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CentOS 7.0 - man page for slaev2 (centos section 3)

slaev2.f(3)							      LAPACK							       slaev2.f(3)

NAME
slaev2.f -
SYNOPSIS
Functions/Subroutines subroutine slaev2 (A, B, C, RT1, RT2, CS1, SN1) SLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian matrix. Function/Subroutine Documentation subroutine slaev2 (realA, realB, realC, realRT1, realRT2, realCS1, realSN1) SLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian matrix. Purpose: SLAEV2 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 [ CS1 SN1 ] [ A B ] [ CS1 -SN1 ] = [ RT1 0 ] [-SN1 CS1 ] [ B C ] [ SN1 CS1 ] [ 0 RT2 ]. Parameters: A A is REAL The (1,1) element of the 2-by-2 matrix. B B is REAL The (1,2) element and the conjugate of the (2,1) element of the 2-by-2 matrix. C C is REAL The (2,2) element of the 2-by-2 matrix. RT1 RT1 is REAL The eigenvalue of larger absolute value. RT2 RT2 is REAL The eigenvalue of smaller absolute value. CS1 CS1 is REAL SN1 SN1 is REAL 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: September 2012 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 121 of file slaev2.f. Author Generated automatically by Doxygen for LAPACK from the source code. Version 3.4.2 Tue Sep 25 2012 slaev2.f(3)