Slaic1.f -
subroutine slaic1 (JOB, J, X, SEST, W, GAMMA, SESTPR, S, C)
SLAIC1 applies one step of incremental condition estimation.
SLAIC1 applies one step of incremental condition estimation.
Purpose:
 SLAIC1 applies one step of incremental condition estimation in
 its simplest version:
 Let x, twonorm(x) = 1, be an approximate singular vector of an j-by-j
 lower triangular matrix L, such that
          twonorm(L*x) = sest
 Then SLAIC1 computes sestpr, s, c such that
 the vector
                 [ s*x ]
          xhat = [  c  ]
 is an approximate singular vector of
                 [ L      0  ]
          Lhat = [ w**T gamma ]
 in the sense that
          twonorm(Lhat*xhat) = sestpr.
 Depending on JOB, an estimate for the largest or smallest singular
 value is computed.
 Note that [s c]**T and sestpr**2 is an eigenpair of the system
     diag(sest*sest, 0) + [alpha  gamma] * [ alpha ]
                                           [ gamma ]
 where  alpha =  x**T*w.
Parameters:
JOB
          JOB is INTEGER
          = 1: an estimate for the largest singular value is computed.
          = 2: an estimate for the smallest singular value is computed.
J
          J is INTEGER
          Length of X and W
X
          X is REAL array, dimension (J)
          The j-vector x.
SEST
          SEST is REAL
          Estimated singular value of j by j matrix L
W
          W is REAL array, dimension (J)
          The j-vector w.
GAMMA
          GAMMA is REAL
          The diagonal element gamma.
SESTPR
          SESTPR is REAL
          Estimated singular value of (j+1) by (j+1) matrix Lhat.
S
          S is REAL
          Sine needed in forming xhat.
C
          C is REAL
          Cosine needed in forming xhat.
Author:
Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
September 2012
Definition at line 135 of file slaic1.f.
Generated automatically by Doxygen for LAPACK from the source code.