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Rosetta
2021.16
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#include <core/types.hh>#include <utility/assert.hh>#include <limits>#include <vector>#include <utility/graph/UpperEdgeGraph.fwd.hh>#include <utility/vector1.hh>#include <utility/pointer/owning_ptr.hh>#include <numeric/xyzTriple.fwd.hh>Namespaces | |
| core | |
| A class for reading in the atom type properties. | |
| core::conformation | |
Typedefs | |
| typedef numeric::xyzTriple < core::Size > | core::conformation::CubeKey |
| typedef numeric::xyzVector < core::Real > | core::conformation::PointPosition |
Enumerations | |
| enum | core::conformation::Strategy { core::conformation::NAIVE, core::conformation::AUTOMATIC, core::conformation::OCTREE, core::conformation::THREEDGRID, core::conformation::STRIPEHASH } |
Functions | |
| template<class Vertex , class Edge > | |
| void | core::conformation::find_neighbors_naive (utility::pointer::shared_ptr< utility::graph::UpperEdgeGraph< Vertex, Edge > > point_graph, core::Real neighbor_cutoff) |
| template<class Vertex , class Edge > | |
| void | core::conformation::find_neighbors_octree (utility::pointer::shared_ptr< utility::graph::UpperEdgeGraph< Vertex, Edge > > point_graph, core::Real neighbor_cutoff, Strategy strategy) |
| Finds the residue neighbors efficiently using an octree-like spatial sort. More... | |
| template<class Vertex , class Edge > | |
| void | core::conformation::find_neighbors_3dgrid (utility::pointer::shared_ptr< utility::graph::UpperEdgeGraph< Vertex, Edge > > point_graph, core::Real neighbor_cutoff) |
| Create a 3D grid of points. O(N^3). For "spherical" conformations, Theta(N). Speeds neighbor detection in abinitio by a factor of 2. Definition: Spherical = span of x,y and z all O(N**1/3). Note circularity. Adendum: if the 3D grid used a list of point indices instead of a vector, then this would be Theta(N) for spherical conformations; however, with a vector, this is O(NlgN). With the additional assumption that each cube contains O(1) points, then this implementation is O(N). Such an assumption is unneccessary in the list implementation. More... | |
| template<class Vertex , class Edge > | |
| void | core::conformation::find_neighbors_naive_restricted (utility::pointer::shared_ptr< utility::graph::UpperEdgeGraph< Vertex, Edge > > point_graph, core::Real neighbor_cutoff, utility::vector1< bool > const &residue_selection) |
| template<class Vertex , class Edge > | |
| void | core::conformation::find_neighbors_octree_restricted (utility::pointer::shared_ptr< utility::graph::UpperEdgeGraph< Vertex, Edge > > point_graph, core::Real neighbor_cutoff, utility::vector1< bool > const &residue_selection, Strategy strategy) |
| Finds the residue neighbors efficiently using an octree-like spatial sort. More... | |
| template<class Vertex , class Edge > | |
| void | core::conformation::find_neighbors_3dgrid_restricted (utility::pointer::shared_ptr< utility::graph::UpperEdgeGraph< Vertex, Edge > > point_graph, core::Real neighbor_cutoff, utility::vector1< bool > const &residue_selection) |
| Create a 3D grid of points. O(N^3). For "spherical" conformations, Theta(N). Speeds neighbor detection in abinitio by a factor of 2. Definition: Spherical = span of x,y and z all O(N**1/3). Note circularity. Adendum: if the 3D grid used a list of point indices instead of a vector, then this would be Theta(N) for spherical conformations; however, with a vector, this is O(NlgN). With the additional assumption that each cube contains O(1) points, then this implementation is O(N). Such an assumption is unneccessary in the list implementation. More... | |
| template<class Vertex , class Edge > | |
| core::Size | core::conformation::get_nearest_neighbor (utility::pointer::shared_ptr< utility::graph::UpperEdgeGraph< Vertex, Edge > > point_graph, core::Size node_id, core::Real neighbor_cutoff, Strategy strategy=AUTOMATIC) |
1.8.7