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zlaev2(3) [debian man page]

zlaev2.f(3)							      LAPACK							       zlaev2.f(3)

NAME
zlaev2.f - SYNOPSIS
Functions/Subroutines subroutine zlaev2 (A, B, C, RT1, RT2, CS1, SN1) ZLAEV2 Function/Subroutine Documentation subroutine zlaev2 (complex*16A, complex*16B, complex*16C, double precisionRT1, double precisionRT2, double precisionCS1, complex*16SN1) ZLAEV2 Purpose: 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: A A is COMPLEX*16 The (1,1) element of the 2-by-2 matrix. B B is COMPLEX*16 The (1,2) element and the conjugate of the (2,1) element of the 2-by-2 matrix. C C is COMPLEX*16 The (2,2) element of the 2-by-2 matrix. RT1 RT1 is DOUBLE PRECISION The eigenvalue of larger absolute value. RT2 RT2 is DOUBLE PRECISION The eigenvalue of smaller absolute value. CS1 CS1 is DOUBLE PRECISION SN1 SN1 is COMPLEX*16 The vector (CS1, SN1) is a unit right eigenvector for RT1. Author: Univ. of Tennessee Univ. of California Berkeley Univ. of Colorado Denver NAG Ltd. Date: November 2011 Further Details: 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 Generated automatically by Doxygen for LAPACK from the source code. Version 3.4.1 Sun May 26 2013 zlaev2.f(3)

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ZLAEV2(l)								 )								 ZLAEV2(l)

NAME
ZLAEV2 - compute the eigendecomposition of a 2-by-2 Hermitian matrix [ A B ] [ CONJG(B) C ] SYNOPSIS
SUBROUTINE ZLAEV2( A, B, C, RT1, RT2, CS1, SN1 ) DOUBLE PRECISION CS1, RT1, RT2 COMPLEX*16 A, B, C, SN1 PURPOSE
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 decomposi- tion [ CS1 CONJG(SN1) ] [ A B ] [ CS1 -CONJG(SN1) ] = [ RT1 0 ] [-SN1 CS1 ] [ CONJG(B) C ] [ SN1 CS1 ] [ 0 RT2 ]. ARGUMENTS
A (input) COMPLEX*16 The (1,1) element of the 2-by-2 matrix. B (input) COMPLEX*16 The (1,2) element and the conjugate of the (2,1) element of the 2-by-2 matrix. C (input) COMPLEX*16 The (2,2) element of the 2-by-2 matrix. RT1 (output) DOUBLE PRECISION The eigenvalue of larger absolute value. RT2 (output) DOUBLE PRECISION The eigenvalue of smaller absolute value. CS1 (output) DOUBLE PRECISION SN1 (output) COMPLEX*16 The vector (CS1, SN1) is a unit right eigenvector for RT1. FURTHER DETAILS
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 trun- cated 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. LAPACK version 3.0 15 June 2000 ZLAEV2(l)
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