- PriorityQueue 是 Java 中的一个基于优先级堆的优先队列实现,它能够在 O(log n) 的时间复杂度内实现元素的插入和删除操作,并且能够自动维护队列中元素的优先级顺序。
// 传入比较器
PriorityQueue<String> priorityQueue = new PriorityQueue<>(Comparator.reverseOrder());
add()和 offer()
- 前者在插入失败时抛出异常,后则则会返回
false
public boolean add(E e) {
return offer(e);
}
public boolean offer(E e) {
// 不允许放入null元素
if (e == null)
throw new NullPointerException();
modCount++;
int i = size;
if (i >= queue.length)
// 扩容
grow(i + 1);
size = i + 1;
if (i == 0)
// 插入的是第一个元素
queue[0] = e;
else
// 调整
siftUp(i, e);
return true;
}
// 向上调整
private void siftUp(int k, E x) {
if (comparator != null)
siftUpUsingComparator(k, x);
else
siftUpComparable(k, x);
}
private void siftUpUsingComparator(int k, E x) {
while (k > 0) {
int parent = (k - 1) >>> 1;
Object e = queue[parent];
if (comparator.compare(x, (E) e) >= 0)
break;
queue[k] = e;
k = parent;
}
queue[k] = x;
}
private void siftUpComparable(int k, E x) {
Comparable<? super E> key = (Comparable<? super E>) x;
while (k > 0) {
int parent = (k - 1) >>> 1;
Object e = queue[parent];
if (key.compareTo((E) e) >= 0)
break;
queue[k] = e;
k = parent;
}
queue[k] = key;
}
- 新加入的元素都是先插入到堆的末尾,也就是堆的最右下角,然后开始向上调整到合适的位置
element()和 peek()
- 都是获取但不删除队首元素,前者当方法失败时前者抛出异常,后者返回
null
public E peek() {
return (size == 0) ? null : (E) queue[0];
}
// PriorityQueue调用的是父类AbstractQueue中的element()
public E element() {
E x = peek();
if (x != null)
return x;
else
throw new NoSuchElementException();
}
remove()和 poll()
- 获取并删除队首元素,区别是当方法失败时前者抛出异常,后者返回
null
public E poll() {
if (size == 0)
return null;
int s = --size;
modCount++;
E result = (E) queue[0];
E x = (E) queue[s];
queue[s] = null;
if (s != 0)
siftDown(0, x);
return result;
}
private void siftDown(int k, E x) {
if (comparator != null)
siftDownUsingComparator(k, x);
else
siftDownComparable(k, x);
}
@SuppressWarnings("unchecked")
private void siftDownComparable(int k, E x) {
Comparable<? super E> key = (Comparable<? super E>)x;
int half = size >>> 1; // loop while a non-leaf
while (k < half) {
int child = (k << 1) + 1; // assume left child is least
Object c = queue[child];
int right = child + 1;
if (right < size &&
((Comparable<? super E>) c).compareTo((E) queue[right]) > 0)
c = queue[child = right];
if (key.compareTo((E) c) <= 0)
break;
queue[k] = c;
k = child;
}
queue[k] = key;
}
@SuppressWarnings("unchecked")
private void siftDownUsingComparator(int k, E x) {
int half = size >>> 1;
while (k < half) {
// 左孩子下标
int child = (k << 1) + 1;
Object c = queue[child];
// 右孩子下标
int right = child + 1;
if (right < size &&
comparator.compare((E) c, (E) queue[right]) > 0)
c = queue[child = right];
if (comparator.compare(x, (E) c) <= 0)
break;
queue[k] = c;
k = child;
}
queue[k] = x;
}
- 删除堆顶元素,用堆中最后一个元素顶替堆顶,然后把新的堆顶与左右孩子比较,向下调整
remove(Object o)
public boolean remove(Object o) {
int i = indexOf(o);
if (i == -1)
return false;
else {
removeAt(i);
return true;
}
}
private int indexOf(Object o) {
if (o != null) {
for (int i = 0; i < size; i++)
if (o.equals(queue[i]))
return i;
}
return -1;
}
private E removeAt(int i) {
// assert i >= 0 && i < size;
modCount++;
int s = --size;
if (s == i) // removed last element
queue[i] = null;
else {
E moved = (E) queue[s];
queue[s] = null;
siftDown(i, moved);
if (queue[i] == moved) {
siftUp(i, moved);
if (queue[i] != moved)
return moved;
}
}
return null;
}
标签:queue,return,int,private,PriorityQueue,null,size
From: https://www.cnblogs.com/sprinining/p/18300967