Class SparseIntUndirectedWeightedGraph

All Implemented Interfaces:
Serializable, Graph<Integer,Integer>

public class SparseIntUndirectedWeightedGraph extends SparseIntUndirectedGraph implements Serializable
Sparse undirected weighted graph.

Assuming the graph has $n$ vertices, the vertices are numbered from $0$ to $n-1$. Similarly, edges are numbered from $0$ to $m-1$ where $m$ is the total number of edges.

It stores the boolean incidence matrix of the graph (rows are vertices and columns are edges) as Compressed Sparse Rows (CSR). In order to also support constant time source and target lookups from an edge identifier we also store the transposed of the incidence matrix again in compressed sparse row format. This is a classic format for write-once read-many use cases. Thus, the graph is unmodifiable. The edge weights are maintained in an array indexed by the edge identifier.

The graph is weighted. While unmodifiable with respect to the structure of the graph, the edge weights can be changed even after the graph is constructed.

The question of whether a sparse or dense representation is more appropriate is highly dependent on various factors such as the graph, the machine running the algorithm and the algorithm itself. Wilkinson defined a matrix as "sparse" if it has enough zeros that it pays to take advantage of them. For more details see

  • Wilkinson, J. H. 1971. Linear algebra; part II: the algebraic eigenvalue problem. In Handbook for Automatic Computation, J. H. Wilkinson and C. Reinsch, Eds. Vol. 2. Springer-Verlag, Berlin, New York.
Additional information about sparse representations can be found in the wikipedia.
Dimitrios Michail
See Also:
  • Field Details

    • weights

      protected double[] weights
      The edge weights
  • Constructor Details

    • SparseIntUndirectedWeightedGraph

      public SparseIntUndirectedWeightedGraph(int numVertices, List<Triple<Integer,Integer,Double>> edges)
      Create a new graph from an edge list
      numVertices - number of vertices
      edges - edge list with weights
    • SparseIntUndirectedWeightedGraph

      public SparseIntUndirectedWeightedGraph(int numVertices, int numEdges, Supplier<Stream<Triple<Integer,Integer,Double>>> edges)
      Create a new graph from an edge stream
      numVertices - number of vertices
      numEdges - number of edges
      edges - a supplier of an edge stream with weights
  • Method Details

    • getType

      public GraphType getType()
      Description copied from interface: Graph
      Get the graph type. The graph type can be used to query for additional metadata such as whether the graph supports directed or undirected edges, self-loops, multiple (parallel) edges, weights, etc.
      Specified by:
      getType in interface Graph<Integer,Integer>
      getType in class org.jgrapht.opt.graph.sparse.specifics.AbstractSparseSpecificsGraph<org.jgrapht.opt.graph.sparse.specifics.SparseGraphSpecifics>
      the graph type
    • getEdgeWeight

      public double getEdgeWeight(Integer e)
      Description copied from interface: Graph
      Returns the weight assigned to a given edge. Unweighted graphs return 1.0 (as defined by Graph.DEFAULT_EDGE_WEIGHT), allowing weighted-graph algorithms to apply to them when meaningful.
      Specified by:
      getEdgeWeight in interface Graph<Integer,Integer>
      getEdgeWeight in class org.jgrapht.opt.graph.sparse.specifics.AbstractSparseSpecificsGraph<org.jgrapht.opt.graph.sparse.specifics.SparseGraphSpecifics>
      e - edge of interest
      edge weight
    • setEdgeWeight

      public void setEdgeWeight(Integer e, double weight)
      Description copied from interface: Graph
      Assigns a weight to an edge.
      Specified by:
      setEdgeWeight in interface Graph<Integer,Integer>
      setEdgeWeight in class org.jgrapht.opt.graph.sparse.specifics.AbstractSparseSpecificsGraph<org.jgrapht.opt.graph.sparse.specifics.SparseGraphSpecifics>
      e - edge on which to set weight
      weight - new weight for edge