| 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 |