/// <summary>
/// Set up the search
/// </summary>
/// <param name="top">An input topology</param>
/// <param name="dist">A series of distances. These cannot be less than the physical distance between starts and ends, but might be suitably longer</param>
public PathMethod(CurvesTopology top, IList <double> dist)
{
if (top == null)
{
throw new ArgumentNullException("top");
}
m_top = top;
if (dist == null)
{
throw new ArgumentNullException("dist");
}
if (dist.Count < m_top.EdgeLength)
{
throw new ArgumentOutOfRangeException("dist", "There should be one distance for each edge");
}
m_dist = dist;
}
/// <summary>
/// The Dijkstra algorithm.
/// Each edge is given the length as set in "dist" parameter.
/// </summary>
/// <param name="top">An input topology</param>
/// <param name="dist">A series of distances. These cannot be less than 0</param>
public Dijkstra(CurvesTopology top, IList <double> dist) :
base(top, dist)
{
}
/// <summary>
/// The Dijkstra algorithm.
/// Each edge is given length [value]. The graph is evaluated by link counts.
/// </summary>
/// <param name="top">An input topology</param>
public Dijkstra(CurvesTopology top, double value) :
this(top, new AlwaysFixed(value, top.EdgeLength))
{
}
/// <summary>
/// The Dijkstra algorithm.
/// Each edge is given length 1. The graph is evaluated by link counts.
/// </summary>
/// <param name="top">An input topology</param>
public Dijkstra(CurvesTopology top) :
this(top, new AlwaysFixed(1, top.EdgeLength))
{
}
protected static double HeuristicEstimateDistance(CurvesTopology top, int to, int y)
{
return(top.VertexAt(y).DistanceTo(top.VertexAt(to)));
}
/// <summary>
/// The A* search algorithm.
/// See http://en.wikipedia.org/wiki/A*_search_algorithm for description.
/// </summary>
/// <param name="top">An input topology</param>
/// <param name="dist">A series of distances. These cannot be less than the physical distance between starts and ends, but might be suitably longer</param>
public AStar(CurvesTopology top, IList <double> dist) :
base(top, dist)
{
}
