一、對于Comparator的 public int compare(T lhs, T rhs) 通常用在排序中 @return an integer < 0 if {@code lhs} is less than {@code rhs}, 0 if they are equal, and > 0 if {@code lhs} is greater than {@code rhs}. 對于compare(a, b) 如果小于0,a<b 如果等于0,a=b 如果大于0,a>b
二、對于Comparable中的int compareTo(T another) Comparable一般用于某個容器類中,用于實作compareTo方法 @return a negative integer if this instance is less than {@code another}; a positive integer if this instance is greater than {@code another}; 0 if this instance has the same order as {@code another}. 對于a.compareTo(b) 如果小于0,a<b 如果等于0,a=b 如果大于0,a>b
三、關于排序中,Comparetor的使用的說明 Arrays.sort(strs, new Comparator<String>() { public int compare(String s1 ,String s2) { return s1.compareTo(s2); } }); 傳回值大于0的話,s1将排在s2的後面 s2 ....s1 傳回值小于0的話,s1将排在s2的前面 s1 ....s2 傳回值等于0的話,s1将排在s2的位置不變
四、例如下面的最大堆、最小堆問題
/**
* 資料流中的中位數
* 這題的實作方法有很多
* 未排序的數組(類似快排,根據下标找出中位數)、排好序的數組、排序連結清單、二叉搜尋樹、AVL樹
* 最小、最大堆是相對時間效率比較高且較容易實作的(java中可以用PriorityQueue來描述最小堆、最大堆)
* @param num
*/
PriorityQueue<Integer> maxHeap = new PriorityQueue<Integer>(100, new Comparator<Integer>() {
public int compare(Integer o1, Integer o2) {
return o2.compareTo(o1);
};
});
PriorityQueue<Integer> minHeap = new PriorityQueue<Integer>();
int insertCount = 0;
public void Insert(Integer num) {
insertCount++;
if (insertCount % 2 == 1) {
if (!maxHeap.isEmpty() && num < maxHeap.peek()) {
maxHeap.offer(num);
num = maxHeap.poll();
}
minHeap.offer(num);
} else {
if (!minHeap.isEmpty() && num > minHeap.peek()) {
minHeap.offer(num);
num = minHeap.poll();
}
maxHeap.offer(num);
}
}
public Double GetMedian()throws Exception {
if (minHeap.isEmpty()) {
throw new Exception("No numbers are available");
}
if (insertCount % 2 == 1) {
return Double.valueOf(minHeap.peek());
}else {
return Double.valueOf(minHeap.peek() + maxHeap.peek()) / 2;
}
}