public TreeStatistics MVABFSStatistics(long n, MVACliqueTree tree)
{
// convert to SHET data structure for the statistics
var dict = new Dictionary <int, TreeNode>();
foreach (var edge in tree.EdgesList)
{
foreach (var node in new int[] { edge.Node1, edge.Node2 })
{
if (!dict.ContainsKey(node))
{
dict[node] = new TreeNode(node)
{
State = edge.SeperatorWeight == 0 ? NodeState.NewCC : NodeState.Valid,
CliqueList = tree.Cliques[node].ToList()
};
}
}
dict[edge.Node1].Adjoint.Add(dict[edge.Node2]);
dict[edge.Node2].Adjoint.Add(dict[edge.Node1]);
}
var shetTree = dict.Values.ToList();
var tmpSHET = new SHET();
return(tmpSHET.SHETBFSStatistics(tree.Edges, shetTree));
}
private void CalculateRunStatistics(long n, MVACliqueTree tree, Stats stats)
{
var maxEdges = (n * (n - 1)) / 2;
stats.Edges.Add(tree.Edges);
stats.Output["EdgeDensity"].Add((double)tree.Edges / maxEdges);
var proc = System.Diagnostics.Process.GetCurrentProcess();
stats.Output["Mem"].Add(proc.WorkingSet64 / (1024.0 * 1024.0));
stats.CliqueTrees.Add(this.MVABFSStatistics(n, tree));
}
public static MVACliqueTree ExpandCliques(long n, Random random)
{
var cliqueTree = new MVACliqueTree()
{
Cliques = new List <MVANode>()
{
new MVANode()
},
Cardinalities = new List <int>()
{
1
},
MaximalCliques = 1
};
for (int u = 0; u < n; u++)
{
var i = random.Next(cliqueTree.MaximalCliques);
var t = random.Next(1, cliqueTree.Cardinalities[i] + 1);
if (t == cliqueTree.Cardinalities[i])
{
// expand old
cliqueTree.Cliques[i].Add(u);
cliqueTree.Cardinalities[i]++;
}
else
{
var seperator = RandomSample <int>(cliqueTree.Cliques[i], t, random);
var newNode = new MVANode()
{
u
};
newNode.UnionWith(seperator);
cliqueTree.Cliques.Add(newNode);
cliqueTree.MaximalCliques++;
cliqueTree.Cardinalities.Add(t + 1);
cliqueTree.EdgesList.Add(new MVAEdge(i, cliqueTree.MaximalCliques - 1, new HashSet <int>(seperator), t));
}
cliqueTree.Edges += t;
}
return(cliqueTree);
}
public List <Stats> RunMVA(int runs)
{
var allStats = new List <Stats>();
for (int nIndex = 0; nIndex < Vertices.Length; nIndex++)
{
var n = Vertices[nIndex];
foreach (var ed in EdgeDensity)
{
var edgesBound = ed * ((n * (n - 1)) / 2L);
var stats = this.InitializeRunStats(n, ed);
allStats.Add(stats);
for (int r = 0; r < runs; r++)
{
Console.WriteLine("------------------ Begin Run --------------------");
Console.WriteLine($"n:{n} \t ed:{ed.ToString("F2")} \t edgesBound: {edgesBound}");
var random = new Random();
MVACliqueTree tree = null;
using (var sw = new Watch(stats.Times["ExpandCliques"]))
{
tree = MVACliqueTree.ExpandCliques(n, random);
}
using (var sw = new Watch(stats.Times["MergeCliques"]))
{
tree.MergeCliques((long)edgesBound, random);
}
stats.Times["Total"].Add(stats.Times["ExpandCliques"].Last() + stats.Times["MergeCliques"].Last());
Console.WriteLine($"Expand Cliques: {stats.Times["ExpandCliques"].Last()} s");
Console.WriteLine($"Merge Cliques: {stats.Times["MergeCliques"].Last()} s");
this.CalculateRunStatistics(n, tree, stats);
this.PrintRunStatistics(stats);
Console.WriteLine("------------------ End Run --------------------");
}
}
}
return(this.MergeStatistics(allStats));
}
