zlaev2 (3) - Linux Manuals
NAME
zlaev2.f -
SYNOPSIS
Functions/Subroutines
subroutine zlaev2 (A, B, C, RT1, RT2, CS1, SN1)
ZLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian matrix.
Function/Subroutine Documentation
subroutine zlaev2 (complex*16A, complex*16B, complex*16C, double precisionRT1, double precisionRT2, double precisionCS1, complex*16SN1)
ZLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian matrix.
Purpose:
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ZLAEV2 computes the eigendecomposition of a 2-by-2 Hermitian matrix [ A B ] [ CONJG(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 [ CS1 CONJG(SN1) ] [ A B ] [ CS1 -CONJG(SN1) ] = [ RT1 0 ] [-SN1 CS1 ] [ CONJG(B) C ] [ SN1 CS1 ] [ 0 RT2 ].
Parameters:
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A
A is COMPLEX*16 The (1,1) element of the 2-by-2 matrix.
BB is COMPLEX*16 The (1,2) element and the conjugate of the (2,1) element of the 2-by-2 matrix.
CC is COMPLEX*16 The (2,2) element of the 2-by-2 matrix.
RT1RT1 is DOUBLE PRECISION The eigenvalue of larger absolute value.
RT2RT2 is DOUBLE PRECISION The eigenvalue of smaller absolute value.
CS1CS1 is DOUBLE PRECISION
SN1SN1 is COMPLEX*16 The vector (CS1, SN1) is a unit right eigenvector for RT1.
Author:
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Univ. of Tennessee
Univ. of California Berkeley
Univ. of Colorado Denver
NAG Ltd.
Date:
- September 2012
Further Details:
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RT1 is accurate to a few ulps barring over/underflow. 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. CS1 and SN1 are accurate to a few ulps barring over/underflow. 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 underflow_threshold / macheps.
Definition at line 122 of file zlaev2.f.
Author
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