device_nodes() | DiFfRG::MatsubaraQuadrature< NT > | |
device_w | DiFfRG::MatsubaraQuadrature< NT > | private |
device_weights() | DiFfRG::MatsubaraQuadrature< NT > | |
device_x | DiFfRG::MatsubaraQuadrature< NT > | private |
get_T() const | DiFfRG::MatsubaraQuadrature< NT > | |
get_typical_E() const | DiFfRG::MatsubaraQuadrature< NT > | |
m_size | DiFfRG::MatsubaraQuadrature< NT > | private |
MatsubaraQuadrature(const NT T, const NT typical_E=1., const int step=2, const int min_size=0, const int max_size=powr< 10 >(2), const int vacuum_quad_size=48, const int precision_factor=1) | DiFfRG::MatsubaraQuadrature< NT > | |
MatsubaraQuadrature() | DiFfRG::MatsubaraQuadrature< NT > | |
move_device_data() | DiFfRG::MatsubaraQuadrature< NT > | private |
nodes() const | DiFfRG::MatsubaraQuadrature< NT > | |
precision_factor | DiFfRG::MatsubaraQuadrature< NT > | private |
predict_size(const NT T, const NT typical_E=1., const int step=2) | DiFfRG::MatsubaraQuadrature< NT > | |
reinit(const NT T, const NT typical_E=1., const int step=2, const int min_size=0, const int max_size=powr< 10 >(2), const int vacuum_quad_size=48, const int precision_factor=1) | DiFfRG::MatsubaraQuadrature< NT > | |
reinit_0() | DiFfRG::MatsubaraQuadrature< NT > | private |
size() const | DiFfRG::MatsubaraQuadrature< NT > | |
sum(const F &f) const | DiFfRG::MatsubaraQuadrature< NT > | inline |
T | DiFfRG::MatsubaraQuadrature< NT > | private |
typical_E | DiFfRG::MatsubaraQuadrature< NT > | private |
vacuum_quad_size | DiFfRG::MatsubaraQuadrature< NT > | private |
w | DiFfRG::MatsubaraQuadrature< NT > | private |
weights() const | DiFfRG::MatsubaraQuadrature< NT > | |
x | DiFfRG::MatsubaraQuadrature< NT > | private |