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SUBROUTINE DLAEV2( A, B, C, RT1, RT2, CS1, SN1 )** -- 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** .. Scalar Arguments ..DOUBLE PRECISION A, B, C, CS1, RT1, RT2, SN1* ..** Purpose* =======** DLAEV2 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) DOUBLE PRECISION* The (1,1) element of the 2-by-2 matrix.** B (input) DOUBLE PRECISION* The (1,2) element and the conjugate of the (2,1) element 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.** CS1 (output) DOUBLE PRECISION* SN1 (output) DOUBLE PRECISION* 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 ..DOUBLE PRECISION ONEPARAMETER ( ONE = 1.0D0 )DOUBLE PRECISION TWOPARAMETER ( TWO = 2.0D0 )DOUBLE PRECISION ZEROPARAMETER ( ZERO = 0.0D0 )DOUBLE PRECISION HALFPARAMETER ( HALF = 0.5D0 )* ..* .. Local Scalars ..INTEGER SGN1, SGN2DOUBLE PRECISION AB, ACMN, ACMX, ACS, ADF, CS, CT, DF, RT, SM,$ TB, TN* ..* .. Intrinsic Functions ..INTRINSIC ABS, SQRT* ..* .. Executable Statements ..** Compute the eigenvalues*SM = A + CDF = A - CADF = ABS( DF )TB = B + BAB = ABS( TB )IF( ABS( A ).GT.ABS( C ) ) THENACMX = AACMN = CELSEACMX = CACMN = AEND IFIF( ADF.GT.AB ) THENRT = ADF*SQRT( ONE+( AB / ADF )**2 )ELSE IF( ADF.LT.AB ) THENRT = AB*SQRT( ONE+( ADF / AB )**2 )ELSE** Includes case AB=ADF=0*RT = AB*SQRT( TWO )END IFIF( SM.LT.ZERO ) THENRT1 = HALF*( SM-RT )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 )*BELSE IF( SM.GT.ZERO ) THENRT1 = HALF*( SM+RT )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 )*BELSE** Includes case RT1 = RT2 = 0*RT1 = HALF*RTRT2 = -HALF*RTSGN1 = 1END IF** Compute the eigenvector*IF( DF.GE.ZERO ) THENCS = DF + RTSGN2 = 1ELSECS = DF - RTSGN2 = -1END IFACS = ABS( CS )IF( ACS.GT.AB ) THENCT = -TB / CSSN1 = ONE / SQRT( ONE+CT*CT )CS1 = CT*SN1ELSEIF( AB.EQ.ZERO ) THENCS1 = ONESN1 = ZEROELSETN = -CS / TBCS1 = ONE / SQRT( ONE+TN*TN )SN1 = TN*CS1END IFEND IFIF( SGN1.EQ.SGN2 ) THENTN = CS1CS1 = -SN1SN1 = TNEND IFRETURN** End of DLAEV2*END