elpa_impl_math_solvers_template.F90 File Reference

Functions/Subroutines
subroutine	elpa_eigenvectors_a_h_a_ELPA_IMPL_SUFFIX (self, a, ev, q, error)
	elpa_eigenvectors_d: class method to solve the eigenvalue problem More...
subroutine	elpa_eigenvectors_d_ptr_ELPA_IMPL_SUFFIX (self, a, ev, q, error)
	elpa_eigenvectors_d_ptr_d: class method to solve the eigenvalue problem More...
subroutine	elpa_eigenvectors_a_h_a_ELPA_IMPL_SUFFIX_c (handle, a_p, ev_p, q_p, error)
subroutine	elpa_eigenvectors_d_ptr_ELPA_IMPL_SUFFIX_c (handle, a_p, ev_p, q_p, error)
subroutine	elpa_eigenvalues_a_h_a_ELPA_IMPL_SUFFIX (self, a, ev, error)
	elpa_eigenvalues_d: class method to solve the eigenvalue problem More...
subroutine	elpa_eigenvalues_d_ptr_ELPA_IMPL_SUFFIX (self, a, ev, error)
	elpa_eigenvalues_d: class method to solve the eigenvalue problem More...
subroutine	elpa_eigenvalues_a_h_a_ELPA_IMPL_SUFFIX_c (handle, a_p, ev_p, error)
subroutine	elpa_eigenvalues_d_ptr_ELPA_IMPL_SUFFIX_c (handle, a_p, ev_p, error)

Function/Subroutine Documentation

elpa_eigenvalues_a_h_a_ELPA_IMPL_SUFFIX()

subroutine elpa_eigenvalues_a_h_a_ELPA_IMPL_SUFFIX	(	class(elpa_impl_t)	self,
			a,
		real(kind=c_real_datatype), dimension(self%na)	ev,
		integer	error
	)

elpa_eigenvalues_d: class method to solve the eigenvalue problem

The dimensions of the matrix a (locally ditributed and global), the block-cyclic distribution blocksize, the number of eigenvectors to be computed and the MPI communicators are already known to the object and MUST be set BEFORE with the class method "setup"

It is possible to change the behaviour of the method by setting tunable parameters with the class method "set"

Parameters

Parameters

a	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).
ev	On output: eigenvalues of a, every processor gets the complete set
error	integer, optional: returns an error code, which can be queried with elpa_strerr

elpa_eigenvalues_a_h_a_ELPA_IMPL_SUFFIX_c()

subroutine elpa_eigenvalues_a_h_a_ELPA_IMPL_SUFFIX_c	(	value	handle,
		value	a_p,
		value	ev_p,
		integer(kind=c_int), intent(in)	error
	)

elpa_eigenvalues_d_ptr_ELPA_IMPL_SUFFIX()

subroutine elpa_eigenvalues_d_ptr_ELPA_IMPL_SUFFIX	(	class(elpa_impl_t)	self,
		type(c_ptr)	a,
		type(c_ptr)	ev,
		integer	error
	)

elpa_eigenvalues_d: class method to solve the eigenvalue problem

The dimensions of the matrix a (locally ditributed and global), the block-cyclic distribution blocksize, the number of eigenvectors to be computed and the MPI communicators are already known to the object and MUST be set BEFORE with the class method "setup"

It is possible to change the behaviour of the method by setting tunable parameters with the class method "set"

Parameters

Parameters

a	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).
ev	On output: eigenvalues of a, every processor gets the complete set
error	integer, optional: returns an error code, which can be queried with elpa_strerr

elpa_eigenvalues_d_ptr_ELPA_IMPL_SUFFIX_c()

subroutine elpa_eigenvalues_d_ptr_ELPA_IMPL_SUFFIX_c	(	value	handle,
		value	a_p,
		value	ev_p,
		integer(kind=c_int), intent(in)	error
	)

elpa_eigenvectors_a_h_a_ELPA_IMPL_SUFFIX()

subroutine elpa_eigenvectors_a_h_a_ELPA_IMPL_SUFFIX	(	class(elpa_impl_t)	self,
			a,
		real(kind=c_real_datatype), dimension(self%na)	ev,
			q,
		integer	error
	)

elpa_eigenvectors_d: class method to solve the eigenvalue problem

The dimensions of the matrix a (locally ditributed and global), the block-cyclic distribution blocksize, the number of eigenvectors to be computed and the MPI communicators are already known to the object and MUST be set BEFORE with the class method "setup"

It is possible to change the behaviour of the method by setting tunable parameters with the class method "set"

Parameters

Parameters

a	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).
ev	On output: eigenvalues of a, every processor gets the complete set
q	On output: Eigenvectors of a Distribution is like in Scalapack. Must be always dimensioned to the full size (corresponding to (na,na)) even if only a part of the eigenvalues is needed.
error	integer, optional: returns an error code, which can be queried with elpa_strerr

elpa_eigenvectors_a_h_a_ELPA_IMPL_SUFFIX_c()

subroutine elpa_eigenvectors_a_h_a_ELPA_IMPL_SUFFIX_c	(	value	handle,
		value	a_p,
		value	ev_p,
		value	q_p,
		integer(kind=c_int), intent(in)	error
	)

elpa_eigenvectors_d_ptr_ELPA_IMPL_SUFFIX()

subroutine elpa_eigenvectors_d_ptr_ELPA_IMPL_SUFFIX	(	class(elpa_impl_t)	self,
		type(c_ptr)	a,
		type(c_ptr)	ev,
		type(c_ptr)	q,
		integer	error
	)

elpa_eigenvectors_d_ptr_d: class method to solve the eigenvalue problem

The dimensions of the matrix a (locally ditributed and global), the block-cyclic distribution blocksize, the number of eigenvectors to be computed and the MPI communicators are already known to the object and MUST be set BEFORE with the class method "setup"

It is possible to change the behaviour of the method by setting tunable parameters with the class method "set"

Parameters

Parameters

a	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).
ev	On output: eigenvalues of a, every processor gets the complete set
q	On output: Eigenvectors of a Distribution is like in Scalapack. Must be always dimensioned to the full size (corresponding to (na,na)) even if only a part of the eigenvalues is needed.
error	integer, optional: returns an error code, which can be queried with elpa_strerr

elpa_eigenvectors_d_ptr_ELPA_IMPL_SUFFIX_c()

subroutine elpa_eigenvectors_d_ptr_ELPA_IMPL_SUFFIX_c	(	value	handle,
		value	a_p,
		value	ev_p,
		value	q_p,
		integer(kind=c_int), intent(in)	error
	)