所以有人发布了他们的解决方案,但我发现它似乎没有工作,我发布了这个,但我想让它更容易被其他人访问。迭代解决方案寻找树是否平衡
的问题是,在“破解代码访谈”,这是第一棵树的问题,可随时进行其他建议(或证明我错了!)
所以有人发布了他们的解决方案,但我发现它似乎没有工作,我发布了这个,但我想让它更容易被其他人访问。迭代解决方案寻找树是否平衡
的问题是,在“破解代码访谈”,这是第一棵树的问题,可随时进行其他建议(或证明我错了!)
这里的关键是,它是很难跟踪最终的路径和他们的高度与一个堆栈。
我最终做的是推动左右儿童的身高,检查他们是否在彼此之间,增加一个到最大值,然后弹出左侧和右侧后推入堆栈关闭。
我评论,所以我希望这是不够
/* Returns true if binary tree with root as root is height-balanced */
boolean isBalanced(Node root) {
if(root == null) return false;
Deque<Integer> heights = new LinkedList<>();
Deque<Node> trail = new LinkedList<>();
trail.push(root);
Node prev = root; //set to root not null to not confuse when root is misisng children
while(!trail.isEmpty()) {
Node curr = trail.peek(); //get the next node to process, peek because we need to maintain trail until we return
//if we just returned from left child
if (curr.left == prev) {
if(curr.right != null) trail.push(curr.right); //if we can go right go
else {
heights.push(-1); //otherwise right height is -1 does not exist and combine heights
if(!combineHeights(heights)) return false;
trail.pop(); //back to parent
}
}
//if we just returned from right child
else if (curr.right == prev) {
if(!combineHeights(heights)) return false;
trail.pop(); //up to parent
}
//this came from a parent, first thing is to visit the left child, or right if no left
else {
if(curr.left != null) trail.push(curr.left);
else {
if (curr.right != null) {
heights.push(-1); //no left so when we combine this node left is 0
trail.push(curr.right); //since we never go left above logic does not go right, so we must here
}
else { //no children set height to 1
heights.push(0);
trail.pop(); //back to parent
}
}
}
prev = curr;
}
return true;
}
//pop both previous heights and make sure they are balanced, if not return false, if so return true and push the greater plus 1
private boolean combineHeights(Deque<Integer> heights) {
int rightHeight = heights.pop();
int leftHeight = heights.pop();
if(Math.abs(leftHeight - rightHeight) > 1) return false;
else heights.push(Math.max(leftHeight, rightHeight) + 1);
return true;
}
书中的原题清楚没有提及树是二进制文件。我碰巧解决了同样的问题,但用Python编码。所以,这里是我的问题的迭代解决方案,在python中,一般树(节点的子节点存储在列表中)。
def is_balanced_nonrecursive(self):
stack = [self.root]
levels = [0]
current_min = sys.maxint
current_max = 0
current_level = 0
while len(stack) > 0:
n = stack.pop()
current_level = levels.pop()
for c in n.children:
stack.append(c)
levels.append(current_level + 1)
if len(n.children) == 0:
if current_level < current_min:
current_min = current_level
if current_level > current_max:
current_max = current_level
return current_max - current_min < 2
这基本上是树的深度优先遍历。我们为各个级别保留一个单独的堆栈(列表levels
)。如果我们看到任何叶节点,我们会相应地更新当前最小和当前最大值。该算法遍历整个树,最后如果最大和最小电平差异超过一个,那么该树不平衡。
可能有很多优化,例如检查循环内最小值和最大值的差值是否大于1,以及是否立即返回False
。