归并排序(自顶向下)
public class Merge{
private static Comparable[] aux; //辅助数组j
public static void sort(Comparable[] a){
aux = new Comparable[a.length];
sort(a, 0, a.length - 1);
}
public static void sort(Comparable[] a, int lo, int hi){
if(hi <=lo)
return;
int mid = lo + (hi - lo)/2;
sort(a, lo, mid); //将左半边排序
sort(a, mid + 1, hi); //右半边排序
merge(a, lo, mid, hi);
}
public static void merge(Comparable[] a, int lo, int mid, int hi){
int i = lo, j = mid + 1;
for(int k = lo; k <= hi; k++){
aux[k] = a[k];
}
for(int k = lo; k <= hi; k++){
if(i > mid)
a[k] = aux[j++];
else if(j > hi)
a[k] = aux[i++];
else if(aux[j].compareTo(a[i]) < 0)
a[k] = aux[j++];
else
a[k] = aux[i++];
}
}
}
归并排序(自底向上)
public class MergeBU{
private static Comparable[] aux;
public static void merge(Comparable[] a, int lo, int mid, int hi){
int i = lo, j = mid + 1;
for(int k = lo; k <= hi; k++){
aux[k] = a[k];
}
for(int k = lo; k <= hi; k++){
if(i > mid)
a[k] = aux[j++];
else if(j > hi)
a[k] = aux[i++];
else if(aux[j].compareTo(a[i]) < 0)
a[k] = aux[j++];
else
a[k] = aux[i++];
}
}
public static void sort(Comparable[] a){
int N = a.length;
aux = new Comparable[N];
for(int sz = 1; sz < N; sz*=2){
for(int lo = 0; lo < N - sz; lo += sz+sz)
merge(a, lo, lo+sz-1, Math.min(lo+sz+sz-1, N-1));
}
}
}
在我电脑上用归并排序测试排序1000W个随机数大概需要2秒,而用希尔排序大概需要18秒。
快速排序
public class Quick{
private static int partition(Comparable[] a, int lo, int hi){
int i = lo, j = hi+1;
Comparable v = a[lo];
while(true){
while(a[++i].compareTo(v) < 0)
if(i == hi) break;
while(v.compareTo(a[--j]) < 0)
if(j == lo) break;
if(i >= j) break;
exch(a, i, j);
}
exch(a, lo, j);
return j;
}
private static void exch(Comparable[] a, int i, int j){
Comparable temp = a[i];
a[i] = a[j];
a[j] = temp;
}
public static void sort(Comparable[] a){
sort(a, 0, a.length - 1);
}
private static void sort(Comparable[] a, int lo, int hi){
if(hi <= 0)return;
int j = partition(a, lo, hi);
sort(a, lo, j-1);
sort(a, j+1, hi);
}
}