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Fine-tune code and texts.
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4 changed files with 7 additions and 11 deletions
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@ -115,9 +115,9 @@ int main() {
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int i = 1;
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int l = abt.left(i), r = abt.right(i), p = abt.parent(i);
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cout << "\n当前节点的索引为 " << i << ",值为 " << abt.val(i) << "\n";
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cout << "其左子节点的索引为 " << l << ",值为 " << (l != INT_MAX ? to_string(abt.val(l)) : "None") << "\n";
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cout << "其右子节点的索引为 " << r << ",值为 " << (r != INT_MAX ? to_string(abt.val(r)) : "None") << "\n";
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cout << "其父节点的索引为 " << p << ",值为 " << (p != INT_MAX ? to_string(abt.val(p)) : "None") << "\n";
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cout << "其左子节点的索引为 " << l << ",值为 " << (l != INT_MAX ? to_string(abt.val(l)) : "nullptr") << "\n";
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cout << "其右子节点的索引为 " << r << ",值为 " << (r != INT_MAX ? to_string(abt.val(r)) : "nullptr") << "\n";
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cout << "其父节点的索引为 " << p << ",值为 " << (p != INT_MAX ? to_string(abt.val(p)) : "nullptr") << "\n";
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// 遍历树
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vector<int> res = abt.levelOrder();
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@ -74,12 +74,11 @@ vector<int> treeToVecor(TreeNode *root) {
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return res;
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}
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/* Free the memory allocated to a tree */
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/* 释放二叉树内存 */
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void freeMemoryTree(TreeNode *root) {
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if (root == nullptr)
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return;
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freeMemoryTree(root->left);
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freeMemoryTree(root->right);
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// 释放内存
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delete root;
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}
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@ -92,9 +92,9 @@ if __name__ == "__main__":
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arr = [1, 2, 3, 4, None, 6, 7, 8, 9, None, None, 12, None, None, 15]
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root = list_to_tree(arr)
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print("\n初始化二叉树\n")
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print(f"二叉树的数组表示:")
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print("二叉树的数组表示:")
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print(arr)
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print(f"二叉树的链表表示:")
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print("二叉树的链表表示:")
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print_tree(root)
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# 数组表示下的二叉树类
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@ -55,10 +55,7 @@
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[file]{merge_sort}-[class]{}-[func]{merge_sort}
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```
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实现合并函数 `merge()` 存在以下难点。
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- **需要特别注意各个变量的含义**。`nums` 的待合并区间为 `[left, right]` ,但由于 `tmp` 仅复制了 `nums` 该区间的元素,因此 `tmp` 对应区间为 `[0, right - left]` 。
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- 在比较 `tmp[i]` 和 `tmp[j]` 的大小时,**还需考虑子数组遍历完成后的索引越界问题**,即 `i > leftEnd` 和 `j > rightEnd` 的情况。索引越界的优先级是最高的,如果左子数组已经被合并完了,那么不需要继续比较,直接合并右子数组元素即可。
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值得注意的是,`nums` 的待合并区间为 `[left, right]` ,而 `tmp` 的对应区间为 `[0, right - left]` 。
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## 算法特性
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