CS-Notes/docs/notes/Leetcode 题解 - 栈和队列.md

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[TOC]
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# 1. 用栈实现队列
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232\. Implement Queue using Stacks (Easy)
[Leetcode](https://leetcode.com/problems/implement-queue-using-stacks/description/) / [力扣](https://leetcode-cn.com/problems/implement-queue-using-stacks/description/)
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栈的顺序为后进先出而队列的顺序为先进先出使用两个栈实现队列一个元素需要经过两个栈才能出队列在经过第一个栈时元素顺序被反转经过第二个栈时再次被反转此时就是先进先出顺序
```java
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class MyQueue {
private Stack<Integer> in = new Stack<>();
private Stack<Integer> out = new Stack<>();
public void push(int x) {
in.push(x);
}
public int pop() {
in2out();
return out.pop();
}
public int peek() {
in2out();
return out.peek();
}
private void in2out() {
if (out.isEmpty()) {
while (!in.isEmpty()) {
out.push(in.pop());
}
}
}
public boolean empty() {
return in.isEmpty() && out.isEmpty();
}
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}
```
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# 2. 用队列实现栈
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225\. Implement Stack using Queues (Easy)
[Leetcode](https://leetcode.com/problems/implement-stack-using-queues/description/) / [力扣](https://leetcode-cn.com/problems/implement-stack-using-queues/description/)
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在将一个元素 x 插入队列时为了维护原来的后进先出顺序需要让 x 插入队列首部而队列的默认插入顺序是队列尾部因此在将 x 插入队列尾部之后需要让除了 x 之外的所有元素出队列再入队列
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```java
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class MyStack {
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private Queue<Integer> queue;
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public MyStack() {
queue = new LinkedList<>();
}
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public void push(int x) {
queue.add(x);
int cnt = queue.size();
while (cnt-- > 1) {
queue.add(queue.poll());
}
}
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public int pop() {
return queue.remove();
}
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public int top() {
return queue.peek();
}
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public boolean empty() {
return queue.isEmpty();
}
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}
```
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# 3. 最小值栈
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155\. Min Stack (Easy)
[Leetcode](https://leetcode.com/problems/min-stack/description/) / [力扣](https://leetcode-cn.com/problems/min-stack/description/)
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```java
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class MinStack {
private Stack<Integer> dataStack;
private Stack<Integer> minStack;
private int min;
public MinStack() {
dataStack = new Stack<>();
minStack = new Stack<>();
min = Integer.MAX_VALUE;
}
public void push(int x) {
dataStack.add(x);
min = Math.min(min, x);
minStack.add(min);
}
public void pop() {
dataStack.pop();
minStack.pop();
min = minStack.isEmpty() ? Integer.MAX_VALUE : minStack.peek();
}
public int top() {
return dataStack.peek();
}
public int getMin() {
return minStack.peek();
}
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}
```
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对于实现最小值队列问题可以先将队列使用栈来实现然后就将问题转换为最小值栈这个问题出现在 编程之美3.7
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# 4. 用栈实现括号匹配
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20\. Valid Parentheses (Easy)
[Leetcode](https://leetcode.com/problems/valid-parentheses/description/) / [力扣](https://leetcode-cn.com/problems/valid-parentheses/description/)
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```html
"()[]{}"
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Output : true
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```
```java
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public boolean isValid(String s) {
Stack<Character> stack = new Stack<>();
for (char c : s.toCharArray()) {
if (c == '(' || c == '{' || c == '[') {
stack.push(c);
} else {
if (stack.isEmpty()) {
return false;
}
char cStack = stack.pop();
boolean b1 = c == ')' && cStack != '(';
boolean b2 = c == ']' && cStack != '[';
boolean b3 = c == '}' && cStack != '{';
if (b1 || b2 || b3) {
return false;
}
}
}
return stack.isEmpty();
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}
```
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# 5. 数组中元素与下一个比它大的元素之间的距离
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739\. Daily Temperatures (Medium)
[Leetcode](https://leetcode.com/problems/daily-temperatures/description/) / [力扣](https://leetcode-cn.com/problems/daily-temperatures/description/)
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```html
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Input: [73, 74, 75, 71, 69, 72, 76, 73]
Output: [1, 1, 4, 2, 1, 1, 0, 0]
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```
在遍历数组时用栈把数组中的数存起来如果当前遍历的数比栈顶元素来的大说明栈顶元素的下一个比它大的数就是当前元素
```java
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public int[] dailyTemperatures(int[] temperatures) {
int n = temperatures.length;
int[] dist = new int[n];
Stack<Integer> indexs = new Stack<>();
for (int curIndex = 0; curIndex < n; curIndex++) {
while (!indexs.isEmpty() && temperatures[curIndex] > temperatures[indexs.peek()]) {
int preIndex = indexs.pop();
dist[preIndex] = curIndex - preIndex;
}
indexs.add(curIndex);
}
return dist;
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}
```
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# 6. 循环数组中比当前元素大的下一个元素
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503\. Next Greater Element II (Medium)
[Leetcode](https://leetcode.com/problems/next-greater-element-ii/description/) / [力扣](https://leetcode-cn.com/problems/next-greater-element-ii/description/)
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```text
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Input: [1,2,1]
Output: [2,-1,2]
Explanation: The first 1's next greater number is 2;
The number 2 can't find next greater number;
The second 1's next greater number needs to search circularly, which is also 2.
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```
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739. Daily Temperatures (Medium) 不同的是数组是循环数组并且最后要求的不是距离而是下一个元素
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```java
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public int[] nextGreaterElements(int[] nums) {
int n = nums.length;
int[] next = new int[n];
Arrays.fill(next, -1);
Stack<Integer> pre = new Stack<>();
for (int i = 0; i < n * 2; i++) {
int num = nums[i % n];
while (!pre.isEmpty() && nums[pre.peek()] < num) {
next[pre.pop()] = num;
}
if (i < n){
pre.push(i);
}
}
return next;
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}
```