LAPACK  3.8.0
LAPACK: Linear Algebra PACKage

◆ dlapll()

subroutine dlapll ( integer  N,
double precision, dimension( * )  X,
integer  INCX,
double precision, dimension( * )  Y,
integer  INCY,
double precision  SSMIN 
)

DLAPLL measures the linear dependence of two vectors.

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Purpose:
 Given two column vectors X and Y, let

                      A = ( X Y ).

 The subroutine first computes the QR factorization of A = Q*R,
 and then computes the SVD of the 2-by-2 upper triangular matrix R.
 The smaller singular value of R is returned in SSMIN, which is used
 as the measurement of the linear dependency of the vectors X and Y.
Parameters
[in]N
          N is INTEGER
          The length of the vectors X and Y.
[in,out]X
          X is DOUBLE PRECISION array,
                         dimension (1+(N-1)*INCX)
          On entry, X contains the N-vector X.
          On exit, X is overwritten.
[in]INCX
          INCX is INTEGER
          The increment between successive elements of X. INCX > 0.
[in,out]Y
          Y is DOUBLE PRECISION array,
                         dimension (1+(N-1)*INCY)
          On entry, Y contains the N-vector Y.
          On exit, Y is overwritten.
[in]INCY
          INCY is INTEGER
          The increment between successive elements of Y. INCY > 0.
[out]SSMIN
          SSMIN is DOUBLE PRECISION
          The smallest singular value of the N-by-2 matrix A = ( X Y ).
Author
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date
December 2016

Definition at line 104 of file dlapll.f.

104 *
105 * -- LAPACK auxiliary routine (version 3.7.0) --
106 * -- LAPACK is a software package provided by Univ. of Tennessee, --
107 * -- Univ. of California Berkeley, Univ. of Colorado Denver and NAG Ltd..--
108 * December 2016
109 *
110 * .. Scalar Arguments ..
111  INTEGER incx, incy, n
112  DOUBLE PRECISION ssmin
113 * ..
114 * .. Array Arguments ..
115  DOUBLE PRECISION x( * ), y( * )
116 * ..
117 *
118 * =====================================================================
119 *
120 * .. Parameters ..
121  DOUBLE PRECISION zero, one
122  parameter( zero = 0.0d+0, one = 1.0d+0 )
123 * ..
124 * .. Local Scalars ..
125  DOUBLE PRECISION a11, a12, a22, c, ssmax, tau
126 * ..
127 * .. External Functions ..
128  DOUBLE PRECISION ddot
129  EXTERNAL ddot
130 * ..
131 * .. External Subroutines ..
132  EXTERNAL daxpy, dlarfg, dlas2
133 * ..
134 * .. Executable Statements ..
135 *
136 * Quick return if possible
137 *
138  IF( n.LE.1 ) THEN
139  ssmin = zero
140  RETURN
141  END IF
142 *
143 * Compute the QR factorization of the N-by-2 matrix ( X Y )
144 *
145  CALL dlarfg( n, x( 1 ), x( 1+incx ), incx, tau )
146  a11 = x( 1 )
147  x( 1 ) = one
148 *
149  c = -tau*ddot( n, x, incx, y, incy )
150  CALL daxpy( n, c, x, incx, y, incy )
151 *
152  CALL dlarfg( n-1, y( 1+incy ), y( 1+2*incy ), incy, tau )
153 *
154  a12 = y( 1 )
155  a22 = y( 1+incy )
156 *
157 * Compute the SVD of 2-by-2 Upper triangular matrix.
158 *
159  CALL dlas2( a11, a12, a22, ssmin, ssmax )
160 *
161  RETURN
162 *
163 * End of DLAPLL
164 *
subroutine daxpy(N, DA, DX, INCX, DY, INCY)
DAXPY
Definition: daxpy.f:91
double precision function ddot(N, DX, INCX, DY, INCY)
DDOT
Definition: ddot.f:84
subroutine dlas2(F, G, H, SSMIN, SSMAX)
DLAS2 computes singular values of a 2-by-2 triangular matrix.
Definition: dlas2.f:109
subroutine dlarfg(N, ALPHA, X, INCX, TAU)
DLARFG generates an elementary reflector (Householder matrix).
Definition: dlarfg.f:108
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