.RI "With the definintions of the input and output variables:"
.br
.RI "int \fBna\fP: global dimension of quadratic matrix \fBa\fP to solve"
.br
.RI "int \fBnev\fP: number of eigenvalues to be computed; the first \fBnev\fP eigenvalules are calculated"
.br
.RI "double complex *\fBa\fP: pointer to locally distributed part of the matrix \fBa\fP. The local dimensions are \fBlda\fP x \fBmatrixCols\fP"
.br
.RI "int \fBlda\fP: leading dimension of locally distributed matrix \fBa\fP"
.br
.RI "double *\fBev\fP: pointer to memory containing on output the first \fBnev\fP computed eigenvalues"
.br
.RI "double complex *\fBq\fP: pointer to memory containing on output the first \fBnev\fP computed eigenvectors"
.br
.RI "int \fBldq\fP: leading dimension of matrix \fBq\fP which stores the eigenvectors"
.br
.RI "int \fBnblk\fP: blocksize of block cyclic distributin, must be the same in both directions"
.br
.RI "int \fBmatrixCols\fP: number of columns of locally distributed matrices \fBa\fP and \fBq\fP"
.br
.RI "int \fBmpi_comm_rows\fP: communicator for communication in rows. Constructed with \fBelpa_get_communicators\fP(3)"
.br
.RI "int \fBmpi_comm_cols\fP: communicator for communication in colums. Constructed with \fBelpa_get_communicators\fP(3)"
.br
.RI "int \fBsuccess\fP: return value indicating success (1) or failure (0)
.SH DESCRIPTION
Solve the complex eigenvalue problem with the 1-stage solver. The ELPA communicators \fBmpi_comm_rows\fP and \fBmpi_comm_cols\fP are obtained with the \fBelpa_get_communicators\fP(3) function. The distributed quadratic marix \fBa\fP has global dimensions \fBna\fP x \fBna\fP, and a local size \fBlda\fP x \fBmatrixCols\fP. The solver will compute the first \fBnev\fP eigenvalues, which will be stored on exit in \fBev\fP. The eigenvectors corresponding to the eigenvalues will be stored in \fBq\fP. All memory of the arguments must be allocated outside the call to the solver.
.RI "With the definintions of the input and output variables:"
.br
.RI "int \fBna\fP: global dimension of quadratic matrix \fBa\fP to solve"
.br
.RI "int \fBnev\fP: number of eigenvalues to be computed; the first \fBnev\fP eigenvalules are calculated"
.br
.RI "complex *\fBa\fP: pointer to locally distributed part of the matrix \fBa\fP. The local dimensions are \fBlda\fP x \fBmatrixCols\fP"
.br
.RI "int \fBlda\fP: leading dimension of locally distributed matrix \fBa\fP"
.br
.RI "float *\fBev\fP: pointer to memory containing on output the first \fBnev\fP computed eigenvalues"
.br
.RI "complex *\fBq\fP: pointer to memory containing on output the first \fBnev\fP computed eigenvectors"
.br
.RI "int \fBldq\fP: leading dimension of matrix \fBq\fP which stores the eigenvectors"
.br
.RI "int \fBnblk\fP: blocksize of block cyclic distributin, must be the same in both directions"
.br
.RI "int \fBmatrixCols\fP: number of columns of locally distributed matrices \fBa\fP and \fBq\fP"
.br
.RI "int \fBmpi_comm_rows\fP: communicator for communication in rows. Constructed with \fBelpa_get_communicators\fP(3)"
.br
.RI "int \fBmpi_comm_cols\fP: communicator for communication in colums. Constructed with \fBelpa_get_communicators\fP(3)"
.br
.RI "int \fBsuccess\fP: return value indicating success (1) or failure (0)
.SH DESCRIPTION
Solve the complex eigenvalue problem with the 1-stage solver. The ELPA communicators \fBmpi_comm_rows\fP and \fBmpi_comm_cols\fP are obtained with the \fBelpa_get_communicators\fP(3) function. The distributed quadratic marix \fBa\fP has global dimensions \fBna\fP x \fBna\fP, and a local size \fBlda\fP x \fBmatrixCols\fP. The solver will compute the first \fBnev\fP eigenvalues, which will be stored on exit in \fBev\fP. The eigenvectors corresponding to the eigenvalues will be stored in \fBq\fP. All memory of the arguments must be allocated outside the call to the solver.
.br
The interface \fBelpa_solve_evp_complex_single\fP(3) is a more flexible alternative.
.RI "With the definintions of the input and output variables:"
.br
.RI "int \fBna\fP: global dimension of quadratic matrix \fBa\fP to solve"
.br
.RI "int \fBnev\fP: number of eigenvalues to be computed; the first \fBnev\fP eigenvalules are calculated"
.br
.RI "double *\fBa\fP: pointer to locally distributed part of the matrix \fBa\fP. The local dimensions are \fBlda\fP x \fBmatrixCols\fP"
.br
.RI "int \fBlda\fP: leading dimension of locally distributed matrix \fBa\fP"
.br
.RI "double *\fBev\fP: pointer to memory containing on output the first \fBnev\fP computed eigenvalues"
.br
.RI "double *\fBq\fP: pointer to memory containing on output the first \fBnev\fP computed eigenvectors"
.br
.RI "int \fBldq\fP: leading dimension of matrix \fBq\fP which stores the eigenvectors"
.br
.RI "int \fBnblk\fP: blocksize of block cyclic distributin, must be the same in both directions"
.br
.RI "int \fBmatrixCols\fP: number of columns of locally distributed matrices \fBa\fP and \fBq\fP"
.br
.RI "int \fBmpi_comm_rows\fP: communicator for communication in rows. Constructed with \fBelpa_get_communicators\fP(3)"
.br
.RI "int \fBmpi_comm_cols\fP: communicator for communication in colums. Constructed with \fBelpa_get_communicators\fP(3)"
.br
.RI "int \fBsuccess\fP: return value indicating success (1) or failure (0)
.SH DESCRIPTION
Solve the real eigenvalue problem with the 1-stage solver. The ELPA communicators \fBmpi_comm_rows\fP and \fBmpi_comm_cols\fP are obtained with the \fBelpa_get_communicators\fP(3) function. The distributed quadratic marix \fBa\fP has global dimensions \fBna\fP x \fBna\fP, and a local size \fBlda\fP x \fBmatrixCols\fP. The solver will compute the first \fBnev\fP eigenvalues, which will be stored on exit in \fBev\fP. The eigenvectors corresponding to the eigenvalues will be stored in \fBq\fP. All memory of the arguments must be allocated outside the call to the solver.
.br
The interface \fBelpa_solve_evp_real\fP(3) is a more flexible alternative.
.RI "With the definintions of the input and output variables:"
.br
.RI "int \fBna\fP: global dimension of quadratic matrix \fBa\fP to solve"
.br
.RI "int \fBnev\fP: number of eigenvalues to be computed; the first \fBnev\fP eigenvalules are calculated"
.br
.RI "double *\fBa\fP: pointer to locally distributed part of the matrix \fBa\fP. The local dimensions are \fBlda\fP x \fBmatrixCols\fP"
.br
.RI "int \fBlda\fP: leading dimension of locally distributed matrix \fBa\fP"
.br
.RI "double *\fBev\fP: pointer to memory containing on output the first \fBnev\fP computed eigenvalues"
.br
.RI "double *\fBq\fP: pointer to memory containing on output the first \fBnev\fP computed eigenvectors"
.br
.RI "int \fBldq\fP: leading dimension of matrix \fBq\fP which stores the eigenvectors"
.br
.RI "int \fBnblk\fP: blocksize of block cyclic distributin, must be the same in both directions"
.br
.RI "int \fBmatrixCols\fP: number of columns of locally distributed matrices \fBa\fP and \fBq\fP"
.br
.RI "int \fBmpi_comm_rows\fP: communicator for communication in rows. Constructed with \fBelpa_get_communicators\fP(3)"
.br
.RI "int \fBmpi_comm_cols\fP: communicator for communication in colums. Constructed with \fBelpa_get_communicators\fP(3)"
.br
.RI "int \fBsuccess\fP: return value indicating success (1) or failure (0)
.SH DESCRIPTION
Solve the real eigenvalue problem with the 1-stage solver. The ELPA communicators \fBmpi_comm_rows\fP and \fBmpi_comm_cols\fP are obtained with the \fBelpa_get_communicators\fP(3) function. The distributed quadratic marix \fBa\fP has global dimensions \fBna\fP x \fBna\fP, and a local size \fBlda\fP x \fBmatrixCols\fP. The solver will compute the first \fBnev\fP eigenvalues, which will be stored on exit in \fBev\fP. The eigenvectors corresponding to the eigenvalues will be stored in \fBq\fP. All memory of the arguments must be allocated outside the call to the solver.
.br
The interface \fBelpa_solve_evp_real\fP(3) is a more flexible alternative.
.RI "With the definintions of the input and output variables:"
.br
.RI "int \fBna\fP: global dimension of quadratic matrix \fBa\fP to solve"
.br
.RI "int \fBnev\fP: number of eigenvalues to be computed; the first \fBnev\fP eigenvalules are calculated"
.br
.RI "float *\fBa\fP: pointer to locally distributed part of the matrix \fBa\fP. The local dimensions are \fBlda\fP x \fBmatrixCols\fP"
.br
.RI "int \fBlda\fP: leading dimension of locally distributed matrix \fBa\fP"
.br
.RI "float *\fBev\fP: pointer to memory containing on output the first \fBnev\fP computed eigenvalues"
.br
.RI "float *\fBq\fP: pointer to memory containing on output the first \fBnev\fP computed eigenvectors"
.br
.RI "int \fBldq\fP: leading dimension of matrix \fBq\fP which stores the eigenvectors"
.br
.RI "int \fBnblk\fP: blocksize of block cyclic distributin, must be the same in both directions"
.br
.RI "int \fBmatrixCols\fP: number of columns of locally distributed matrices \fBa\fP and \fBq\fP"
.br
.RI "int \fBmpi_comm_rows\fP: communicator for communication in rows. Constructed with \fBelpa_get_communicators\fP(3)"
.br
.RI "int \fBmpi_comm_cols\fP: communicator for communication in colums. Constructed with \fBelpa_get_communicators\fP(3)"
.br
.RI "int \fBsuccess\fP: return value indicating success (1) or failure (0)
.SH DESCRIPTION
Solve the real eigenvalue problem with the 1-stage solver. The ELPA communicators \fBmpi_comm_rows\fP and \fBmpi_comm_cols\fP are obtained with the \fBelpa_get_communicators\fP(3) function. The distributed quadratic marix \fBa\fP has global dimensions \fBna\fP x \fBna\fP, and a local size \fBlda\fP x \fBmatrixCols\fP. The solver will compute the first \fBnev\fP eigenvalues, which will be stored on exit in \fBev\fP. The eigenvectors corresponding to the eigenvalues will be stored in \fBq\fP. All memory of the arguments must be allocated outside the call to the solver.
.br
The interface \fBelpa_solve_evp_real\fP(3) is a more flexible alternative.
public::get_elpa_row_col_comms!< old, deprecated interface, will be deleted. Use elpa_get_communicators instead
public::get_elpa_communicators!< Sets MPI row/col communicators; OLD and deprecated interface, will be deleted. Use elpa_get_communicators instead
public::elpa_get_communicators!< Sets MPI row/col communicators as needed by ELPA
public::get_elpa_row_col_comms!< old, deprecated interface, will be deleted. Use elpa_get_communicators instead
public::get_elpa_communicators!< Sets MPI row/col communicators; OLD and deprecated interface, will be deleted. Use elpa_get_communicators instead
public::elpa_get_communicators!< Sets MPI row/col communicators as needed by ELPA
public::solve_evp_real!< old, deprecated interface: Driver routine for real double-precision eigenvalue problem DO NOT USE. Will be deleted at some point
public::solve_evp_real_1stage!< Driver routine for real double-precision eigenvalue problem
public::solve_evp_real_1stage_double!< Driver routine for real double-precision eigenvalue problem
public::solve_evp_real!< old, deprecated interface: Driver routine for real double-precision eigenvalue problem DO NOT USE. Will be deleted at some point
public::elpa_solve_evp_real_1stage_double!< Driver routine for real double-precision 1-stage eigenvalue problem
public::solve_evp_real_1stage!< Driver routine for real double-precision eigenvalue problem
public::solve_evp_real_1stage_double!< Driver routine for real double-precision eigenvalue problem
#ifdef WANT_SINGLE_PRECISION_REAL
public::solve_evp_real_1stage_single!< Driver routine for real single-precision eigenvalue problem
public::solve_evp_real_1stage_single!< Driver routine for real single-precision eigenvalue problem
public::elpa_solve_evp_real_1stage_single!< Driver routine for real single-precision 1-stage eigenvalue problem
#endif
public::solve_evp_complex!< old, deprecated interface: Driver routine for complex double-precision eigenvalue problem DO NOT USE. Will be deleted at some point
public::solve_evp_complex_1stage!< Driver routine for complex double-precision eigenvalue problem
public::solve_evp_complex_1stage_double!< Driver routine for complex double-precision eigenvalue problem
public::solve_evp_complex!< old, deprecated interface: Driver routine for complex double-precision eigenvalue problem DO NOT USE. Will be deleted at some point
public::elpa_solve_evp_complex_1stage_double!< Driver routine for complex 1-stage eigenvalue problem
public::solve_evp_complex_1stage!< Driver routine for complex double-precision eigenvalue problem
public::solve_evp_complex_1stage_double!< Driver routine for complex double-precision eigenvalue problem
#ifdef WANT_SINGLE_PRECISION_COMPLEX
public::solve_evp_complex_1stage_single!< Driver routine for complex single-precision eigenvalue problem
public::solve_evp_complex_1stage_single!< Driver routine for complex single-precision eigenvalue problem
public::elpa_solve_evp_complex_1stage_single!< Driver routine for complex 1-stage eigenvalue problem
#endif
! imported from elpa1_auxilliary
...
...
@@ -233,9 +239,8 @@ module ELPA1
endinterface
!> \brief solve_evp_complex: old, deprecated Fortran function to solve the complex eigenvalue problem with 1-stage solver. Better use "solve_evp_complex_1stage_double" or elpa_solve_evp_complex_double
!> \brief elpa_solve_evp_real_1stage_double: Fortran function to solve the real eigenvalue problem with 1-stage solver. This is called by "elpa_solve_evp_real"
!>
!> \details
!> The interface and variable definition is the same as in "elpa_solve_evp_complex_1stage_double"
! Parameters
!
!> \param na Order of matrix a
...
...
@@ -267,8 +272,46 @@ module ELPA1
!> \param mpi_comm_cols MPI-Communicator for columns
!>
!> \result success
interfaceelpa_solve_evp_real_1stage_double
moduleproceduresolve_evp_real_1stage_double
endinterface
!> \brief solve_evp_complex: old, deprecated Fortran function to solve the complex eigenvalue problem with 1-stage solver. will be deleted at some point. Better use "solve_evp_complex_1stage" or "elpa_solve_evp_complex"
!>
!> \details
!> The interface and variable definition is the same as in "elpa_solve_evp_complex_1stage_double"
! Parameters
!
!> \param na Order of matrix a
!>
!> \param nev Number of eigenvalues needed.
!> The smallest nev eigenvalues/eigenvectors are calculated.
!>
!> \param a(lda,matrixCols) Distributed matrix for which eigenvalues are to be computed.
!> Distribution is like in Scalapack.
!> The full matrix must be set (not only one half like in scalapack).
!> Destroyed on exit (upper and lower half).
!>
!> \param lda Leading dimension of a
!>
!> \param ev(na) On output: eigenvalues of a, every processor gets the complete set
!>
!> \param q(ldq,matrixCols) On output: Eigenvectors of a
