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- DDDDLLLLAAAAEEEEVVVV2222((((3333FFFF)))) DDDDLLLLAAAAEEEEVVVV2222((((3333FFFF))))
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- DLAEV2 - compute the eigendecomposition of a 2-by-2 symmetric matrix [ A
- B ] [ B C ]
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- SUBROUTINE DLAEV2( A, B, C, RT1, RT2, CS1, SN1 )
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- DOUBLE PRECISION A, B, C, CS1, RT1, RT2, SN1
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- PPPPUUUURRRRPPPPOOOOSSSSEEEE
- DLAEV2 computes the eigendecomposition of a 2-by-2 symmetric matrix
- [ A B ]
- [ B C ]. On return, RT1 is the eigenvalue of larger absolute
- value, RT2 is the eigenvalue of smaller absolute value, and (CS1,SN1) is
- the unit right eigenvector for RT1, giving the decomposition
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- [ CS1 SN1 ] [ A B ] [ CS1 -SN1 ] = [ RT1 0 ]
- [-SN1 CS1 ] [ B C ] [ SN1 CS1 ] [ 0 RT2 ].
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- A (input) DOUBLE PRECISION
- The (1,1) element of the 2-by-2 matrix.
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- B (input) DOUBLE PRECISION
- The (1,2) element and the conjugate of the (2,1) element of the
- 2-by-2 matrix.
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- C (input) DOUBLE PRECISION
- The (2,2) element of the 2-by-2 matrix.
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- RT1 (output) DOUBLE PRECISION
- The eigenvalue of larger absolute value.
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- RT2 (output) DOUBLE PRECISION
- The eigenvalue of smaller absolute value.
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- CS1 (output) DOUBLE PRECISION
- SN1 (output) DOUBLE PRECISION The vector (CS1, SN1) is a unit
- right eigenvector for RT1.
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- FFFFUUUURRRRTTTTHHHHEEEERRRR DDDDEEEETTTTAAAAIIIILLLLSSSS
- RT1 is accurate to a few ulps barring over/underflow.
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- RT2 may be inaccurate if there is massive cancellation in the determinant
- A*C-B*B; higher precision or correctly rounded or correctly truncated
- arithmetic would be needed to compute RT2 accurately in all cases.
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- CS1 and SN1 are accurate to a few ulps barring over/underflow.
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- Overflow is possible only if RT1 is within a factor of 5 of overflow.
- Underflow is harmless if the input data is 0 or exceeds
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- PPPPaaaaggggeeee 1111
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- underflow_threshold / macheps.
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- PPPPaaaaggggeeee 2222
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