public static void mergeSort(int[] data) {
int[] left = firstHalf(data);
int[] right = secondHalf(data);
if( data.length > 1) {
mergeSort(left);
mergeSort(right);
merge(data, left, right);
}
}
public static void merge(int[] data, int[] left, int[] right) {
int tempArraySize = data.length;
int mergedNumbers [] = new int[tempArraySize]; //Temp array to take the sorted array
int mergePos;
int leftPos;
int rightPos;
int middle = data.length / 2;
mergePos = 0;
leftPos = 0; // 0 index
rightPos = middle + 1; //j is middle index
while (leftPos <= middle && rightPos <= data.length - 1) {
if (left[leftPos] < right[rightPos]) {
mergedNumbers[mergePos] = left[leftPos];
leftPos++;
}
else {
mergedNumbers[mergePos] = right[rightPos];
rightPos++;
}
mergePos++;
}
// when the right half array finishes sorting
while (leftPos <= middle) {
mergedNumbers[mergePos] = left[leftPos];
leftPos++;
mergePos++;
}
// when the left half array finishes sorting
while (rightPos <= data.length - 1) {
mergedNumbers[mergePos] = right[rightPos];
rightPos++;
mergePos++;
}
// give value to the original array
for (mergePos = 0; mergePos < tempArraySize; ++mergePos) {
data[leftPos + mergePos] = mergedNumbers[mergePos];
}
}
public static int[] firstHalf(int[] data) {
int[] tempFirst = new int[(data.length / 2) + 1];
for( int i = 0; i <= data.length / 2; i++) {
tempFirst[i] = data[i];
}
return tempFirst;
}
public static int[] secondHalf(int[] data) {
int[] tempSecond = new int[(data.length / 2) + 1];
for( int i = (data.length / 2) + 1; i < data.length; i++) { // Middle to the end
for(int j = 0; j <= data.length / 2; j++) {
tempSecond[j] = data[i];
}
}
return tempSecond;
}
这是我做的。我的mergeSort方法使错误“ java.lang.StackOverflowError”我犯了什么错误?我制作了firstHalf和secondHalf方法来获取索引0〜中间和middle + 1 + 1〜结束。这些方法是从原始“数据”数组中获取值的。“合并”方法与常见的MergeSort代码相同。我必须在mergeSort方法中建立一个基本案例吗?
使用这种方法,返回合并的数组更简单。一次性分配临时数组,并使用索引在两个数组之间合并数据,而不是创建临时数组和复制数据,这样会更快。注释中指出的修复程序。
public static int[] mergeSort(int[] data) { // fix
int[] left = firstHalf(data);
int[] right = secondHalf(data);
if(data.length < 2) // change
return data; // fix
left = mergeSort(left); // fix
right = mergeSort(right); // fix
return merge(left, right); // fix
}
public static int[] merge(int[] left, int[] right) { // fix
int mergedNumbers [] = new int[left.length+right.length]; // fix
int mergePos = 0; // fix
int leftPos = 0; // fix
int rightPos = 0; // fix
while (leftPos < left.length && rightPos < right.length) { // fix
if (left[leftPos] < right[rightPos]) {
mergedNumbers[mergePos] = left[leftPos];
leftPos++;
} else {
mergedNumbers[mergePos] = right[rightPos];
rightPos++;
}
mergePos++;
}
while (leftPos < left.length) { // fix
mergedNumbers[mergePos] = left[leftPos];
leftPos++;
mergePos++;
}
while (rightPos < right.length) { // fix
mergedNumbers[mergePos] = right[rightPos];
rightPos++;
mergePos++;
}
return mergedNumbers; // fix
}
public static int[] firstHalf(int[] data) {
int j = (data.length/2); // fix
int[] tempFirst = new int[j]; // fix
for(int i = 0; i < tempFirst.length; i++) // fix
tempFirst[i] = data[i];
return tempFirst;
}
public static int[] secondHalf(int[] data) {
int j = (data.length/2); // fix
int[] tempSecond = new int[data.length-j]; // fix
for(int i = 0; i < tempSecond.length; i++) // fix
tempSecond[i] = data[i+j]; // fix
return tempSecond;
}
Wiki文章对自上而下的合并排序具有某种优化的方法:
https://en.wikipedia.org/wiki/Merge_sort#Top-down_implementation