File: slasd5.f

package info (click to toggle)
lapack99 3.0-14
  • links: PTS
  • area: main
  • in suites: sarge
  • size: 37,008 kB
  • ctags: 32,714
  • sloc: fortran: 436,304; makefile: 1,567; sh: 28
file content (164 lines) | stat: -rw-r--r-- 5,128 bytes parent folder | download | duplicates (20)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
      SUBROUTINE SLASD5( I, D, Z, DELTA, RHO, DSIGMA, WORK )
*
*  -- LAPACK auxiliary routine (version 3.0) --
*     Univ. of Tennessee, Oak Ridge National Lab, Argonne National Lab,
*     Courant Institute, NAG Ltd., and Rice University
*     June 30, 1999
*
*     .. Scalar Arguments ..
      INTEGER            I
      REAL               DSIGMA, RHO
*     ..
*     .. Array Arguments ..
      REAL               D( 2 ), DELTA( 2 ), WORK( 2 ), Z( 2 )
*     ..
*
*  Purpose
*  =======
*
*  This subroutine computes the square root of the I-th eigenvalue
*  of a positive symmetric rank-one modification of a 2-by-2 diagonal
*  matrix
*
*             diag( D ) * diag( D ) +  RHO *  Z * transpose(Z) .
*
*  The diagonal entries in the array D are assumed to satisfy
*
*             0 <= D(i) < D(j)  for  i < j .
*
*  We also assume RHO > 0 and that the Euclidean norm of the vector
*  Z is one.
*
*  Arguments
*  =========
*
*  I      (input) INTEGER
*         The index of the eigenvalue to be computed.  I = 1 or I = 2.
*
*  D      (input) REAL array, dimension ( 2 )
*         The original eigenvalues.  We assume 0 <= D(1) < D(2).
*
*  Z      (input) REAL array, dimension ( 2 )
*         The components of the updating vector.
*
*  DELTA  (output) REAL array, dimension ( 2 )
*         Contains (D(j) - lambda_I) in its  j-th component.
*         The vector DELTA contains the information necessary
*         to construct the eigenvectors.
*
*  RHO    (input) REAL
*         The scalar in the symmetric updating formula.
*
*  DSIGMA (output) REAL
*         The computed lambda_I, the I-th updated eigenvalue.
*
*  WORK   (workspace) REAL array, dimension ( 2 )
*         WORK contains (D(j) + sigma_I) in its  j-th component.
*
*  Further Details
*  ===============
*
*  Based on contributions by
*     Ren-Cang Li, Computer Science Division, University of California
*     at Berkeley, USA
*
*  =====================================================================
*
*     .. Parameters ..
      REAL               ZERO, ONE, TWO, THREE, FOUR
      PARAMETER          ( ZERO = 0.0E+0, ONE = 1.0E+0, TWO = 2.0E+0,
     $                   THREE = 3.0E+0, FOUR = 4.0E+0 )
*     ..
*     .. Local Scalars ..
      REAL               B, C, DEL, DELSQ, TAU, W
*     ..
*     .. Intrinsic Functions ..
      INTRINSIC          ABS, SQRT
*     ..
*     .. Executable Statements ..
*
      DEL = D( 2 ) - D( 1 )
      DELSQ = DEL*( D( 2 )+D( 1 ) )
      IF( I.EQ.1 ) THEN
         W = ONE + FOUR*RHO*( Z( 2 )*Z( 2 ) / ( D( 1 )+THREE*D( 2 ) )-
     $       Z( 1 )*Z( 1 ) / ( THREE*D( 1 )+D( 2 ) ) ) / DEL
         IF( W.GT.ZERO ) THEN
            B = DELSQ + RHO*( Z( 1 )*Z( 1 )+Z( 2 )*Z( 2 ) )
            C = RHO*Z( 1 )*Z( 1 )*DELSQ
*
*           B > ZERO, always
*
*           The following TAU is DSIGMA * DSIGMA - D( 1 ) * D( 1 )
*
            TAU = TWO*C / ( B+SQRT( ABS( B*B-FOUR*C ) ) )
*
*           The following TAU is DSIGMA - D( 1 )
*
            TAU = TAU / ( D( 1 )+SQRT( D( 1 )*D( 1 )+TAU ) )
            DSIGMA = D( 1 ) + TAU
            DELTA( 1 ) = -TAU
            DELTA( 2 ) = DEL - TAU
            WORK( 1 ) = TWO*D( 1 ) + TAU
            WORK( 2 ) = ( D( 1 )+TAU ) + D( 2 )
*           DELTA( 1 ) = -Z( 1 ) / TAU
*           DELTA( 2 ) = Z( 2 ) / ( DEL-TAU )
         ELSE
            B = -DELSQ + RHO*( Z( 1 )*Z( 1 )+Z( 2 )*Z( 2 ) )
            C = RHO*Z( 2 )*Z( 2 )*DELSQ
*
*           The following TAU is DSIGMA * DSIGMA - D( 2 ) * D( 2 )
*
            IF( B.GT.ZERO ) THEN
               TAU = -TWO*C / ( B+SQRT( B*B+FOUR*C ) )
            ELSE
               TAU = ( B-SQRT( B*B+FOUR*C ) ) / TWO
            END IF
*
*           The following TAU is DSIGMA - D( 2 )
*
            TAU = TAU / ( D( 2 )+SQRT( ABS( D( 2 )*D( 2 )+TAU ) ) )
            DSIGMA = D( 2 ) + TAU
            DELTA( 1 ) = -( DEL+TAU )
            DELTA( 2 ) = -TAU
            WORK( 1 ) = D( 1 ) + TAU + D( 2 )
            WORK( 2 ) = TWO*D( 2 ) + TAU
*           DELTA( 1 ) = -Z( 1 ) / ( DEL+TAU )
*           DELTA( 2 ) = -Z( 2 ) / TAU
         END IF
*        TEMP = SQRT( DELTA( 1 )*DELTA( 1 )+DELTA( 2 )*DELTA( 2 ) )
*        DELTA( 1 ) = DELTA( 1 ) / TEMP
*        DELTA( 2 ) = DELTA( 2 ) / TEMP
      ELSE
*
*        Now I=2
*
         B = -DELSQ + RHO*( Z( 1 )*Z( 1 )+Z( 2 )*Z( 2 ) )
         C = RHO*Z( 2 )*Z( 2 )*DELSQ
*
*        The following TAU is DSIGMA * DSIGMA - D( 2 ) * D( 2 )
*
         IF( B.GT.ZERO ) THEN
            TAU = ( B+SQRT( B*B+FOUR*C ) ) / TWO
         ELSE
            TAU = TWO*C / ( -B+SQRT( B*B+FOUR*C ) )
         END IF
*
*        The following TAU is DSIGMA - D( 2 )
*
         TAU = TAU / ( D( 2 )+SQRT( D( 2 )*D( 2 )+TAU ) )
         DSIGMA = D( 2 ) + TAU
         DELTA( 1 ) = -( DEL+TAU )
         DELTA( 2 ) = -TAU
         WORK( 1 ) = D( 1 ) + TAU + D( 2 )
         WORK( 2 ) = TWO*D( 2 ) + TAU
*        DELTA( 1 ) = -Z( 1 ) / ( DEL+TAU )
*        DELTA( 2 ) = -Z( 2 ) / TAU
*        TEMP = SQRT( DELTA( 1 )*DELTA( 1 )+DELTA( 2 )*DELTA( 2 ) )
*        DELTA( 1 ) = DELTA( 1 ) / TEMP
*        DELTA( 2 ) = DELTA( 2 ) / TEMP
      END IF
      RETURN
*
*     End of SLASD5
*
      END