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A Fast Priority Queue Implementation of the Dijkstra Shortest Path Algorithm

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4 Aug 2013CPOL4 min read 188.8K   5.1K   78  
Anyone needs a fast, efficient algorithm to compute the shortest path in C#? This article provides one.
using System;
using System.Collections;

namespace DataStructTest
{
	public interface IPriorityQueue : ICollection, ICloneable, IList
	{
		int Push(object O);
		object Pop();
		object Peek();
		void Update(int i);
	}
	public class BinaryPriorityQueue : IPriorityQueue, ICollection, ICloneable, IList
	{
		protected ArrayList InnerList = new ArrayList();
		protected IComparer Comparer;

		#region contructors
		public BinaryPriorityQueue() : this(System.Collections.Comparer.Default)
		{}
		public BinaryPriorityQueue(IComparer c)
		{
			Comparer = c;
		}
		public BinaryPriorityQueue(int C) : this(System.Collections.Comparer.Default,C)
		{}
		public BinaryPriorityQueue(IComparer c, int Capacity)
		{
			Comparer = c;
			InnerList.Capacity = Capacity;
		}

		protected BinaryPriorityQueue(ArrayList Core, IComparer Comp, bool Copy)
		{
			if(Copy)
				InnerList = Core.Clone() as ArrayList;
			else
				InnerList = Core;
			Comparer = Comp;
		}

		#endregion
		protected void SwitchElements(int i, int j)
		{
			object h = InnerList[i];
			InnerList[i] = InnerList[j];
			InnerList[j] = h;
		}

		protected virtual int OnCompare(int i, int j)
		{
			return Comparer.Compare(InnerList[i],InnerList[j]);
		}

		#region public methods
		/// <summary>
		/// Push an object onto the PQ
		/// </summary>
		/// <param name="O">The new object</param>
		/// <returns>The index in the list where the object is _now_. This will change when objects are taken from or put onto the PQ.</returns>
		public int Push(object O)
		{
			int p = InnerList.Count,p2;
			InnerList.Add(O); // E[p] = O
			do
			{
				if(p==0)
					break;
				p2 = (p-1)/2;
				if(OnCompare(p,p2)<0)
				{
					SwitchElements(p,p2);
					p = p2;
				}
				else
					break;
			}while(true);
			return p;
		}

		/// <summary>
		/// Get the smallest object and remove it.
		/// </summary>
		/// <returns>The smallest object</returns>
		public object Pop()
		{
			object result = InnerList[0];
			int p = 0,p1,p2,pn;
			InnerList[0] = InnerList[InnerList.Count-1];
			InnerList.RemoveAt(InnerList.Count-1);
			do
			{
				pn = p;
				p1 = 2*p+1;
				p2 = 2*p+2;
				if(InnerList.Count>p1 && OnCompare(p,p1)>0) // links kleiner
					p = p1;
				if(InnerList.Count>p2 && OnCompare(p,p2)>0) // rechts noch kleiner
					p = p2;
				
				if(p==pn)
					break;
				SwitchElements(p,pn);
			}while(true);
			return result;
		}

		/// <summary>
		/// Notify the PQ that the object at position i has changed
		/// and the PQ needs to restore order.
		/// Since you dont have access to any indexes (except by using the
		/// explicit IList.this) you should not call this function without knowing exactly
		/// what you do.
		/// </summary>
		/// <param name="i">The index of the changed object.</param>
		public void Update(int i)
		{
			int p = i,pn;
			int p1,p2;
			do	// aufsteigen
			{
				if(p==0)
					break;
				p2 = (p-1)/2;
				if(OnCompare(p,p2)<0)
				{
					SwitchElements(p,p2);
					p = p2;
				}
				else
					break;
			}while(true);
			if(p<i)
				return;
			do	   // absteigen
			{
				pn = p;
				p1 = 2*p+1;
				p2 = 2*p+2;
				if(InnerList.Count>p1 && OnCompare(p,p1)>0) // links kleiner
					p = p1;
				if(InnerList.Count>p2 && OnCompare(p,p2)>0) // rechts noch kleiner
					p = p2;
				
				if(p==pn)
					break;
				SwitchElements(p,pn);
			}while(true);
		}

		/// <summary>
		/// Get the smallest object without removing it.
		/// </summary>
		/// <returns>The smallest object</returns>
		public object Peek()
		{
			if(InnerList.Count>0)
				return InnerList[0];
			return null;
		}

		public bool Contains(object value)
		{
			return InnerList.Contains(value);
		}

		public void Clear()
		{
			InnerList.Clear();
		}

		public int Count
		{
			get
			{
				return InnerList.Count;
			}
		}
		IEnumerator IEnumerable.GetEnumerator()
		{
			return InnerList.GetEnumerator();
		}

		public void CopyTo(Array array, int index)
		{
			InnerList.CopyTo(array,index);
		}

		public object Clone()
		{
			return new BinaryPriorityQueue(InnerList,Comparer,true);	
		}

		public bool IsSynchronized
		{
			get
			{
				return InnerList.IsSynchronized;
			}
		}

		public object SyncRoot
		{
			get
			{
				return this;
			}
		}
		#endregion
		#region explicit implementation
		bool IList.IsReadOnly
		{
			get
			{
				return false;
			}
		}

		object IList.this[int index]
		{
			get
			{
				return InnerList[index];
			}
			set
			{
				InnerList[index] = value;
				Update(index);
			}
		}

		int IList.Add(object o)
		{
			return Push(o);
		}

		void IList.RemoveAt(int index)
		{
			throw new NotSupportedException();
		}

		void IList.Insert(int index, object value)
		{
			throw new NotSupportedException();
		}

		void IList.Remove(object value)
		{
			throw new NotSupportedException();
		}

		int IList.IndexOf(object value)
		{
			throw new NotSupportedException();
		}

		bool IList.IsFixedSize
		{
			get
			{
				return false;
			}
		}

		public static BinaryPriorityQueue Syncronized(BinaryPriorityQueue P)
		{
			return new BinaryPriorityQueue(ArrayList.Synchronized(P.InnerList),P.Comparer,false);
		}
		public static BinaryPriorityQueue ReadOnly(BinaryPriorityQueue P)
		{
			return new BinaryPriorityQueue(ArrayList.ReadOnly(P.InnerList),P.Comparer,false);
		}
		#endregion
	}
}

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
CEO Gravi Information Technologies and Consultancy Ltd
Turkey Turkey
Currently, also an MSc. student in Technical University of Munich, I develop practical application in computer vision for more than 5 years. I design real-time solutions to industrial and practical vision problems, both 3D and 2D. Very interested in developing algorithms in C relating math and vision.

Please visit Gravi's web page (http://www.gravi.com.tr) and my page (http://www.tbirdal.me) to learn more about what we develop.

I admire performance in algorithms.

"Great minds never die, they just tend to infinity..."

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