TEWGraph Class Reference
Represents undirected graph with edge weights.
#include <TGraph.hh>
Inheritance diagram for TEWGraph:
Public Member Functions | |
| TEWGraph () | |
| construct empty graph | |
| TEWGraph (any_const_sparse_matrix_t S, const std::vector< bool > &nodemask, const bool sym_edge_weights) | |
| TEWGraph (const TGraph &graph) | |
| virtual | ~TEWGraph () |
| dtor | |
| virtual void | init (const size_t annodes, const size_t anedges, const bool aglobal=false) |
| virtual weight_t | edge_weight (const idx_t i) const noexcept |
| return edge weight for i'th edge | |
| virtual void | set_edge_weight (const idx_t i, const weight_t w) |
| set edge weight for i'th edge | |
| virtual bool | has_edge_weights () const noexcept |
| return false to show that Graph has no edge weights | |
| virtual weight_t | min_edge_weight () const |
| return the minimal absolute value of the edge weights of TEWGraph which is bigger than zero | |
| virtual void | write (const std::string &filename) const |
| export graph in Chaco/Jostle/Metis format to filename | |
| TEWGraph & | operator= (const TEWGraph &graph) |
| copy operator | |
| virtual TGraph * | create () const |
| virtual constructor, e.g. return object of same type | |
 Public Member Functions inherited from TGraph | |
| TGraph () | |
| construct empty graph | |
| TGraph (any_const_sparse_matrix_t S, const std::vector< bool > &nodemask) | |
| virtual | ~TGraph () |
| dtor | |
| size_t | nnodes () const noexcept |
| return number of nodes in graph | |
| size_t | nedges () const noexcept |
| return number of edges in graph | |
| bool | has_global_names () const noexcept |
| return true, if graph stores global names | |
| size_t | degree (const node_t node) const noexcept |
| return degree of node, e.g. number of incident edges | |
| TNodes | nodes () const noexcept |
| return set of graph nodes | |
| TAdjNodes | adj_nodes (const node_t node) const noexcept |
| return set of adjacent nodes in graph | |
| TAdjNodesWeights | adj_nodes_weights (const node_t node) const noexcept |
| return set of adjacent nodes with edge weights in graph | |
| std::vector< node_t > & | global_name () noexcept |
| return global name data | |
| node_t | min_degree_node () const |
| return node with minimal degree in given graph | |
| node_t | max_degree_node () const |
| return node with maximal degree in given graph | |
| void | build_scc (std::list< TNodeSet > &scc, const std::vector< uint > &label, const uint mark) const |
| compute strongly connected components and build graph for each component More... | |
| void | build_scc (std::list< TNodeSet > &scc) const |
| compute strongly connected components and build nodeset for each component | |
| auto | restrict (const TNodeSet &nodes) const -> std::unique_ptr< TGraph > |
| restrict graph to nodes in nodes and return resulting subgraph | |
| void | vertex_separator (std::vector< uint > &label, const TNodeSet &left, const TNodeSet &right, TNodeSet &vertex_sep, const uint if_label) const |
| void | print (const std::string &filename, const bool global=false) const |
| print graph in GraphViz format to filename | |
| void | print (const std::string &filename, const std::vector< uint > &label, const bool global=false) const |
| print graph in GraphViz format to filename with labels in label | |
| TGraph & | operator= (const TGraph &graph) |
| copy operator | |
Additional Inherited Members | |
| Protected Attributes inherited from TGraph | |
| std::vector< idx_t > | _adj_list_ptr |
| contains pointers into adjacency list for each node | |
| std::vector< node_t > | _adj_nodes |
| contains list of adjacent nodes for each node | |
| std::vector< node_t > | _global_name |
| global name of local nodes | |
Constructor & Destructor Documentation
◆ TEWGraph() [1/2]
| TEWGraph | ( | any_const_sparse_matrix_t | S, |
| const std::vector< bool > & | nodemask, | ||
| const bool | sym_edge_weights | ||
| ) |
construct graph using symmetrised sparsity pattern of matrix S; nodes marked in nodemask, i.e. nodemask[node] = true, will be excluded from graph; matrix coefficients will be used for edge weights
◆ TEWGraph() [2/2]
construct an edge weighted graph using a normal graph and initialising edge weights with 1
Member Function Documentation
◆ init()
|
inlinevirtual |
initialise graph for nnnodes nodes and nedges edges
- if global is true, global names will also be initialised
Reimplemented from TGraph.
