Quick sort with median-of-three partitioning
public class AnotherQuickSort {
private long[] data;
private int len;
public AnotherQuickSort(int max) {
data = new long[max];
len = 0;
}
public void insert(long value) {
data[len] = value; // insert and increment size
len++;
}
public void display() {
System.out.print("Data:");
for (int j = 0; j < len; j++)
System.out.print(data[j] + " ");
System.out.println("");
}
public void quickSort() {
recQuickSort(0, len - 1);
}
public void recQuickSort(int left, int right) {
int size = right - left + 1;
if (size <= 3) // manual sort if small
manualSort(left, right);
else // quicksort if large
{
long median = medianOf3(left, right);
int partition = partitionIt(left, right, median);
recQuickSort(left, partition - 1);
recQuickSort(partition + 1, right);
}
}
public long medianOf3(int left, int right) {
int center = (left + right) / 2;
// order left & center
if (data[left] > data[center])
swap(left, center);
// order left & right
if (data[left] > data[right])
swap(left, right);
// order center & right
if (data[center] > data[right])
swap(center, right);
swap(center, right - 1); // put pivot on right
return data[right - 1]; // return median value
}
public void swap(int dex1, int dex2) {
long temp = data[dex1];
data[dex1] = data[dex2];
data[dex2] = temp;
}
public int partitionIt(int left, int right, long pivot) {
int leftPtr = left; // right of first elem
int rightPtr = right - 1; // left of pivot
while (true) {
// find bigger
while (data[++leftPtr] < pivot)
;
// find smaller
while (data[--rightPtr] > pivot)
;
if (leftPtr >= rightPtr) // if pointers cross, partition done
break;
else
// not crossed, so
swap(leftPtr, rightPtr); // swap elements
}
swap(leftPtr, right - 1); // restore pivot
return leftPtr; // return pivot location
}
public void manualSort(int left, int right) {
int size = right - left + 1;
if (size <= 1)
return; // no sort necessary
if (size == 2) { // 2-sort left and right
if (data[left] > data[right])
swap(left, right);
return;
} else // size is 3
{ // 3-sort left, center, & right
if (data[left] > data[right - 1])
swap(left, right - 1); // left, center
if (data[left] > data[right])
swap(left, right); // left, right
if (data[right - 1] > data[right])
swap(right - 1, right); // center, right
}
}
public static void main(String[] args) {
int maxSize = 16;
AnotherQuickSort arr = new AnotherQuickSort(maxSize);
for (int j = 0; j < maxSize; j++) { // random numbers
long n = (int) (java.lang.Math.random() * 99);
arr.insert(n);
}
arr.display();
arr.quickSort();
arr.display();
}
}
Home
Java Book
Runnable examples
Java Book
Runnable examples
Algorithm:
- Binary search
- Binary Search Insert
- Recursive Binary Search Implementation in Java
- Linear Searching double Arrays
- Bubble sort
- Heap sort
- Merge sort
- Fast Merge Sort
- Fast Quick Sort
- Simple version of quick sort
- Quicksort for sorting arrays
- Quick Sort Implementation with median-of-three partitioning and cutoff for small arrays
- Quick sort with median-of-three partitioning
- Insert sort
- Insert Sort for objects
- Selection sort
- Shell sort
- Fibonacci
- Hanoi puzzle
- Table of fahrenheit and celsius temperatures
- Growable integer array
- Linked List class
- Binary Tree
- Tree with generic user object