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krahets
2024-04-09 20:43:40 +08:00
parent d8caf02e9e
commit a6adc8e20a
48 changed files with 1599 additions and 571 deletions
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33
en/docs/chapter_tree/binary_tree_traversal.md
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@ -229,7 +229,7 @@ Breadth-first traversal is usually implemented with the help of a "queue". The q
fn level_order(root: &Rc<RefCell<TreeNode>>) -> Vec<i32> {
// 初始化队列，加入根节点
let mut que = VecDeque::new();
que.push_back(Rc::clone(&root));
que.push_back(root.clone());
// 初始化一个列表，用于保存遍历序列
let mut vec = Vec::new();
@ -237,10 +237,10 @@ Breadth-first traversal is usually implemented with the help of a "queue". The q
// 队列出队
vec.push(node.borrow().val); // 保存节点值
if let Some(left) = node.borrow().left.as_ref() {
que.push_back(Rc::clone(left)); // 左子节点入队
que.push_back(left.clone()); // 左子节点入队
}
if let Some(right) = node.borrow().right.as_ref() {
que.push_back(Rc::clone(right)); // 右子节点入队
que.push_back(right.clone()); // 右子节点入队
};
}
vec
@ -302,13 +302,14 @@ Breadth-first traversal is usually implemented with the help of a "queue". The q
val queue = LinkedList<TreeNode?>()
queue.add(root)
// 初始化一个列表，用于保存遍历序列
val list = ArrayList<Int>()
while (!queue.isEmpty()) {
val node = queue.poll() // 队列出队
list.add(node?.value!!) // 保存节点值
if (node.left != null) queue.offer(node.left) // 左子节点入队
if (node.right != null) queue.offer(node.right) // 右子节点入队
val list = mutableListOf<Int>()
while (queue.isNotEmpty()) {
val node = queue.poll() // 队列出队
list.add(node?.value!!) // 保存节点值
if (node.left != null)
queue.offer(node.left) // 左子节点入队
if (node.right != null)
queue.offer(node.right) // 右子节点入队
}
return list
}
@ -689,8 +690,8 @@ Depth-first search is usually implemented based on recursion:
if let Some(node) = root {
// 访问优先级：根节点 -> 左子树 -> 右子树
result.push(node.borrow().val);
result.append(&mut pre_order(node.borrow().left.as_ref()));
result.append(&mut pre_order(node.borrow().right.as_ref()));
result.extend(pre_order(node.borrow().left.as_ref()));
result.extend(pre_order(node.borrow().right.as_ref()));
}
result
}
@ -701,9 +702,9 @@ Depth-first search is usually implemented based on recursion:
if let Some(node) = root {
// 访问优先级：左子树 -> 根节点 -> 右子树
result.append(&mut in_order(node.borrow().left.as_ref()));
result.extend(in_order(node.borrow().left.as_ref()));
result.push(node.borrow().val);
result.append(&mut in_order(node.borrow().right.as_ref()));
result.extend(in_order(node.borrow().right.as_ref()));
}
result
}
@ -714,8 +715,8 @@ Depth-first search is usually implemented based on recursion:
if let Some(node) = root {
// 访问优先级：左子树 -> 右子树 -> 根节点
result.append(&mut post_order(node.borrow().left.as_ref()));
result.append(&mut post_order(node.borrow().right.as_ref()));
result.extend(post_order(node.borrow().left.as_ref()));
result.extend(post_order(node.borrow().right.as_ref()));
result.push(node.borrow().val);
}
result