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Exercise23_04.java
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package ch_23;
import java.util.Arrays;
/**
* 23.4 (Improve quick sort) The quick sort algorithm presented in the book selects the
* first element in the list as the pivot. Revise it by selecting the median among the
* first, middle, and last elements in the list.
*/
public class Exercise23_04 {
public static void quickSort(int[] list) {
/* Exercise 23.4 */
int medianIdx = indexOfMedian(list);
quickSort(list, medianIdx, list.length - 1);
}
public static void quickSort(int[] list, int first, int last) {
if (last > first) {
int pivotIndex = partition(list, first, last);
quickSort(list, first, pivotIndex - 1);
quickSort(list, pivotIndex + 1, last);
}
}
/**
* Partition the array list[first..last]
*/
public static int partition(int[] list, int first, int last) {
int pivot = list[first]; // Choose the first element as the pivot
int low = first + 1; // Index for forward search
int high = last; // Index for backward search
while (high > low) {
// Search forward from left
while (low <= high && list[low] <= pivot)
low++;
// Search backward from right
while (low <= high && list[high] > pivot)
high--;
// Swap two elements in the list
if (high > low) {
int temp = list[high];
list[high] = list[low];
list[low] = temp;
}
}
while (high > first && list[high] >= pivot)
high--;
// Swap pivot with list[high]
if (pivot > list[high]) {
list[first] = list[high];
list[high] = pivot;
return high;
} else {
return first;
}
}
/**
*
* @param list int array to find median of first, middle and last nums
* @return the index of the median value
*/
static int indexOfMedian(int[] list) {
int[] temp = {list[0], list[list.length / 2], list[list.length - 1]};
Arrays.sort(temp);
if (list[0] == temp[1]) {
return 0;
}
else if (list[list.length / 2] == temp[1]) {
return list.length / 2;
}
return list.length - 1;
}
/**
* A test method
*/
public static void main(String[] args) {
int[] list = {2, 3, 2, 5, 6, 1, -2, 3, 14, 12};
quickSort(list);
for (int i = 0; i < list.length; i++)
System.out.print(list[i] + " ");
}
}