Shi*_* Xu 6 binary-tree data-structures
如果输入是数组,则null表示没有节点。
输入:
[1, 2, 3, null, 5, null, 7]
请假设我已经检查了输入。
对于每个array[i],其父项array[i / 2]不会是null(递归地,所以 root 不能是null)。
如何构建具有这种逻辑关系的树:
1
/ \
2 3
\ \
5 7
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每个节点都应该由一个TreeNode对象表示:
class TreeNode {
public:
int val;
TreeNode *left;
TreeNode *right;
TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
};
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但是如果树如上所述不完整,如何整齐有效地完成它?
测试数据:
[输入数组]
[-64,12,18,-4,-53,null,76,null,-51,null,null,-93,3,null,-31,47,null,3,53,-81,33,4,null,-51,-44,-60,11,null,null,null,null,78,null,-35,-64,26,-81,-31,27,60,74,null,null,8,-38,47,12,-24,null,-59,-49,-11,-51,67,null,null,null,null,null,null,null,-67,null,-37,-19,10,-55,72,null,null,null,-70,17,-4,null,null,null,null,null,null,null,3,80,44,-88,-91,null,48,-90,-30,null,null,90,-34,37,null,null,73,-38,-31,-85,-31,-96,null,null,-18,67,34,72,null,-17,-77,null,56,-65,-88,-53,null,null,null,-33,86,null,81,-42,null,null,98,-40,70,-26,24,null,null,null,null,92,72,-27,null,null,null,null,null,null,-67,null,null,null,null,null,null,null,-54,-66,-36,null,-72,null,null,43,null,null,null,-92,-1,-98,null,null,null,null,null,null,null,39,-84,null,null,null,null,null,null,null,null,null,null,null,null,null,-93,null,null,null,98]
小智 14
我认为这个例子可以解释你的想法。
array : [5,4,8,11,null,17,4,7,null,null,null,5]
Tree :
5
/ \
4 8
/ / \
11 17 4
/ /
7 5
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以上所有答案都将输入数组视为一棵完整的树。所以 left.child=2 idx+1 , right.child = 2 idx+2 但实际上是错误的。因为那些
array : [5,4,8,11,null,17,4,7,null,null,null,5]
Tree :
5
/ \
4 8
/ / \
11 17 4
/ /
7 5
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是不同的
这是我的解决方案
[5,4,8,11,null,17,4,7,null,null,null,5]
[5,4,8,11,null,17,4,7,null,null,null,null,null,5,null]
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将二叉树实现为数组时,有助于清楚地了解两种表示如何相互反映,并查看强调关系的数学结构。
如果我们考虑 0 索引数组,数学关系可以这样分解,
对于i:th节点(i是数组索引),我们有(验证)
2i + 12(i + 1)floor((i-1)/2)所以,对于二叉树
如果我们让-表示null, 表示为
[0:a, 1:b, 2:c, 3:d, 4:e, 5:-, 6:-, 7:-, 8:-, 9:g, 10:-, 11:-, 12:-, 13:-, 14:-]
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所以现在要从数组创建 OO 表示,您只需应用这些索引规则。所以,既然你知道根节点是a那么我们得到它的孩子:
2*0 + 1 = 1 => b2*(0 + 1) = 2 => cfor (int idx = 0; 2*(idx + 1) < len(arr); idx++) {
if (arr[idx] == null) {
// There is no node to add for this index
continue;
}
TreeNode t = null;
if (idx == 0) {
// Root node case
t = TreeNode(val: arr[idx]);
binary_tree.add(id: idx, node: t);
}
// We do not know if these exist yet
int left_idx = 2*idx + 1;
int right_idx = 2*(idx + 1);
if (left_idx >= len(arr)) {
// left_idx is out of bounds with respect to the array,
// and by extension so would the right node be
continue;
}
TreeNode left = null;
TreeNode right = null;
if (arr[left_idx] != null) {
// This node has never been encountered before
// and it is non-null so it must be created.
//
// Since we know we have a root node then there is
// no need to check if the tree already contains this
// node, it simply is not possible. Ditto for the right
// node.
left = TreeNode(val: arr[left_idx]);
binary_tree.add(id: left_idx, node: left);
}
if (right_idx >= len(arr)) {
// There cannot be a right child
continue;
}
if (arr[right_idx] != null) {
// This node has never been encountered before
// and it is non-null so it must be created.
right = TreeNode(val: arr[right_idx]);
binary_tree.add(id: right_idx, right);
}
// It does not matter if left or right is null
t.set_left(left)
t.set_right(right)
}
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