convolution_timestep_omp() [2/4]

template<typename T >

void cntr::convolution_timestep_omp	(	int	omp_num_threads,
		int	tstp,
		herm_matrix< T > &	C,
		herm_matrix< T > &	A,
		function< T > &	ft,
		herm_matrix< T > &	B,
		T	beta,
		T	h,
		int	SolveOrder
	)

Returns convolution \(C = A\ast f\ast B\) at a given time step

Purpose

Computes contour convolution C=A*f*B of the objects with class 'herm_matrix' at a given time step 't=nh'. Here we assume that A and B are hermitian. Works for a scalar and square matrices. openMP parallelized version.

Parameters

omp_num_threads	[int] The number of openMP threads to be used. Set to the number of threads in the current team.
tstp	[int] index of the time step ('t=nh')
C	[herm_matrix] Matrix to which the result of the convolution on Matsubara axis is given
A	[herm_matrix] contour Green's function
ft	[function] function \(f\)
B	[herm_matrix] contour Green's function
beta	inversed temperature
h	time step interval
SolveOrder	[int] integrator order

Definition at line 5382 of file cntr_convolution_impl.hpp.

                                                           {
    convolution_timestep_omp<T>(omp_num_threads, tstp, C, A, A, ft, B, B, beta, h, SolveOrder);
}