File: template_lapack_lae2.h

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/* Ergo, version 3.8.2, a program for linear scaling electronic structure
 * calculations.
 * Copyright (C) 2023 Elias Rudberg, Emanuel H. Rubensson, Pawel Salek,
 * and Anastasia Kruchinina.
 * 
 * This program is free software: you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation, either version 3 of the License, or
 * (at your option) any later version.
 * 
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 * 
 * You should have received a copy of the GNU General Public License
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.
 * 
 * Primary academic reference:
 * Ergo: An open-source program for linear-scaling electronic structure
 * calculations,
 * Elias Rudberg, Emanuel H. Rubensson, Pawel Salek, and Anastasia
 * Kruchinina,
 * SoftwareX 7, 107 (2018),
 * <http://dx.doi.org/10.1016/j.softx.2018.03.005>
 * 
 * For further information about Ergo, see <http://www.ergoscf.org>.
 */
 
 /* This file belongs to the template_lapack part of the Ergo source 
  * code. The source files in the template_lapack directory are modified
  * versions of files originally distributed as CLAPACK, see the
  * Copyright/license notice in the file template_lapack/COPYING.
  */
 

#ifndef TEMPLATE_LAPACK_LAE2_HEADER
#define TEMPLATE_LAPACK_LAE2_HEADER


template<class Treal>
int template_lapack_lae2(const Treal *a, const Treal *b, const Treal *c__, 
	Treal *rt1, Treal *rt2)
{
/*  -- LAPACK auxiliary routine (version 3.0) --   
       Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,   
       Courant Institute, Argonne National Lab, and Rice University   
       October 31, 1992   


    Purpose   
    =======   

    DLAE2  computes the eigenvalues of a 2-by-2 symmetric matrix   
       [  A   B  ]   
       [  B   C  ].   
    On return, RT1 is the eigenvalue of larger absolute value, and RT2   
    is the eigenvalue of smaller absolute value.   

    Arguments   
    =========   

    A       (input) DOUBLE PRECISION   
            The (1,1) element of the 2-by-2 matrix.   

    B       (input) DOUBLE PRECISION   
            The (1,2) and (2,1) elements of the 2-by-2 matrix.   

    C       (input) DOUBLE PRECISION   
            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.   

    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.   

    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.   

   =====================================================================   


       Compute the eigenvalues */
    /* System generated locals */
    Treal d__1;
    /* Local variables */
     Treal acmn, acmx, ab, df, tb, sm, rt, adf;


    sm = *a + *c__;
    df = *a - *c__;
    adf = absMACRO(df);
    tb = *b + *b;
    ab = absMACRO(tb);
    if (absMACRO(*a) > absMACRO(*c__)) {
	acmx = *a;
	acmn = *c__;
    } else {
	acmx = *c__;
	acmn = *a;
    }
    if (adf > ab) {
/* Computing 2nd power */
	d__1 = ab / adf;
	rt = adf * template_blas_sqrt(d__1 * d__1 + 1.);
    } else if (adf < ab) {
/* Computing 2nd power */
	d__1 = adf / ab;
	rt = ab * template_blas_sqrt(d__1 * d__1 + 1.);
    } else {

/*        Includes case AB=ADF=0 */

	rt = ab * template_blas_sqrt(2.);
    }
    if (sm < 0.) {
	*rt1 = (sm - rt) * .5;

/*        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.) {
	*rt1 = (sm + rt) * .5;

/*        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 * .5;
	*rt2 = rt * -.5;
    }
    return 0;

/*     End of DLAE2 */

} /* dlae2_ */

#endif