, * ), TAU( * ), WORK( * )
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18 SGEQP3 computes a QR factorization with column pivoting of a matrix A:
19 A*P = Q*R using Level 3 BLAS.
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23 M (input) INTEGER
24 The number of rows of the matrix A. M >= 0.
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26 N (input) INTEGER
27 The number of columns of the matrix A. N >= 0.
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29 A (input/output) REAL array, dimension (LDA,N)
30 On entry, the M-by-N matrix A. On exit, the upper triangle of
31 the array contains the min(M,N)-by-N upper trapezoidal matrix
32 R; the elements below the diagonal, together with the array
33 TAU, represent the orthogonal matrix Q as a product of min(M,N)
34 elementary reflectors.
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36 LDA (input) INTEGER
37 The leading dimension of the array A. LDA >= max(1,M).
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39 JPVT (input/output) INTEGER array, dimension (N)
40 On entry, if JPVT(J).ne.0, the J-th column of A is permuted to
41 the front of A*P (a leading column); if JPVT(J)=0, the J-th
42 column of A is a free column. On exit, if JPVT(J)=K, then the
43 J-th column of A*P was the the K-th column of A.
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45 TAU (output) REAL array, dimension (min(M,N))
46 The scalar factors of the elementary reflectors.
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48 WORK (workspace/output) REAL array, dimension (MAX(1,LWORK))
49 On exit, if INFO=0, WORK(1) returns the optimal LWORK.
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51 LWORK (input) INTEGER
52 The dimension of the array WORK. LWORK >= 3*N+1. For optimal
53 performance LWORK >= 2*N+( N+1 )*NB, where NB is the optimal
54 blocksize.
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56 If LWORK = -1, then a workspace query is assumed; the routine
57 only calculates the optimal size of the WORK array, returns
58 this value as the first entry of the WORK array, and no error
59 message related to LWORK is issued by XERBLA.
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61 INFO (output) INTEGER
62 = 0: successful exit.
63 < 0: if INFO = -i, the i-th argument had an illegal value.
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66 The matrix Q is represented as a product of elementary reflectors
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68 Q = H(1) H(2) . . . H(k), where k = min(m,n).
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70 Each H(i) has the form
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72 H(i) = I - tau * v * v'
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74 where tau is a real/complex scalar, and v is a real/complex vector with
75 v(1:i-1) = 0 and v(i) = 1; v(i+1:m) is stored on exit in A(i+1:m,i),
76 and tau in TAU(i).
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78 Based on contributions by
79 G. Quintana-Orti, Depto. de Informatica, Universidad Jaime I, Spain
80 X. Sun, Computer Science Dept., Duke University, USA
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85 LAPACK routine (version 3.1) November 2006 SGEQP3(1)