Provided by: liblapack-doc_3.12.0-3build1_all bug

NAME

       laev2 - laev2: 2x2 eig

SYNOPSIS

   Functions
       subroutine claev2 (a, b, c, rt1, rt2, cs1, sn1)
           CLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian
           matrix.
       subroutine dlaev2 (a, b, c, rt1, rt2, cs1, sn1)
           DLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian
           matrix.
       subroutine slaev2 (a, b, c, rt1, rt2, cs1, sn1)
           SLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian
           matrix.
       subroutine zlaev2 (a, b, c, rt1, rt2, cs1, sn1)
           ZLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian
           matrix.

Detailed Description

Function Documentation

   subroutine claev2 (complex a, complex b, complex c, real rt1, real rt2, real cs1, complex sn1)
       CLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian matrix.

       Purpose:

            CLAEV2 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
                    The (1,1) element of the 2-by-2 matrix.

           B

                     B is COMPLEX
                    The (1,2) element and the conjugate of the (2,1) element of
                    the 2-by-2 matrix.

           C

                     C is COMPLEX
                    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 COMPLEX
                    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.

       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.

   subroutine dlaev2 (double precision a, double precision b, double precision c, double
       precision rt1, double precision rt2, double precision cs1, double precision sn1)
       DLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian matrix.

       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 ].

       Parameters
           A

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

           B

                     B is DOUBLE PRECISION
                     The (1,2) element and the conjugate of the (2,1) element of
                     the 2-by-2 matrix.

           C

                     C is DOUBLE PRECISION
                     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 DOUBLE PRECISION
                     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.

       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.

   subroutine slaev2 (real a, real b, real c, real rt1, real rt2, real cs1, real sn1)
       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.

       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.

   subroutine zlaev2 (complex*16 a, complex*16 b, complex*16 c, double precision rt1, double
       precision rt2, double precision cs1, complex*16 sn1)
       ZLAEV2 computes the eigenvalues and eigenvectors of a 2-by-2 symmetric/Hermitian matrix.

       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.

       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.

Author

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