main方法的开头,我先构造了一棵树,depth1()跟depth2()都是用了递归,depth3()借助了用queue实现的广度优先算法:
public class Depth {
private static int maxDepth = 0;
private static List depthAll = new ArrayList<>();
public static void main(String[] args){
BinaryTreeNode one = new BinaryTreeNode(10);
BinaryTreeNode left = new BinaryTreeNode(5);
left.setRight(new BinaryTreeNode(6));
left.getRight().setRight(new BinaryTreeNode(8));
one.setLeft(left);
BinaryTreeNode right = new BinaryTreeNode(15);
right.setLeft(new BinaryTreeNode(12));
right.setRight(new BinaryTreeNode(18));
one.setRight(right);
depth1(one);
int max = 0;
for(int i = 0; i < depthAll.size(); i++){
if(depthAll.get(i) > max){
max = depthAll.get(i);
}
}
System.out.println("depth1 result :" + max);
System.out.println("depth2 result :" + depth2(one));
System.out.println("depth3 result :" + depth3(one));
}
private static void depth1(BinaryTreeNode node){
if(node == null){
return;
}
maxDepth++;
if(node.getLeft() != null || node.getRight() != null){
depth1(node.getLeft());
depth1(node.getRight());
}else{
System.out.println("leaf value: " + node.getValue());
depthAll.add(maxDepth);
maxDepth = 0;
}
return;
}
private static int depth2(BinaryTreeNode node){
if(node == null){
return 0;
}
return 1 + Math.max(depth2(node.getLeft()), depth2(node.getRight()));
}
private static int depth3(BinaryTreeNode node){
Queue queue = new linkedList<>();
queue.offer(node);
BinaryTreeNode current;
int level = 0;
while(queue != null && queue.size() > 0){
level++;
int cur = 0;
int last = queue.size();
while(cur < last){
current = queue.poll();
if(current.getLeft() != null){
queue.offer(current.getLeft());
}
if(current.getRight() != null){
queue.offer(current.getRight());
}
cur++;
}
}
return level;
}
}
输出:
depth1 result :4 depth2 result :4 depth3 result :4



