java JDK裡面容器類別的排序演算法使用的主要是插入排序和歸併排序,可能不同版本的實作有所不同,關鍵程式碼如下:
// merging
// if arrays are already sorted - no merge
if (((Comparable<Object>) in[med - 1]).compareTo(in[med]) <= 0) {
System.arraycopy(in, start, out, start, len);
return;
}
int r = med, i = start;
// use merging with exponential search
do {
Comparable<Object> fromVal = (Comparable<Object>) in[start];
Comparable<Object> rVal = (Comparable<Object>) in[r];
if (fromVal.compareTo(rVal) <= 0) {
int l_1 = find(in, rVal, -1, start + 1, med - 1);
int toCopy = l_1 - start + 1;
System.arraycopy(in, start, out, i, toCopy);
i += toCopy;
out[i++] = rVal;
r++;
start = l_1 + 1;
} else {
int r_1 = find(in, fromVal, 0, r + 1, end - 1);
int toCopy = r_1 - r + 1;
System.arraycopy(in, r, out, i, toCopy);
i += toCopy;
out[i++] = fromVal;
start++;
r = r_1 + 1;
}
} while ((end - r) > 0 && (med - start) > 0);
// copy rest of array
if ((end - r) <= 0) {
System.arraycopy(in, start, out, i, med - start);
} else {
System.arraycopy(in, r, out, i, end - r);
}
}
如{1,2,3,5,8,13}使用下列集合表示:
0 1 1 1 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0
偽代碼如下:
for (i in [0~n-1]) bit[i] = 0;
for(i in [0~n-1])
if (i in input file)
bit[i] = 1
for(i in [0~n-1])
if(bit[i] == 1)
output i
用java 程式碼嘗試下,效率果然不錯:
public static void main(final String[] args) {
List<Integer> firstNum = new ArrayList<Integer>();
List<Integer> secondNum = new ArrayList<Integer>();
for (int i = 1; i <= 1000000; i++) {
firstNum.add(i);
secondNum.add(i);
}
Collections.shuffle(firstNum);
Collections.shuffle(secondNum);
getStartTime();
Collections.sort(firstNum);
getEndTime("java sort run time ");
getStartTime();
secondNum = uniqueSort(secondNum);
getEndTime("uniqueSort run time ");
}
public static List<Integer> uniqueSort(final List<Integer> uniqueList) {
javaUniqueSort.tempList.clear();
for (int i = 0; i < javaUniqueSort.temp.length; i++) {
javaUniqueSort.temp[i] = 0;
}
for (int i = 0; i < uniqueList.size(); i++) {
javaUniqueSort.temp[uniqueList.get(i)] = 1;
}
for (int i = 0; i < javaUniqueSort.temp.length; i++) {
if (javaUniqueSort.temp[i] == 1) {
javaUniqueSort.tempList.add(i);
}
}
return javaUniqueSort.tempList;
}
public static void getStartTime() {
javaShuffle.start = System.nanoTime();
}
public static void getEndTime(final String s) {
javaShuffle.end = System.nanoTime();
System.out.println(s + ": " + (javaShuffle.end - javaShuffle.start) + "ns");
}
}
運行時間:
java sort run time : 1257737334ns
uniqueSort run time : 170228290ns
java sort run time : 1202749828ns
uniqueSort run time : 169327770ns
public static void main(final String[] args) {
Random random = new Random();
List<Integer> firstNum = new ArrayList<Integer>();
List<Integer> secondNum = new ArrayList<Integer>();
for (int i = 1; i <= 100000; i++) {
firstNum.add(i);
secondNum.add(i);
firstNum.add(random.nextInt(i + 1));
secondNum.add(random.nextInt(i + 1));
}
Collections.shuffle(firstNum);
Collections.shuffle(secondNum);
getStartTime();
Collections.sort(firstNum);
getEndTime("java sort run time ");
getStartTime();
secondNum = uniqueSort(secondNum);
getEndTime("uniqueSort run time ");
}
public static List<Integer> uniqueSort(final List<Integer> uniqueList) {
javaDuplicateSort.tempList.clear();
int[] temp = new int[200002];
for (int i = 0; i < temp.length; i++) {
temp[i] = 0;
}
for (int i = 0; i < uniqueList.size(); i++) {
temp[uniqueList.get(i)]++;
}
for (int i = 0; i < temp.length; i++) {
for (int j = temp[i]; j > 0; j--) {
javaDuplicateSort.tempList.add(i);
}
}
return javaDuplicateSort.tempList;
}
public static void getStartTime() {
javaShuffle.start = System.nanoTime();
}
public static void getEndTime(final String s) {
javaShuffle.end = System.nanoTime();
System.out.println(s + ": " + (javaShuffle.end - javaShuffle.start) + "ns");
}
}