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- DDDDLLLLAAAAIIIICCCC1111((((3333FFFF)))) DDDDLLLLAAAAIIIICCCC1111((((3333FFFF))))
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- NNNNAAAAMMMMEEEE
- DLAIC1 - applie one step of incremental condition estimation in its
- simplest version
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- SSSSYYYYNNNNOOOOPPPPSSSSIIIISSSS
- SUBROUTINE DLAIC1( JOB, J, X, SEST, W, GAMMA, SESTPR, S, C )
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- INTEGER J, JOB
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- DOUBLE PRECISION C, GAMMA, S, SEST, SESTPR
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- DOUBLE PRECISION W( J ), X( J )
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- PPPPUUUURRRRPPPPOOOOSSSSEEEE
- DLAIC1 applies one step of incremental condition estimation in its
- simplest version:
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- 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' gamma ]
- in the sense that
- twonorm(Lhat*xhat) = sestpr.
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- Depending on JOB, an estimate for the largest or smallest singular value
- is computed.
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- Note that [s c]' and sestpr**2 is an eigenpair of the system
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- diag(sest*sest, 0) + [alpha gamma] * [ alpha ]
- [ gamma ]
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- where alpha = x'*w.
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- AAAARRRRGGGGUUUUMMMMEEEENNNNTTTTSSSS
- JOB (input) 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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- J (input) INTEGER
- Length of X and W
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- X (input) DOUBLE PRECISION array, dimension (J)
- The j-vector x.
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- PPPPaaaaggggeeee 1111
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- DDDDLLLLAAAAIIIICCCC1111((((3333FFFF)))) DDDDLLLLAAAAIIIICCCC1111((((3333FFFF))))
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- SEST (input) DOUBLE PRECISION
- Estimated singular value of j by j matrix L
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- W (input) DOUBLE PRECISION array, dimension (J)
- The j-vector w.
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- GAMMA (input) DOUBLE PRECISION
- The diagonal element gamma.
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- SEDTPR (output) DOUBLE PRECISION
- Estimated singular value of (j+1) by (j+1) matrix Lhat.
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- S (output) DOUBLE PRECISION
- Sine needed in forming xhat.
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- C (output) DOUBLE PRECISION
- Cosine needed in forming xhat.
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- PPPPaaaaggggeeee 2222
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