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#include "clapack.h"
/* Subroutine */ int slaev2_(real *a, real *b, real *c__, real *rt1, real *
rt2, real *cs1, real *sn1)
{
/* System generated locals */
real r__1;
/* Builtin functions */
double sqrt(doublereal);
/* Local variables */
real ab, df, cs, ct, tb, sm, tn, rt, adf, acs;
integer sgn1, sgn2;
real acmn, acmx;
/* -- LAPACK auxiliary routine (version 3.1) -- */
/* Univ. of Tennessee, Univ. of California Berkeley and NAG Ltd.. */
/* November 2006 */
/* .. Scalar Arguments .. */
/* .. */
/* 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 ]. */
/* Arguments */
/* ========= */
/* A (input) REAL */
/* The (1,1) element of the 2-by-2 matrix. */
/* B (input) REAL */
/* The (1,2) element and the conjugate of the (2,1) element of */
/* the 2-by-2 matrix. */
/* C (input) REAL */
/* The (2,2) element of the 2-by-2 matrix. */
/* RT1 (output) REAL */
/* The eigenvalue of larger absolute value. */
/* RT2 (output) REAL */
/* The eigenvalue of smaller absolute value. */
/* CS1 (output) REAL */
/* SN1 (output) REAL */
/* 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 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. */
/* ===================================================================== */
/* .. Parameters .. */
/* .. */
/* .. Local Scalars .. */
/* .. */
/* .. Intrinsic Functions .. */
/* .. */
/* .. Executable Statements .. */
/* Compute the eigenvalues */
sm = *a + *c__;
df = *a - *c__;
adf = dabs(df);
tb = *b + *b;
ab = dabs(tb);
if (dabs(*a) > dabs(*c__)) {
acmx = *a;
acmn = *c__;
} else {
acmx = *c__;
acmn = *a;
}
if (adf > ab) {
/* Computing 2nd power */
r__1 = ab / adf;
rt = adf * sqrt(r__1 * r__1 + 1.f);
} else if (adf < ab) {
/* Computing 2nd power */
r__1 = adf / ab;
rt = ab * sqrt(r__1 * r__1 + 1.f);
} else {
/* Includes case AB=ADF=0 */
rt = ab * sqrt(2.f);
}
if (sm < 0.f) {
*rt1 = (sm - rt) * .5f;
sgn1 = -1;
/* Order of execution important. */
/* To get fully accurate smaller eigenvalue, */
/* next line needs to be executed in higher precision. */
*rt2 = acmx / *rt1 * acmn - *b / *rt1 * *b;
} else if (sm > 0.f) {
*rt1 = (sm + rt) * .5f;
sgn1 = 1;
/* Order of execution important. */
/* To get fully accurate smaller eigenvalue, */
/* next line needs to be executed in higher precision. */
*rt2 = acmx / *rt1 * acmn - *b / *rt1 * *b;
} else {
/* Includes case RT1 = RT2 = 0 */
*rt1 = rt * .5f;
*rt2 = rt * -.5f;
sgn1 = 1;
}
/* Compute the eigenvector */
if (df >= 0.f) {
cs = df + rt;
sgn2 = 1;
} else {
cs = df - rt;
sgn2 = -1;
}
acs = dabs(cs);
if (acs > ab) {
ct = -tb / cs;
*sn1 = 1.f / sqrt(ct * ct + 1.f);
*cs1 = ct * *sn1;
} else {
if (ab == 0.f) {
*cs1 = 1.f;
*sn1 = 0.f;
} else {
tn = -cs / tb;
*cs1 = 1.f / sqrt(tn * tn + 1.f);
*sn1 = tn * *cs1;
}
}
if (sgn1 == sgn2) {
tn = *cs1;
*cs1 = -(*sn1);
*sn1 = tn;
}
return 0;
/* End of SLAEV2 */
} /* slaev2_ */