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LAPACK
3.4.0
LAPACK: Linear Algebra PACKage
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Go to the source code of this file.
Functions/Subroutines | |
| subroutine | DLAIC1 (JOB, J, X, SEST, W, GAMMA, SESTPR, S, C) |
| DLAIC1 | |
| subroutine DLAIC1 | ( | INTEGER | JOB, |
| INTEGER | J, | ||
| DOUBLE PRECISION, dimension( j ) | X, | ||
| DOUBLE PRECISION | SEST, | ||
| DOUBLE PRECISION, dimension( j ) | W, | ||
| DOUBLE PRECISION | GAMMA, | ||
| DOUBLE PRECISION | SESTPR, | ||
| DOUBLE PRECISION | S, | ||
| DOUBLE PRECISION | C | ||
| ) |
DLAIC1
Download DLAIC1 + dependencies [TGZ] [ZIP] [TXT]
DLAIC1 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 DLAIC1 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.
| [in] | JOB |
JOB is INTEGER
= 1: an estimate for the largest singular value is computed.
= 2: an estimate for the smallest singular value is computed.
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| [in] | J |
J is INTEGER
Length of X and W
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| [in] | X |
X is DOUBLE PRECISION array, dimension (J)
The j-vector x.
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| [in] | SEST |
SEST is DOUBLE PRECISION
Estimated singular value of j by j matrix L
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| [in] | W |
W is DOUBLE PRECISION array, dimension (J)
The j-vector w.
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| [in] | GAMMA |
GAMMA is DOUBLE PRECISION
The diagonal element gamma.
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| [out] | SESTPR |
SESTPR is DOUBLE PRECISION
Estimated singular value of (j+1) by (j+1) matrix Lhat.
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| [out] | S |
S is DOUBLE PRECISION
Sine needed in forming xhat.
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| [out] | C |
C is DOUBLE PRECISION
Cosine needed in forming xhat.
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Definition at line 135 of file dlaic1.f.