스택 및 대기열
TC: O(N)class Solution {
    public boolean isValid(String s) {
        Stack<Character> stack = new Stack<>();
        char ch [] = s.toCharArray();
        for(char i : ch){
            if(stack.size()==0) {
                stack.push(i);
                System.out.println("push happened "+stack.peek());
            }
            else if(stack.peek()=='(' && i==')' || stack.peek()=='{' && 
              i=='}' || stack.peek()=='[' && i ==']') {
                System.out.println("here");
                stack.pop();
            }
            else stack.push(i);
        }
        if(stack.size()==0) return true;
        else return false;
    }
}
Next greater element than stack top
TC: in worst case O(n^2), as we will iterate over nums2, and if all the elements are in descending order except the last element in nums2 (example: 7,6,5,4,3,8), then at last index we will go to else part and while loop that will run for n-1 times hence TC will be n*(n-1)class Solution {
    public int[] nextGreaterElement(int[] nums1, int[] nums2) {
        HashMap<Integer,Integer> map = new HashMap<>();
        Stack<Integer> stack = new Stack<>();
        //we will get next greater element of all the element in the nums2,
        // by that we will easily be able to get the next greater element of all the 
        //elements in nums1;
        for(int i = 0;i<nums2.length;i++){
            if(stack.isEmpty() || stack.peek() > nums2[i]){
                stack.push(nums2[i]);
            }
            else{
                // below while condition means that we have found
                // greater value than stack top, now we will have to keep on removing 
                //stack top to make sure that we have got next greater value of stack top
                while(!stack.isEmpty() && nums2[i] > stack.peek()){
                    map.put(stack.pop(),nums2[i]);
                }
                stack.push(nums2[i]);
            }
        }
        //now we have got the next greater value of all the elements in the nums2
        //we can easily get the next greater value of nums1
        int result[] = new int[nums1.length];
        for(int i =0;i<result.length;i++){
            result[i]= map.getOrDefault(nums1[i],-1);// if next greater does not return then default value will be -1
        }
        return result;
    }
}
Implement stack using single queue (design quetion)
You can easily guess the TC:// we can easily do it with two queue,
// we will do it with one queue
class MyStack {
    Queue<Integer> q ;
    public MyStack() {
        q  = new LinkedList<>();
    }
    public void push(int x) {
        q.add(x);
        if(q.size()>1){
            int size = q.size();
            int index =0;
            while(index!=size-1){//just re-push size-1 value again it will insure that the value 
                // that needs to be poped is at head;
                q.add(q.remove());
                index++;
            }
        }
    }
    public int pop() {
        return q.remove();
    }
    public int top() {
        return q.peek();
    }
    public boolean empty() {
        return q.isEmpty();
    }
}
/**
 * Your MyStack object will be instantiated and called as such:
 * MyStack obj = new MyStack();
 * obj.push(x);
 * int param_2 = obj.pop();
 * int param_3 = obj.top();
 * boolean param_4 = obj.empty();
 */
Sort stack in descending order
TC: o(N)
import java.util.*;
public class Solution {
    public static void sortStack(Stack<Integer> stack) {
        // Write your code here. 
        Stack<Integer> stack2 = new Stack<>();
        while(!stack.isEmpty()) {
            int top = stack.pop();
            while(!stack2.isEmpty() && stack2.peek() < top){
                stack.push(stack2.pop());
            }
            stack2.push(top);
        }
       while(!stack2.isEmpty()) stack.push(stack2.pop());
    }
}
Reference
이 문제에 관하여(스택 및 대기열), 우리는 이곳에서 더 많은 자료를 발견하고 링크를 클릭하여 보았다 https://dev.to/prashantrmishra/stack-and-queue-nde텍스트를 자유롭게 공유하거나 복사할 수 있습니다.하지만 이 문서의 URL은 참조 URL로 남겨 두십시오.
                                
                                
                                
                                
                                
                                우수한 개발자 콘텐츠 발견에 전념
                                (Collection and Share based on the CC Protocol.)