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

NAME

       ptsvx - ptsvx: factor and solve, expert

SYNOPSIS

   Functions
       subroutine cptsvx (fact, n, nrhs, d, e, df, ef, b, ldb, x, ldx, rcond, ferr, berr, work,
           rwork, info)
            CPTSVX computes the solution to system of linear equations A * X = B for PT matrices
       subroutine dptsvx (fact, n, nrhs, d, e, df, ef, b, ldb, x, ldx, rcond, ferr, berr, work,
           info)
            DPTSVX computes the solution to system of linear equations A * X = B for PT matrices
       subroutine sptsvx (fact, n, nrhs, d, e, df, ef, b, ldb, x, ldx, rcond, ferr, berr, work,
           info)
            SPTSVX computes the solution to system of linear equations A * X = B for PT matrices
       subroutine zptsvx (fact, n, nrhs, d, e, df, ef, b, ldb, x, ldx, rcond, ferr, berr, work,
           rwork, info)
            ZPTSVX computes the solution to system of linear equations A * X = B for PT matrices

Detailed Description

Function Documentation

   subroutine cptsvx (character fact, integer n, integer nrhs, real, dimension( * ) d, complex,
       dimension( * ) e, real, dimension( * ) df, complex, dimension( * ) ef, complex, dimension(
       ldb, * ) b, integer ldb, complex, dimension( ldx, * ) x, integer ldx, real rcond, real,
       dimension( * ) ferr, real, dimension( * ) berr, complex, dimension( * ) work, real,
       dimension( * ) rwork, integer info)
        CPTSVX computes the solution to system of linear equations A * X = B for PT matrices

       Purpose:

            CPTSVX uses the factorization A = L*D*L**H to compute the solution
            to a complex system of linear equations A*X = B, where A is an
            N-by-N Hermitian positive definite tridiagonal matrix and X and B
            are N-by-NRHS matrices.

            Error bounds on the solution and a condition estimate are also
            provided.

       Description:

            The following steps are performed:

            1. If FACT = 'N', the matrix A is factored as A = L*D*L**H, where L
               is a unit lower bidiagonal matrix and D is diagonal.  The
               factorization can also be regarded as having the form
               A = U**H*D*U.

            2. If the leading principal minor of order i is not positive,
               then the routine returns with INFO = i. Otherwise, the factored
               form of A is used to estimate the condition number of the matrix
               A.  If the reciprocal of the condition number is less than machine
               precision, INFO = N+1 is returned as a warning, but the routine
               still goes on to solve for X and compute error bounds as
               described below.

            3. The system of equations is solved for X using the factored form
               of A.

            4. Iterative refinement is applied to improve the computed solution
               matrix and calculate error bounds and backward error estimates
               for it.

       Parameters
           FACT

                     FACT is CHARACTER*1
                     Specifies whether or not the factored form of the matrix
                     A is supplied on entry.
                     = 'F':  On entry, DF and EF contain the factored form of A.
                             D, E, DF, and EF will not be modified.
                     = 'N':  The matrix A will be copied to DF and EF and
                             factored.

           N

                     N is INTEGER
                     The order of the matrix A.  N >= 0.

           NRHS

                     NRHS is INTEGER
                     The number of right hand sides, i.e., the number of columns
                     of the matrices B and X.  NRHS >= 0.

           D

                     D is REAL array, dimension (N)
                     The n diagonal elements of the tridiagonal matrix A.

           E

                     E is COMPLEX array, dimension (N-1)
                     The (n-1) subdiagonal elements of the tridiagonal matrix A.

           DF

                     DF is REAL array, dimension (N)
                     If FACT = 'F', then DF is an input argument and on entry
                     contains the n diagonal elements of the diagonal matrix D
                     from the L*D*L**H factorization of A.
                     If FACT = 'N', then DF is an output argument and on exit
                     contains the n diagonal elements of the diagonal matrix D
                     from the L*D*L**H factorization of A.

           EF

                     EF is COMPLEX array, dimension (N-1)
                     If FACT = 'F', then EF is an input argument and on entry
                     contains the (n-1) subdiagonal elements of the unit
                     bidiagonal factor L from the L*D*L**H factorization of A.
                     If FACT = 'N', then EF is an output argument and on exit
                     contains the (n-1) subdiagonal elements of the unit
                     bidiagonal factor L from the L*D*L**H factorization of A.

           B

                     B is COMPLEX array, dimension (LDB,NRHS)
                     The N-by-NRHS right hand side matrix B.

           LDB

                     LDB is INTEGER
                     The leading dimension of the array B.  LDB >= max(1,N).

           X

                     X is COMPLEX array, dimension (LDX,NRHS)
                     If INFO = 0 or INFO = N+1, the N-by-NRHS solution matrix X.

           LDX

                     LDX is INTEGER
                     The leading dimension of the array X.  LDX >= max(1,N).

           RCOND

                     RCOND is REAL
                     The reciprocal condition number of the matrix A.  If RCOND
                     is less than the machine precision (in particular, if
                     RCOND = 0), the matrix is singular to working precision.
                     This condition is indicated by a return code of INFO > 0.

           FERR

                     FERR is REAL array, dimension (NRHS)
                     The forward error bound for each solution vector
                     X(j) (the j-th column of the solution matrix X).
                     If XTRUE is the true solution corresponding to X(j), FERR(j)
                     is an estimated upper bound for the magnitude of the largest
                     element in (X(j) - XTRUE) divided by the magnitude of the
                     largest element in X(j).

           BERR

                     BERR is REAL array, dimension (NRHS)
                     The componentwise relative backward error of each solution
                     vector X(j) (i.e., the smallest relative change in any
                     element of A or B that makes X(j) an exact solution).

           WORK

                     WORK is COMPLEX array, dimension (N)

           RWORK

                     RWORK is REAL array, dimension (N)

           INFO

                     INFO is INTEGER
                     = 0:  successful exit
                     < 0:  if INFO = -i, the i-th argument had an illegal value
                     > 0:  if INFO = i, and i is
                           <= N:  the leading principal minor of order i of A
                                  is not positive, so the factorization could not
                                  be completed, and the solution has not been
                                  computed. RCOND = 0 is returned.
                           = N+1: U is nonsingular, but RCOND is less than machine
                                  precision, meaning that the matrix is singular
                                  to working precision.  Nevertheless, the
                                  solution and error bounds are computed because
                                  there are a number of situations where the
                                  computed solution can be more accurate than the
                                  value of RCOND would suggest.

       Author
           Univ. of Tennessee

           Univ. of California Berkeley

           Univ. of Colorado Denver

           NAG Ltd.

   subroutine dptsvx (character fact, integer n, integer nrhs, double precision, dimension( * )
       d, double precision, dimension( * ) e, double precision, dimension( * ) df, double
       precision, dimension( * ) ef, double precision, dimension( ldb, * ) b, integer ldb, double
       precision, dimension( ldx, * ) x, integer ldx, double precision rcond, double precision,
       dimension( * ) ferr, double precision, dimension( * ) berr, double precision, dimension( *
       ) work, integer info)
        DPTSVX computes the solution to system of linear equations A * X = B for PT matrices

       Purpose:

            DPTSVX uses the factorization A = L*D*L**T to compute the solution
            to a real system of linear equations A*X = B, where A is an N-by-N
            symmetric positive definite tridiagonal matrix and X and B are
            N-by-NRHS matrices.

            Error bounds on the solution and a condition estimate are also
            provided.

       Description:

            The following steps are performed:

            1. If FACT = 'N', the matrix A is factored as A = L*D*L**T, where L
               is a unit lower bidiagonal matrix and D is diagonal.  The
               factorization can also be regarded as having the form
               A = U**T*D*U.

            2. If the leading principal minor of order i is not positive,
               then the routine returns with INFO = i. Otherwise, the factored
               form of A is used to estimate the condition number of the matrix
               A.  If the reciprocal of the condition number is less than machine
               precision, INFO = N+1 is returned as a warning, but the routine
               still goes on to solve for X and compute error bounds as
               described below.

            3. The system of equations is solved for X using the factored form
               of A.

            4. Iterative refinement is applied to improve the computed solution
               matrix and calculate error bounds and backward error estimates
               for it.

       Parameters
           FACT

                     FACT is CHARACTER*1
                     Specifies whether or not the factored form of A has been
                     supplied on entry.
                     = 'F':  On entry, DF and EF contain the factored form of A.
                             D, E, DF, and EF will not be modified.
                     = 'N':  The matrix A will be copied to DF and EF and
                             factored.

           N

                     N is INTEGER
                     The order of the matrix A.  N >= 0.

           NRHS

                     NRHS is INTEGER
                     The number of right hand sides, i.e., the number of columns
                     of the matrices B and X.  NRHS >= 0.

           D

                     D is DOUBLE PRECISION array, dimension (N)
                     The n diagonal elements of the tridiagonal matrix A.

           E

                     E is DOUBLE PRECISION array, dimension (N-1)
                     The (n-1) subdiagonal elements of the tridiagonal matrix A.

           DF

                     DF is DOUBLE PRECISION array, dimension (N)
                     If FACT = 'F', then DF is an input argument and on entry
                     contains the n diagonal elements of the diagonal matrix D
                     from the L*D*L**T factorization of A.
                     If FACT = 'N', then DF is an output argument and on exit
                     contains the n diagonal elements of the diagonal matrix D
                     from the L*D*L**T factorization of A.

           EF

                     EF is DOUBLE PRECISION array, dimension (N-1)
                     If FACT = 'F', then EF is an input argument and on entry
                     contains the (n-1) subdiagonal elements of the unit
                     bidiagonal factor L from the L*D*L**T factorization of A.
                     If FACT = 'N', then EF is an output argument and on exit
                     contains the (n-1) subdiagonal elements of the unit
                     bidiagonal factor L from the L*D*L**T factorization of A.

           B

                     B is DOUBLE PRECISION array, dimension (LDB,NRHS)
                     The N-by-NRHS right hand side matrix B.

           LDB

                     LDB is INTEGER
                     The leading dimension of the array B.  LDB >= max(1,N).

           X

                     X is DOUBLE PRECISION array, dimension (LDX,NRHS)
                     If INFO = 0 of INFO = N+1, the N-by-NRHS solution matrix X.

           LDX

                     LDX is INTEGER
                     The leading dimension of the array X.  LDX >= max(1,N).

           RCOND

                     RCOND is DOUBLE PRECISION
                     The reciprocal condition number of the matrix A.  If RCOND
                     is less than the machine precision (in particular, if
                     RCOND = 0), the matrix is singular to working precision.
                     This condition is indicated by a return code of INFO > 0.

           FERR

                     FERR is DOUBLE PRECISION array, dimension (NRHS)
                     The forward error bound for each solution vector
                     X(j) (the j-th column of the solution matrix X).
                     If XTRUE is the true solution corresponding to X(j), FERR(j)
                     is an estimated upper bound for the magnitude of the largest
                     element in (X(j) - XTRUE) divided by the magnitude of the
                     largest element in X(j).

           BERR

                     BERR is DOUBLE PRECISION array, dimension (NRHS)
                     The componentwise relative backward error of each solution
                     vector X(j) (i.e., the smallest relative change in any
                     element of A or B that makes X(j) an exact solution).

           WORK

                     WORK is DOUBLE PRECISION array, dimension (2*N)

           INFO

                     INFO is INTEGER
                     = 0:  successful exit
                     < 0:  if INFO = -i, the i-th argument had an illegal value
                     > 0:  if INFO = i, and i is
                           <= N:  the leading principal minor of order i of A
                                  is not positive, so the factorization could not
                                  be completed, and the solution has not been
                                  computed. RCOND = 0 is returned.
                           = N+1: U is nonsingular, but RCOND is less than machine
                                  precision, meaning that the matrix is singular
                                  to working precision.  Nevertheless, the
                                  solution and error bounds are computed because
                                  there are a number of situations where the
                                  computed solution can be more accurate than the
                                  value of RCOND would suggest.

       Author
           Univ. of Tennessee

           Univ. of California Berkeley

           Univ. of Colorado Denver

           NAG Ltd.

   subroutine sptsvx (character fact, integer n, integer nrhs, real, dimension( * ) d, real,
       dimension( * ) e, real, dimension( * ) df, real, dimension( * ) ef, real, dimension( ldb,
       * ) b, integer ldb, real, dimension( ldx, * ) x, integer ldx, real rcond, real, dimension(
       * ) ferr, real, dimension( * ) berr, real, dimension( * ) work, integer info)
        SPTSVX computes the solution to system of linear equations A * X = B for PT matrices

       Purpose:

            SPTSVX uses the factorization A = L*D*L**T to compute the solution
            to a real system of linear equations A*X = B, where A is an N-by-N
            symmetric positive definite tridiagonal matrix and X and B are
            N-by-NRHS matrices.

            Error bounds on the solution and a condition estimate are also
            provided.

       Description:

            The following steps are performed:

            1. If FACT = 'N', the matrix A is factored as A = L*D*L**T, where L
               is a unit lower bidiagonal matrix and D is diagonal.  The
               factorization can also be regarded as having the form
               A = U**T*D*U.

            2. If the leading principal minor of order i is not positive,
               then the routine returns with INFO = i. Otherwise, the factored
               form of A is used to estimate the condition number of the matrix
               A.  If the reciprocal of the condition number is less than machine
               precision, INFO = N+1 is returned as a warning, but the routine
               still goes on to solve for X and compute error bounds as
               described below.

            3. The system of equations is solved for X using the factored form
               of A.

            4. Iterative refinement is applied to improve the computed solution
               matrix and calculate error bounds and backward error estimates
               for it.

       Parameters
           FACT

                     FACT is CHARACTER*1
                     Specifies whether or not the factored form of A has been
                     supplied on entry.
                     = 'F':  On entry, DF and EF contain the factored form of A.
                             D, E, DF, and EF will not be modified.
                     = 'N':  The matrix A will be copied to DF and EF and
                             factored.

           N

                     N is INTEGER
                     The order of the matrix A.  N >= 0.

           NRHS

                     NRHS is INTEGER
                     The number of right hand sides, i.e., the number of columns
                     of the matrices B and X.  NRHS >= 0.

           D

                     D is REAL array, dimension (N)
                     The n diagonal elements of the tridiagonal matrix A.

           E

                     E is REAL array, dimension (N-1)
                     The (n-1) subdiagonal elements of the tridiagonal matrix A.

           DF

                     DF is REAL array, dimension (N)
                     If FACT = 'F', then DF is an input argument and on entry
                     contains the n diagonal elements of the diagonal matrix D
                     from the L*D*L**T factorization of A.
                     If FACT = 'N', then DF is an output argument and on exit
                     contains the n diagonal elements of the diagonal matrix D
                     from the L*D*L**T factorization of A.

           EF

                     EF is REAL array, dimension (N-1)
                     If FACT = 'F', then EF is an input argument and on entry
                     contains the (n-1) subdiagonal elements of the unit
                     bidiagonal factor L from the L*D*L**T factorization of A.
                     If FACT = 'N', then EF is an output argument and on exit
                     contains the (n-1) subdiagonal elements of the unit
                     bidiagonal factor L from the L*D*L**T factorization of A.

           B

                     B is REAL array, dimension (LDB,NRHS)
                     The N-by-NRHS right hand side matrix B.

           LDB

                     LDB is INTEGER
                     The leading dimension of the array B.  LDB >= max(1,N).

           X

                     X is REAL array, dimension (LDX,NRHS)
                     If INFO = 0 of INFO = N+1, the N-by-NRHS solution matrix X.

           LDX

                     LDX is INTEGER
                     The leading dimension of the array X.  LDX >= max(1,N).

           RCOND

                     RCOND is REAL
                     The reciprocal condition number of the matrix A.  If RCOND
                     is less than the machine precision (in particular, if
                     RCOND = 0), the matrix is singular to working precision.
                     This condition is indicated by a return code of INFO > 0.

           FERR

                     FERR is REAL array, dimension (NRHS)
                     The forward error bound for each solution vector
                     X(j) (the j-th column of the solution matrix X).
                     If XTRUE is the true solution corresponding to X(j), FERR(j)
                     is an estimated upper bound for the magnitude of the largest
                     element in (X(j) - XTRUE) divided by the magnitude of the
                     largest element in X(j).

           BERR

                     BERR is REAL array, dimension (NRHS)
                     The componentwise relative backward error of each solution
                     vector X(j) (i.e., the smallest relative change in any
                     element of A or B that makes X(j) an exact solution).

           WORK

                     WORK is REAL array, dimension (2*N)

           INFO

                     INFO is INTEGER
                     = 0:  successful exit
                     < 0:  if INFO = -i, the i-th argument had an illegal value
                     > 0:  if INFO = i, and i is
                           <= N:  the leading principal minor of order i of A
                                  is not positive, so the factorization could not
                                  be completed, and the solution has not been
                                  computed. RCOND = 0 is returned.
                           = N+1: U is nonsingular, but RCOND is less than machine
                                  precision, meaning that the matrix is singular
                                  to working precision.  Nevertheless, the
                                  solution and error bounds are computed because
                                  there are a number of situations where the
                                  computed solution can be more accurate than the
                                  value of RCOND would suggest.

       Author
           Univ. of Tennessee

           Univ. of California Berkeley

           Univ. of Colorado Denver

           NAG Ltd.

   subroutine zptsvx (character fact, integer n, integer nrhs, double precision, dimension( * )
       d, complex*16, dimension( * ) e, double precision, dimension( * ) df, complex*16,
       dimension( * ) ef, complex*16, dimension( ldb, * ) b, integer ldb, complex*16, dimension(
       ldx, * ) x, integer ldx, double precision rcond, double precision, dimension( * ) ferr,
       double precision, dimension( * ) berr, complex*16, dimension( * ) work, double precision,
       dimension( * ) rwork, integer info)
        ZPTSVX computes the solution to system of linear equations A * X = B for PT matrices

       Purpose:

            ZPTSVX uses the factorization A = L*D*L**H to compute the solution
            to a complex system of linear equations A*X = B, where A is an
            N-by-N Hermitian positive definite tridiagonal matrix and X and B
            are N-by-NRHS matrices.

            Error bounds on the solution and a condition estimate are also
            provided.

       Description:

            The following steps are performed:

            1. If FACT = 'N', the matrix A is factored as A = L*D*L**H, where L
               is a unit lower bidiagonal matrix and D is diagonal.  The
               factorization can also be regarded as having the form
               A = U**H*D*U.

            2. If the leading principal minor of order i is not positive,
               then the routine returns with INFO = i. Otherwise, the factored
               form of A is used to estimate the condition number of the matrix
               A.  If the reciprocal of the condition number is less than machine
               precision, INFO = N+1 is returned as a warning, but the routine
               still goes on to solve for X and compute error bounds as
               described below.

            3. The system of equations is solved for X using the factored form
               of A.

            4. Iterative refinement is applied to improve the computed solution
               matrix and calculate error bounds and backward error estimates
               for it.

       Parameters
           FACT

                     FACT is CHARACTER*1
                     Specifies whether or not the factored form of the matrix
                     A is supplied on entry.
                     = 'F':  On entry, DF and EF contain the factored form of A.
                             D, E, DF, and EF will not be modified.
                     = 'N':  The matrix A will be copied to DF and EF and
                             factored.

           N

                     N is INTEGER
                     The order of the matrix A.  N >= 0.

           NRHS

                     NRHS is INTEGER
                     The number of right hand sides, i.e., the number of columns
                     of the matrices B and X.  NRHS >= 0.

           D

                     D is DOUBLE PRECISION array, dimension (N)
                     The n diagonal elements of the tridiagonal matrix A.

           E

                     E is COMPLEX*16 array, dimension (N-1)
                     The (n-1) subdiagonal elements of the tridiagonal matrix A.

           DF

                     DF is DOUBLE PRECISION array, dimension (N)
                     If FACT = 'F', then DF is an input argument and on entry
                     contains the n diagonal elements of the diagonal matrix D
                     from the L*D*L**H factorization of A.
                     If FACT = 'N', then DF is an output argument and on exit
                     contains the n diagonal elements of the diagonal matrix D
                     from the L*D*L**H factorization of A.

           EF

                     EF is COMPLEX*16 array, dimension (N-1)
                     If FACT = 'F', then EF is an input argument and on entry
                     contains the (n-1) subdiagonal elements of the unit
                     bidiagonal factor L from the L*D*L**H factorization of A.
                     If FACT = 'N', then EF is an output argument and on exit
                     contains the (n-1) subdiagonal elements of the unit
                     bidiagonal factor L from the L*D*L**H factorization of A.

           B

                     B is COMPLEX*16 array, dimension (LDB,NRHS)
                     The N-by-NRHS right hand side matrix B.

           LDB

                     LDB is INTEGER
                     The leading dimension of the array B.  LDB >= max(1,N).

           X

                     X is COMPLEX*16 array, dimension (LDX,NRHS)
                     If INFO = 0 or INFO = N+1, the N-by-NRHS solution matrix X.

           LDX

                     LDX is INTEGER
                     The leading dimension of the array X.  LDX >= max(1,N).

           RCOND

                     RCOND is DOUBLE PRECISION
                     The reciprocal condition number of the matrix A.  If RCOND
                     is less than the machine precision (in particular, if
                     RCOND = 0), the matrix is singular to working precision.
                     This condition is indicated by a return code of INFO > 0.

           FERR

                     FERR is DOUBLE PRECISION array, dimension (NRHS)
                     The forward error bound for each solution vector
                     X(j) (the j-th column of the solution matrix X).
                     If XTRUE is the true solution corresponding to X(j), FERR(j)
                     is an estimated upper bound for the magnitude of the largest
                     element in (X(j) - XTRUE) divided by the magnitude of the
                     largest element in X(j).

           BERR

                     BERR is DOUBLE PRECISION array, dimension (NRHS)
                     The componentwise relative backward error of each solution
                     vector X(j) (i.e., the smallest relative change in any
                     element of A or B that makes X(j) an exact solution).

           WORK

                     WORK is COMPLEX*16 array, dimension (N)

           RWORK

                     RWORK is DOUBLE PRECISION array, dimension (N)

           INFO

                     INFO is INTEGER
                     = 0:  successful exit
                     < 0:  if INFO = -i, the i-th argument had an illegal value
                     > 0:  if INFO = i, and i is
                           <= N:  the leading principal minor of order i of A
                                  is not positive, so the factorization could not
                                  be completed, and the solution has not been
                                  computed. RCOND = 0 is returned.
                           = N+1: U is nonsingular, but RCOND is less than machine
                                  precision, meaning that the matrix is singular
                                  to working precision.  Nevertheless, the
                                  solution and error bounds are computed because
                                  there are a number of situations where the
                                  computed solution can be more accurate than the
                                  value of RCOND would suggest.

       Author
           Univ. of Tennessee

           Univ. of California Berkeley

           Univ. of Colorado Denver

           NAG Ltd.

Author

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