private readonly DirectedEdge[] _edgeTo; // edgeTo[v] = last edge on shortest s->v path
/// <summary>
/// Computes a shortest paths tree from <tt>s</tt> to every other vertex in
/// the directed acyclic graph <tt>G</tt>.
/// </summary>
/// <param name="g">g the acyclic digraph</param>
/// <param name="s">s the source vertex</param>
/// <exception cref="ArgumentException">if the digraph is not acyclic</exception>
/// <exception cref="ArgumentException">unless 0 <= <tt>s</tt> <= <tt>V</tt> - 1</exception>
public AcyclicSP(EdgeWeightedDigraph g, int s)
{
_distTo = new double[g.V];
_edgeTo = new DirectedEdge[g.V];
for (var v = 0; v < g.V; v++)
{
_distTo[v] = double.PositiveInfinity;
}
_distTo[s] = 0.0;
// visit vertices in toplogical order
var topological = new Topological(g);
if (!topological.HasOrder())
{
throw new ArgumentException("Digraph is not acyclic.");
}
foreach (int v in topological.Order())
{
foreach (var e in g.Adj(v))
{
Relax(e);
}
}
}
/// <summary>
/// certify that digraph is either acyclic or has a directed cycle
/// </summary>
/// <param name="g"></param>
/// <returns></returns>
public bool Check(EdgeWeightedDigraph g)
{
// edge-weighted digraph is cyclic
if (HasCycle())
{
// verify cycle
DirectedEdge first = null, last = null;
foreach (var e in Cycle())
{
if (first == null) first = e;
if (last != null)
{
if (last.To() != e.From())
{
Console.Error.WriteLine($"cycle edges {last} and {e} not incident{Environment.NewLine}");
return false;
}
}
last = e;
}
if (last != null && last.To() != first.From())
{
Console.Error.WriteLine($"cycle edges {last} and {first} not incident{Environment.NewLine}");
return false;
}
}
return true;
}
private readonly IndexMinPQ<Double> _pq; // priority queue of vertices
#endregion Fields
#region Constructors
/// <summary>
/// Computes a shortest-paths tree from the source vertex <tt>s</tt> to every other
/// vertex in the edge-weighted digraph <tt>G</tt>.
/// </summary>
/// <param name="g">g the edge-weighted digraph</param>
/// <param name="s">s the source vertex</param>
/// <exception cref="ArgumentException">if an edge weight is negative</exception>
/// <exception cref="ArgumentException">unless 0 <= <tt>s</tt> <= <tt>V</tt> - 1</exception>
public DijkstraSP(EdgeWeightedDigraph g, int s)
{
foreach (var e in g.Edges())
{
if (e.Weight < 0)
throw new ArgumentException($"edge {e} has negative weight");
}
_distTo = new double[g.V];
_edgeTo = new DirectedEdge[g.V];
for (var v = 0; v < g.V; v++)
_distTo[v] = double.PositiveInfinity;
_distTo[s] = 0.0;
// relax vertices in order of distance from s
_pq = new IndexMinPQ<Double>(g.V);
_pq.Insert(s, _distTo[s]);
while (!_pq.IsEmpty())
{
var v = _pq.DelMin();
foreach (var e in g.Adj(v))
Relax(e);
}
// check optimality conditions
//assert check(G, s);
}
/// <summary>
/// Computes a shortest paths tree from each vertex to to every other vertex in
/// the edge-weighted digraph <tt>G</tt>.
/// </summary>
/// <param name="g">G the edge-weighted digraph</param>
/// <exception cref="ArgumentException">if an edge weight is negative</exception>
/// <exception cref="ArgumentException">unless 0 <= <tt>s</tt> <= <tt>V</tt> - 1</exception>
public DijkstraAllPairsSP(EdgeWeightedDigraph g)
{
_all = new DijkstraSP[g.V];
for (var v = 0; v < g.V; v++)
{
_all[v] = new DijkstraSP(g, v);
}
}
/// <summary>
/// Determines whether the edge-weighted digraph <tt>G</tt> has a topological
/// order and, if so, finds such an order.
/// </summary>
/// <param name="g">g the edge-weighted digraph</param>
public Topological(EdgeWeightedDigraph g)
{
var finder = new EdgeWeightedDirectedCycle(g);
if (!finder.HasCycle())
{
var dfs = new DepthFirstOrder(g);
_order = dfs.ReversePost();
}
}
/// <summary>
/// Determines whether the edge-weighted digraph <tt>G</tt> has a topological
/// order and, if so, finds such an order.
/// </summary>
/// <param name="g">g the edge-weighted digraph</param>
public Topological(EdgeWeightedDigraph g)
{
var finder = new EdgeWeightedDirectedCycle(g);
if (!finder.HasCycle())
{
var dfs = new DepthFirstOrder(g);
_order = dfs.ReversePost();
}
}
/// <summary>
/// Determines a depth-first order for the edge-weighted digraph <tt>G</tt>.
/// </summary>
/// <param name="g">g the edge-weighted digraph</param>
public DepthFirstOrder(EdgeWeightedDigraph g)
{
_pre = new int[g.V];
_post = new int[g.V];
_postorder = new Collections.Queue<Integer>();
_preorder = new Collections.Queue<Integer>();
_marked = new bool[g.V];
for (var v = 0; v < g.V; v++)
if (!_marked[v]) Dfs(g, v);
}
private Collections.Stack<DirectedEdge> _cycle; // directed cycle (or null if no such cycle)
#endregion Fields
#region Constructors
/// <summary>
/// Determines whether the edge-weighted digraph <tt>G</tt> has a directed cycle and,
/// if so, finds such a cycle.
/// </summary>
/// <param name="g">g the edge-weighted digraph</param>
public EdgeWeightedDirectedCycle(EdgeWeightedDigraph g)
{
_marked = new bool[g.V];
_onStack = new bool[g.V];
_edgeTo = new DirectedEdge[g.V];
for (var v = 0; v < g.V; v++)
if (!_marked[v]) Dfs(g, v);
// check that digraph has a cycle
//assert check(G);
}
public void Run()
{
// create random DAG with V vertices and E edges; then add F random edges
const int vv = 50;
const int e = 100;
const int f = 20;
var digraph = new EdgeWeightedDigraph(vv);
var vertices = new int[vv];
for (var i = 0; i < vv; i++)
vertices[i] = i;
StdRandom.Shuffle(vertices);
for (var i = 0; i < e; i++)
{
int v, w;
do
{
v = StdRandom.Uniform(vv);
w = StdRandom.Uniform(vv);
} while (v >= w);
var weight = StdRandom.Uniform();
digraph.AddEdge(new DirectedEdge(v, w, weight));
}
// add F extra edges
for (var i = 0; i < f; i++)
{
var v = StdRandom.Uniform(vv);
var w = StdRandom.Uniform(vv);
var weight = StdRandom.Uniform(0.0, 1.0);
digraph.AddEdge(new DirectedEdge(v, w, weight));
}
Console.WriteLine(digraph);
// find a directed cycle
var finder = new EdgeWeightedDirectedCycle(digraph);
if (finder.HasCycle())
{
Console.Write("Cycle: ");
foreach (var edge in finder.Cycle())
{
Console.Write(edge + " ");
}
Console.WriteLine();
}
// or give topologial sort
else
{
Console.WriteLine("No directed cycle");
}
Console.ReadLine();
}
/// <summary>
/// check optimality conditions:
/// (i) for all edges e: distTo[e.to()] <= distTo[e.from()] + e.weight()
/// (ii) for all edge e on the SPT: distTo[e.to()] == distTo[e.from()] + e.weight()
/// </summary>
/// <param name="g"></param>
/// <param name="s"></param>
/// <returns></returns>
public bool Check(EdgeWeightedDigraph g, int s)
{
// check that edge weights are nonnegative
if (g.Edges().Any(e => e.Weight < 0))
{
Console.Error.WriteLine("negative edge weight detected");
return false;
}
// check that distTo[v] and edgeTo[v] are consistent
if (Math.Abs(_distTo[s]) > 1E12 || _edgeTo[s] != null)
{
Console.Error.WriteLine("distTo[s] and edgeTo[s] inconsistent");
return false;
}
for (var v = 0; v < g.V; v++)
{
if (v == s) continue;
if (_edgeTo[v] == null && !double.IsPositiveInfinity(_distTo[v]))
{
Console.Error.WriteLine("distTo[] and edgeTo[] inconsistent");
return false;
}
}
// check that all edges e = v->w satisfy distTo[w] <= distTo[v] + e.weight()
for (var v = 0; v < g.V; v++)
{
foreach (var e in g.Adj(v))
{
int w = e.To();
if (_distTo[v] + e.Weight < _distTo[w])
{
Console.Error.WriteLine($"edge {e} not relaxed");
return false;
}
}
}
// check that all edges e = v->w on SPT satisfy distTo[w] == distTo[v] + e.weight()
for (var w = 0; w < g.V; w++)
{
if (_edgeTo[w] == null) continue;
var e = _edgeTo[w];
var v = e.From();
if (w != e.To()) return false;
if (Math.Abs(_distTo[v] + e.Weight - _distTo[w]) > 1E12)
{
Console.Error.WriteLine($"edge {e} on shortest path not tight");
return false;
}
}
return true;
}
/// <summary>
/// Determines a depth-first order for the edge-weighted digraph <tt>G</tt>.
/// </summary>
/// <param name="g">g the edge-weighted digraph</param>
public DepthFirstOrder(EdgeWeightedDigraph g)
{
_pre = new int[g.V];
_post = new int[g.V];
_postorder = new Collections.Queue <Integer>();
_preorder = new Collections.Queue <Integer>();
_marked = new bool[g.V];
for (var v = 0; v < g.V; v++)
{
if (!_marked[v])
{
Dfs(g, v);
}
}
}
private Collections.Stack <DirectedEdge> _cycle; // directed cycle (or null if no such cycle)
/// <summary>
/// Determines whether the edge-weighted digraph <tt>G</tt> has a directed cycle and,
/// if so, finds such a cycle.
/// </summary>
/// <param name="g">g the edge-weighted digraph</param>
public EdgeWeightedDirectedCycle(EdgeWeightedDigraph g)
{
_marked = new bool[g.V];
_onStack = new bool[g.V];
_edgeTo = new DirectedEdge[g.V];
for (var v = 0; v < g.V; v++)
{
if (!_marked[v])
{
Dfs(g, v);
}
}
// check that digraph has a cycle
//assert check(G);
}
/// <summary>
/// run DFS in edge-weighted digraph G from vertex v and compute preorder/postorder
/// </summary>
/// <param name="g"></param>
/// <param name="v"></param>
private void Dfs(EdgeWeightedDigraph g, int v)
{
_marked[v] = true;
_pre[v] = _preCounter++;
_preorder.Enqueue(v);
foreach (var e in g.Adj(v))
{
var w = e.To();
if (!_marked[w])
{
Dfs(g, w);
}
}
_postorder.Enqueue(v);
_post[v] = _postCounter++;
}
// by finding a cycle in predecessor graph
private void FindNegativeCycle()
{
var vv = _edgeTo.Length;
var spt = new EdgeWeightedDigraph(vv);
for (var v = 0; v < vv; v++)
{
if (_edgeTo[v] != null)
{
spt.AddEdge(_edgeTo[v]);
}
}
var finder = new EdgeWeightedDirectedCycle(spt);
_cycle = finder.Cycle();
}
private readonly DirectedEdge[] _edgeTo; // edgeTo[v] = last edge on longest s->v path
#endregion Fields
#region Constructors
/// <summary>
/// Computes a longest paths tree from <tt>s</tt> to every other vertex in
/// the directed acyclic graph <tt>G</tt>.
/// </summary>
/// <param name="g">g the acyclic digraph</param>
/// <param name="s">s the source vertex</param>
/// <exception cref="ArgumentException">if the digraph is not acyclic</exception>
/// <exception cref="ArgumentException">unless 0 <= <tt>s</tt> <= <tt>V</tt> - 1</exception>
public AcyclicLP(EdgeWeightedDigraph g, int s)
{
_distTo = new double[g.V];
_edgeTo = new DirectedEdge[g.V];
for (var v = 0; v < g.V; v++)
_distTo[v] = double.NegativeInfinity;
_distTo[s] = 0.0;
// relax vertices in toplogical order
var topological = new Topological(g);
if (!topological.HasOrder())
throw new ArgumentException("Digraph is not acyclic.");
foreach (int v in topological.Order())
{
foreach (var e in g.Adj(v))
Relax(e);
}
}
private IEnumerable<DirectedEdge> _cycle; // negative cycle (or null if no such cycle)
#endregion Fields
#region Constructors
/// <summary>
/// Computes a shortest paths tree from <tt>s</tt> to every other vertex in
/// the edge-weighted digraph <tt>G</tt>.
/// </summary>
/// <param name="g">g the acyclic digraph</param>
/// <param name="s">s the source vertex</param>
/// <exception cref="ArgumentException">unless 0 le; <tt>s</tt> le; <tt>V</tt> - 1</exception>
public BellmanFordSP(EdgeWeightedDigraph g, int s)
{
_distTo = new double[g.V];
_edgeTo = new DirectedEdge[g.V];
_onQueue = new bool[g.V];
for (var v = 0; v < g.V; v++)
_distTo[v] = double.PositiveInfinity;
_distTo[s] = 0.0;
// Bellman-Ford algorithm
_queue = new Collections.Queue<Integer>();
_queue.Enqueue(s);
_onQueue[s] = true;
while (!_queue.IsEmpty() && !HasNegativeCycle())
{
int v = _queue.Dequeue();
_onQueue[v] = false;
Relax(g, v);
}
}
/// <summary>
/// Returns a negative cycle, or <tt>null</tt> if there is no such cycle.
/// </summary>
/// <returns>a negative cycle as an iterable of edges, or <tt>null</tt> if there is no such cycle</returns>
public IEnumerable <DirectedEdge> NegativeCycle()
{
for (var v = 0; v < _distTo.Length; v++)
{
// negative cycle in v's predecessor graph
if (_distTo[v][v] < 0.0)
{
var spt = new EdgeWeightedDigraph(_edgeTo.Length);
for (var w = 0; w < _edgeTo.Length; w++)
{
if (_edgeTo[v][w] != null)
{
spt.AddEdge(_edgeTo[v][w]);
}
}
var finder = new EdgeWeightedDirectedCycle(spt);
return(finder.Cycle());
}
}
return(null);
}
/// <summary>
/// Initializes a new edge-weighted digraph that is a deep copy of <tt>G</tt>.
/// </summary>
/// <param name="g">g the edge-weighted digraph to copy</param>
public EdgeWeightedDigraph(EdgeWeightedDigraph g) : this(g.V)
{
E = g.E;
for (var v = 0; v < g.V; v++)
{
_indegree[v] = g.Indegree(v);
}
for (var v = 0; v < g.V; v++)
{
// reverse so that adjacency list is in same order as original
var reverse = new Collections.Stack <DirectedEdge>();
foreach (var e in g._adj[v])
{
reverse.Push(e);
}
foreach (var e in reverse)
{
_adj[v].Add(e);
}
}
}
private IEnumerable <DirectedEdge> _cycle; // negative cycle (or null if no such cycle)
/// <summary>
/// Computes a shortest paths tree from <tt>s</tt> to every other vertex in
/// the edge-weighted digraph <tt>G</tt>.
/// </summary>
/// <param name="g">g the acyclic digraph</param>
/// <param name="s">s the source vertex</param>
/// <exception cref="ArgumentException">unless 0 le; <tt>s</tt> le; <tt>V</tt> - 1</exception>
public BellmanFordSP(EdgeWeightedDigraph g, int s)
{
_distTo = new double[g.V];
_edgeTo = new DirectedEdge[g.V];
_onQueue = new bool[g.V];
for (var v = 0; v < g.V; v++)
{
_distTo[v] = double.PositiveInfinity;
}
_distTo[s] = 0.0;
// Bellman-Ford algorithm
_queue = new Collections.Queue <Integer>();
_queue.Enqueue(s);
_onQueue[s] = true;
while (!_queue.IsEmpty() && !HasNegativeCycle())
{
int v = _queue.Dequeue();
_onQueue[v] = false;
Relax(g, v);
}
}
// check optimality conditions
private bool Check(EdgeWeightedDigraph g, int s)
{
// no negative cycle
if (!HasNegativeCycle)
{
for (var v = 0; v < g.V; v++)
{
foreach (var e in g.Adj(v))
{
var w = e.To();
for (var i = 0; i < g.V; i++)
{
if (_distTo[i][w] > _distTo[i][v] + e.Weight)
{
Console.WriteLine($"edge {e} is eligible");
return(false);
}
}
}
}
}
return(true);
}
// check optimality conditions: either
// (i) there exists a negative cycle reacheable from s
// or
// (ii) for all edges e = v->w: distTo[w] <= distTo[v] + e.weight()
// (ii') for all edges e = v->w on the SPT: distTo[w] == distTo[v] + e.weight()
private bool Check(EdgeWeightedDigraph g, int s)
{
// has a negative cycle
if (HasNegativeCycle())
{
var weight = NegativeCycle().Sum(e => e.Weight);
if (weight >= 0.0)
{
Console.WriteLine($"error: weight of negative cycle = {weight}");
return(false);
}
}
// no negative cycle reachable from source
else
{
// check that distTo[v] and edgeTo[v] are consistent
if (Math.Abs(_distTo[s]) > 0.0001 || _edgeTo[s] != null)
{
Console.WriteLine("distanceTo[s] and edgeTo[s] inconsistent");
return(false);
}
for (var v = 0; v < g.V; v++)
{
if (v == s)
{
continue;
}
if (_edgeTo[v] != null || double.IsPositiveInfinity(_distTo[v]))
{
continue;
}
Console.WriteLine("distTo[] and edgeTo[] inconsistent");
return(false);
}
// check that all edges e = v->w satisfy distTo[w] <= distTo[v] + e.weight()
for (var v = 0; v < g.V; v++)
{
foreach (var e in g.Adj(v))
{
var w = e.To();
if (!(_distTo[v] + e.Weight < _distTo[w]))
{
continue;
}
Console.WriteLine($"edge {e} not relaxed");
return(false);
}
}
// check that all edges e = v->w on SPT satisfy distTo[w] == distTo[v] + e.weight()
for (var w = 0; w < g.V; w++)
{
if (_edgeTo[w] == null)
{
continue;
}
var e = _edgeTo[w];
var v = e.From();
if (w != e.To())
{
return(false);
}
if (Math.Abs(_distTo[v] + e.Weight - _distTo[w]) < 0.0001)
{
continue;
}
Console.WriteLine($"edge {e} on shortest path not tight");
return(false);
}
}
Console.WriteLine("Satisfies optimality conditions");
Console.WriteLine();
return(true);
}
public void Run()
{
Console.WriteLine("Choose file:"); // Prompt
Console.WriteLine("1 - tinyEWD.txt"); // Prompt
Console.WriteLine("2 - mediumEWD.txt"); // Prompt
//Console.WriteLine("3 - mediumEWG.txt"); // Prompt
Console.WriteLine("or quit"); // Prompt
var fileNumber = Console.ReadLine();
string fileName;
switch (fileNumber)
{
case "1":
fileName = "tinyEWD.txt";
break;
case "2":
fileName = "mediumEWD.txt";
break;
//case "3":
// fileName = "largeEWG.zip";
// break;
case "quit":
return;
default:
return;
}
var @in = new In($"Files\\Graphs\\{fileName}");
var lines = @in.ReadAllLines();
var lineIterator = 0;
var v = 0;
var e = 0;
var edges = new List<DirectedEdge>();
foreach (var line in lines)
{
if (lineIterator == 0)
{
v = Convert.ToInt32(line);
}
if (lineIterator == 1)
{
e = Convert.ToInt32(line);
}
if (lineIterator > 1)
{
var lineSplitted = line.Split(new[] {' '}, StringSplitOptions.RemoveEmptyEntries);
var ve = Convert.ToInt32(lineSplitted[0]);
var we = Convert.ToInt32(lineSplitted[1]);
var weight = Convert.ToDouble(lineSplitted[2], CultureInfo.InvariantCulture);
var edge = new DirectedEdge(ve, we, weight);
edges.Add(edge);
}
lineIterator++;
}
var edgeWeightedGraph = new EdgeWeightedDigraph(v, e, edges);
Console.WriteLine(edgeWeightedGraph);
Console.ReadLine();
}
/// <summary>
/// check optimality conditions:
/// (i) for all edges e: distTo[e.to()] <= distTo[e.from()] + e.weight()
/// (ii) for all edge e on the SPT: distTo[e.to()] == distTo[e.from()] + e.weight()
/// </summary>
/// <param name="g"></param>
/// <param name="s"></param>
/// <returns></returns>
public bool Check(EdgeWeightedDigraph g, int s)
{
// check that edge weights are nonnegative
if (g.Edges().Any(e => e.Weight < 0))
{
Console.Error.WriteLine("negative edge weight detected");
return(false);
}
// check that distTo[v] and edgeTo[v] are consistent
if (Math.Abs(_distTo[s]) > 1E12 || _edgeTo[s] != null)
{
Console.Error.WriteLine("distTo[s] and edgeTo[s] inconsistent");
return(false);
}
for (var v = 0; v < g.V; v++)
{
if (v == s)
{
continue;
}
if (_edgeTo[v] == null && !double.IsPositiveInfinity(_distTo[v]))
{
Console.Error.WriteLine("distTo[] and edgeTo[] inconsistent");
return(false);
}
}
// check that all edges e = v->w satisfy distTo[w] <= distTo[v] + e.weight()
for (var v = 0; v < g.V; v++)
{
foreach (var e in g.Adj(v))
{
int w = e.To();
if (_distTo[v] + e.Weight < _distTo[w])
{
Console.Error.WriteLine($"edge {e} not relaxed");
return(false);
}
}
}
// check that all edges e = v->w on SPT satisfy distTo[w] == distTo[v] + e.weight()
for (var w = 0; w < g.V; w++)
{
if (_edgeTo[w] == null)
{
continue;
}
var e = _edgeTo[w];
var v = e.From();
if (w != e.To())
{
return(false);
}
if (Math.Abs(_distTo[v] + e.Weight - _distTo[w]) > 1E12)
{
Console.Error.WriteLine($"edge {e} on shortest path not tight");
return(false);
}
}
return(true);
}
/// <summary>
/// Computes a shortest paths tree from each vertex to to every other vertex in
/// the edge-weighted digraph <tt>G</tt>.
/// </summary>
/// <param name="g">G the edge-weighted digraph</param>
/// <exception cref="ArgumentException">if an edge weight is negative</exception>
/// <exception cref="ArgumentException">unless 0 <= <tt>s</tt> <= <tt>V</tt> - 1</exception>
public DijkstraAllPairsSP(EdgeWeightedDigraph g)
{
_all = new DijkstraSP[g.V];
for (var v = 0; v < g.V; v++)
_all[v] = new DijkstraSP(g, v);
}
// check optimality conditions
private bool Check(EdgeWeightedDigraph g, int s)
{
// no negative cycle
if (!HasNegativeCycle)
{
for (var v = 0; v < g.V; v++)
{
foreach (var e in g.Adj(v))
{
var w = e.To();
for (var i = 0; i < g.V; i++)
{
if (_distTo[i][w] > _distTo[i][v] + e.Weight)
{
Console.WriteLine($"edge {e} is eligible");
return false;
}
}
}
}
}
return true;
}
/// <summary>
/// Returns a negative cycle, or <tt>null</tt> if there is no such cycle.
/// </summary>
/// <returns>a negative cycle as an iterable of edges, or <tt>null</tt> if there is no such cycle</returns>
public IEnumerable<DirectedEdge> NegativeCycle()
{
for (var v = 0; v < _distTo.Length; v++)
{
// negative cycle in v's predecessor graph
if (_distTo[v][v] < 0.0)
{
var spt = new EdgeWeightedDigraph(_edgeTo.Length);
for (var w = 0; w < _edgeTo.Length; w++)
if (_edgeTo[v][w] != null)
spt.AddEdge(_edgeTo[v][w]);
var finder = new EdgeWeightedDirectedCycle(spt);
return finder.Cycle();
}
}
return null;
}
public void Run()
{
Console.WriteLine("Choose file:"); // Prompt
Console.WriteLine("1 - rates.txt"); // Prompt
//Console.WriteLine("2 - mediumEWD.txt"); // Prompt
//Console.WriteLine("3 - mediumEWG.txt"); // Prompt
Console.WriteLine("or quit"); // Prompt
var fileNumber = Console.ReadLine();
string fileName;
switch (fileNumber)
{
case "1":
fileName = "rates.txt";
break;
//case "2":
// fileName = "mediumEWD.txt";
// break;
//case "3":
// fileName = "largeEWG.zip";
// break;
case "quit":
return;
default:
return;
}
var @in = new In($"Files\\Graphs\\{fileName}");
var lines = @in.ReadAllLines();
var lineIterator = 0;
var currencyIterator = 0;
// number of jobs
var n = 0;
// source and sink
var source = 0;
var sink = 0;
var v = 0;
var e = 0;
var edges = new List<DirectedEdge>();
string[] names = {};
foreach (var line in lines)
{
if (lineIterator == 0)
{
v = Convert.ToInt32(line);
names = new string[v];
}
if (lineIterator > 0)
{
var wordsIterator = 0;
var ratesIterator = 0;
var lineSplitted = line.Split(new[] { ' ' }, StringSplitOptions.RemoveEmptyEntries);
foreach (var word in lineSplitted)
{
if (wordsIterator == 0)
{
names[wordsIterator] = word;
}
if (wordsIterator > 0)
{
double rate = Convert.ToSingle(word,CultureInfo.InvariantCulture);
var edge = new DirectedEdge(currencyIterator, ratesIterator, -Math.Log(rate));
edges.Add(edge);
e++;
ratesIterator++;
}
wordsIterator ++;
}
currencyIterator++;
}
lineIterator++;
}
var edgeWeightedDigraph = new EdgeWeightedDigraph(v, e, edges);
Console.WriteLine(edgeWeightedDigraph);
// find shortest path from s to each other vertex in DAG
var arbitrage = new Arbitrage(edgeWeightedDigraph,source);
var spt = arbitrage.GetShotestPath();
// print results
Console.WriteLine(" job start finish");
Console.WriteLine("--------------------");
if (spt.HasNegativeCycle())
{
var stake = 1000.0;
foreach (var edge in spt.NegativeCycle())
{
Console.Write($"{stake:0.00000} {names[edge.From()]} ");
stake *= Math.Exp(-edge.Weight);
Console.Write($"= {stake:0.00000} {names[edge.To()]}{Environment.NewLine}");
}
}
else
{
Console.WriteLine("No arbitrage opportunity");
}
Console.ReadLine();
}
public void Run()
{
Console.WriteLine("Choose file:"); // Prompt
Console.WriteLine("1 - tinyEWDAG.txt"); // Prompt
//Console.WriteLine("2 - mediumEWD.txt"); // Prompt
//Console.WriteLine("3 - mediumEWG.txt"); // Prompt
Console.WriteLine("or quit"); // Prompt
var fileNumber = Console.ReadLine();
string fileName;
switch (fileNumber)
{
case "1":
fileName = "tinyEWDAG.txt";
break;
//case "2":
// fileName = "mediumEWD.txt";
// break;
//case "3":
// fileName = "largeEWG.zip";
// break;
case "quit":
return;
default:
return;
}
var @in = new In($"Files\\Graphs\\{fileName}");
var lines = @in.ReadAllLines();
var lineIterator = 0;
var v = 0;
var e = 0;
var edges = new List<DirectedEdge>();
foreach (var line in lines)
{
if (lineIterator == 0)
{
v = Convert.ToInt32(line);
}
if (lineIterator == 1)
{
e = Convert.ToInt32(line);
}
if (lineIterator > 1)
{
var lineSplitted = line.Split(new[] { ' ' }, StringSplitOptions.RemoveEmptyEntries);
var ve = Convert.ToInt32(lineSplitted[0]);
var we = Convert.ToInt32(lineSplitted[1]);
var weight = Convert.ToDouble(lineSplitted[2], CultureInfo.InvariantCulture);
var edge = new DirectedEdge(ve, we, weight);
edges.Add(edge);
}
lineIterator++;
}
var edgeWeightedDigraph = new EdgeWeightedDigraph(v, e, edges);
Console.WriteLine(edgeWeightedDigraph);
const int s = 5;
// find shortest path from s to each other vertex in DAG
var sp = new AcyclicSP(edgeWeightedDigraph, s);
for (var vi = 0; vi < edgeWeightedDigraph.V; vi++)
{
if (sp.HasPathTo(vi))
{
Console.Write($"{s} to {vi} {$"{sp.DistTo(vi):0.00}"} ");
foreach (var ei in sp.PathTo(vi))
{
Console.Write($"{ei} ");
}
Console.WriteLine();
}
else
{
Console.Write($"{s} to {vi} no path{Environment.NewLine}");
}
}
Console.ReadLine();
}
/// <summary>
/// check that algorithm computes either the topological order or finds a directed cycle
/// </summary>
/// <param name="g"></param>
/// <param name="v"></param>
private void Dfs(EdgeWeightedDigraph g, int v)
{
_onStack[v] = true;
_marked[v] = true;
foreach (var e in g.Adj(v))
{
var w = e.To();
// short circuit if directed cycle found
if (_cycle != null) return;
//found new vertex, so recur
if (!_marked[w])
{
_edgeTo[w] = e;
Dfs(g, w);
}
// trace back directed cycle
else if (_onStack[w])
{
TraceBackDirectedCycle(e, w);
return;
}
}
_onStack[v] = false;
}
public void Run()
{
Console.WriteLine("Choose file:"); // Prompt
Console.WriteLine("1 - jobsPC.txt"); // Prompt
//Console.WriteLine("2 - mediumEWD.txt"); // Prompt
//Console.WriteLine("3 - mediumEWG.txt"); // Prompt
Console.WriteLine("or quit"); // Prompt
var fileNumber = Console.ReadLine();
string fileName;
switch (fileNumber)
{
case "1":
fileName = "jobsPC.txt";
break;
//case "2":
// fileName = "mediumEWD.txt";
// break;
//case "3":
// fileName = "largeEWG.zip";
// break;
case "quit":
return;
default:
return;
}
var @in = new In($"Files\\Graphs\\{fileName}");
var lines = @in.ReadAllLines();
var lineIterator = 0;
var i = 0;
// number of jobs
var n = 0;
// source and sink
var source = 0;
var sink = 0;
var v = 0;
var e = 0;
var edges = new List<DirectedEdge>();
foreach (var line in lines)
{
if (lineIterator == 0)
{
n = Convert.ToInt32(line);
source = 2*n;
sink = 2*n + 1;
v = sink+1;
}
if (lineIterator > 0)
{
var lineSplitted = line.Split(new[] {' '}, StringSplitOptions.RemoveEmptyEntries);
var duration = Convert.ToDouble(lineSplitted[0], CultureInfo.InvariantCulture);
edges.Add(new DirectedEdge(source, i, 0.0));
e++;
edges.Add(new DirectedEdge(i + n, sink, 0.0));
e++;
edges.Add(new DirectedEdge(i, i + n, duration));
e++;
// precedence constraints
var m = Convert.ToInt32(lineSplitted[1], CultureInfo.InvariantCulture);
for (var j = 0; j < m; j++)
{
var precedent = Convert.ToInt32(lineSplitted[1 + (j + 1)], CultureInfo.InvariantCulture);
edges.Add(new DirectedEdge(n + i, precedent, 0.0));
e++;
}
i++;
}
lineIterator++;
}
var edgeWeightedDigraph = new EdgeWeightedDigraph(v, e, edges);
Console.WriteLine(edgeWeightedDigraph);
// find shortest path from s to each other vertex in DAG
var lp = new AcyclicLP(edgeWeightedDigraph, source);
// print results
Console.WriteLine(" job start finish");
Console.WriteLine("--------------------");
for (var k = 0; k < n; k++)
{
Console.Write($"{k} {lp.DistTo(k)} {lp.DistTo(k + n)}{Environment.NewLine}");
}
Console.Write($"Finish time: {lp.DistTo(sink)}{Environment.NewLine}");
Console.ReadLine();
}
/// <summary>
/// run DFS in edge-weighted digraph G from vertex v and compute preorder/postorder
/// </summary>
/// <param name="g"></param>
/// <param name="v"></param>
private void Dfs(EdgeWeightedDigraph g, int v)
{
_marked[v] = true;
_pre[v] = _preCounter++;
_preorder.Enqueue(v);
foreach (var e in g.Adj(v))
{
var w = e.To();
if (!_marked[w])
{
Dfs(g, w);
}
}
_postorder.Enqueue(v);
_post[v] = _postCounter++;
}
// by finding a cycle in predecessor graph
private void FindNegativeCycle()
{
var vv = _edgeTo.Length;
var spt = new EdgeWeightedDigraph(vv);
for (var v = 0; v < vv; v++)
if (_edgeTo[v] != null)
spt.AddEdge(_edgeTo[v]);
var finder = new EdgeWeightedDirectedCycle(spt);
_cycle = finder.Cycle();
}
// relax vertex v and put other endpoints on queue if changed
private void Relax(EdgeWeightedDigraph g, int v)
{
foreach (var e in g.Adj(v))
{
var w = e.To();
if (_distTo[w] > _distTo[v] + e.Weight)
{
_distTo[w] = _distTo[v] + e.Weight;
_edgeTo[w] = e;
if (!_onQueue[w])
{
_queue.Enqueue(w);
_onQueue[w] = true;
}
}
if (_cost++ % g.V == 0)
{
FindNegativeCycle();
if (HasNegativeCycle()) return; // found a negative cycle
}
}
}
/// <summary>
/// Initializes a new edge-weighted digraph that is a deep copy of <tt>G</tt>.
/// </summary>
/// <param name="g">g the edge-weighted digraph to copy</param>
public EdgeWeightedDigraph(EdgeWeightedDigraph g)
: this(g.V)
{
E = g.E;
for (var v = 0; v < g.V; v++)
_indegree[v] = g.Indegree(v);
for (var v = 0; v < g.V; v++)
{
// reverse so that adjacency list is in same order as original
var reverse = new Collections.Stack<DirectedEdge>();
foreach (var e in g._adj[v])
{
reverse.Push(e);
}
foreach (var e in reverse)
{
_adj[v].Add(e);
}
}
}
// check optimality conditions: either
// (i) there exists a negative cycle reacheable from s
// or
// (ii) for all edges e = v->w: distTo[w] <= distTo[v] + e.weight()
// (ii') for all edges e = v->w on the SPT: distTo[w] == distTo[v] + e.weight()
private bool Check(EdgeWeightedDigraph g, int s)
{
// has a negative cycle
if (HasNegativeCycle())
{
var weight = NegativeCycle().Sum(e => e.Weight);
if (weight >= 0.0)
{
Console.WriteLine($"error: weight of negative cycle = {weight}");
return false;
}
}
// no negative cycle reachable from source
else
{
// check that distTo[v] and edgeTo[v] are consistent
if (Math.Abs(_distTo[s]) > 0.0001 || _edgeTo[s] != null)
{
Console.WriteLine("distanceTo[s] and edgeTo[s] inconsistent");
return false;
}
for (var v = 0; v < g.V; v++)
{
if (v == s) continue;
if (_edgeTo[v] != null || double.IsPositiveInfinity(_distTo[v])) continue;
Console.WriteLine("distTo[] and edgeTo[] inconsistent");
return false;
}
// check that all edges e = v->w satisfy distTo[w] <= distTo[v] + e.weight()
for (var v = 0; v < g.V; v++)
{
foreach (var e in g.Adj(v))
{
var w = e.To();
if (!(_distTo[v] + e.Weight < _distTo[w])) continue;
Console.WriteLine($"edge {e} not relaxed");
return false;
}
}
// check that all edges e = v->w on SPT satisfy distTo[w] == distTo[v] + e.weight()
for (var w = 0; w < g.V; w++)
{
if (_edgeTo[w] == null) continue;
var e = _edgeTo[w];
var v = e.From();
if (w != e.To()) return false;
if (Math.Abs(_distTo[v] + e.Weight - _distTo[w]) < 0.0001) continue;
Console.WriteLine($"edge {e} on shortest path not tight");
return false;
}
}
Console.WriteLine("Satisfies optimality conditions");
Console.WriteLine();
return true;
}
