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Iterative Quick Sort

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25 Jan 2008CPOL3 min read 60.6K   281   14  
An iterative implementation of Quicksort
/// >IttvQuickSort.cs
///   This class implements an iterative 'QUICKSORT'. 
///   If the amount of data to be sorted is doubled then the time taken to do the sort is
/// multiplied by a constant 2.8.

using System;
using System.Collections.Generic;
using System.Text;

namespace IterativeQuickSort
{
    class IttvQuickSort
    {
        private int[] nData;
        private int nLength = 0;

        public IttvQuickSort()
        {
        }

        public IttvQuickSort(ref int[] nParaData)
        {
            this.SortData = nParaData; // ensure passed by value, not reference
        }

        public int[] SortData
        {
            set
            {
                if (value != null)
                {
                    nLength = value.GetLength(0);
                    nData = new int[nLength];
                    value.CopyTo(nData, 0);
                }
            }

            get
            {
                return nData;
            }
        }

        // Sort the whole array in ascending order
        public bool PerformSort()
        {
            bool bOK = false;

            if (nData != null)
                bOK = ExecuteActualSort(0, nData.GetUpperBound(0), true);

            return bOK;
        }

        // Sort the whole array in either ascending or descending order
        // Parameters: 
        //      bool bAscend: true  - sort in ascending order
        //                  : false - sort in descending order
        public bool PerformSort(bool bAscend)
        {
            bool bOK = false;

            if (nData != null)
                bOK = ExecuteActualSort(0, nData.GetUpperBound(0), bAscend);

            return bOK;
        }

        // Sort the array between a low and high bound in either ascending or descending order
        // Parameters: 
        //      int  nFirst : must be between 0 and the upper bound of the array.
        //                  : will be clamped to zero if out of range.
        //      int  nLast  : must be between 0 and the upper bound of the array.
        //                  : must be greater than nFirst.
        //                  : will be clamped to the upper bound of the array if out of range.
        //      bool bAscend: true  - sort in ascending order
        //                  : false - sort in descending order
        public bool PerformSort(int nFirst, int nLast, bool bAscend)
        {
            bool bOK = false;

            if (nData != null)
            {
                int nUpperBound = nData.GetUpperBound(0);

                if (nFirst < 0)
                    nFirst = 0;
                else if (nFirst > nUpperBound)
                    nFirst = 0;

                if (nLast <= nFirst)
                    nLast = nUpperBound;

                if (nLast > nUpperBound)
                    nLast = nUpperBound;

                if (nFirst < nLast)
                    bOK = ExecuteActualSort(nFirst, nLast, bAscend);
            }

            return bOK;
        }

        // Sort the array between a low and high bound in either ascending or descending order
        // Parameters: 
        //      int  nFirst : between 0 and the upper bound of the array.
        //      int  nLast  : between 0 and the upper bound of the array.
        //                  : will be greater than nFirst.
        //      bool bAscend: true  - sort in ascending order
        //                  : false - sort in descending order
        private bool ExecuteActualSort(int nFirst, int nLast, bool bAscend)
        {
            bool bSortOK = false;

            try
            {
                int i, j, nStkPtr = 0, nTmp;
                bool bSortCompleted = false, bDirection = true;

                // get the maximum size of stack required:
                int nStackMax = (int)((Math.Log(nLast) + 3) * 2); // from Knuth Vol 3.
                // Note, +3 is added because: 
                // +1 to round up rather than down, 
                // +1 because it's a full bottom-up stack (ie Stack[0] is never used),
                // +1 because data array is zero-indexed.

                int[,] nStack = new int[nStackMax, 2];

                do
                {
                    do
                    {
                        i = nFirst;
                        j = nLast;
                        bDirection = true;

                        do
                        {
                            if ((nData[i] > nData[j]) == bAscend)
                            {
                                // Swap the two items in the list pointed to by i and j
                                nTmp = nData[i];
                                nData[i] = nData[j];
                                nData[j] = nTmp;
                                bDirection = !bDirection;
                            }

                            if (bDirection)
                                j--;
                            else
                                i++;

                        }
                        while (i < j);

                        if (i + 1 < nLast)
                        {
                            // There's another partition to be sorted
                            nStkPtr++;
                            nStack[nStkPtr, 0] = i + 1;
                            nStack[nStkPtr, 1] = nLast;
                        }
                        nLast = i - 1;

                    }
                    while (nFirst < nLast);

                    if (nStkPtr == 0)
                    {
                        // No more partitions to sort, so by definition we've finished!
                        bSortCompleted = true;
                    }

                    else
                    {
                        // Pop the most recently stored partition and sort that
                        nFirst = nStack[nStkPtr, 0];
                        nLast = nStack[nStkPtr, 1];
                        nStkPtr--;
                    }
                }

                while (!bSortCompleted);

                bSortOK = true;
            }

            catch { }

            return bSortOK;
        }
    }
}

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


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