2019-09-27 leetcode

1.有效的括号(20题)
这题利用栈解决

这题最初我打算用hashmap试一下,发现不好实现,残不忍睹。
不过也有收获,就是hashmap是会造成空指针异常的。
还有就是在对数组操作的时候,很容易造成数组越界,一定要注意判断。
算了还是老老实实用栈实现了。

//(这段就不要看了,逻辑操作什么都出了问题)
    public boolean isValid(String s) {
        if(s.isEmpty()) return true;
        Map map = new HashMap<>();
        map.put('(', ')');
        map.put('[', ']');
        map.put('{', '}');
        map.put(')', ')');
        map.put('}', ']');
        map.put(']', '}');
        char[] chars = new char[s.length()];
        for (int i = 0; i < chars.length; i++) {
            chars[i] = '0';
        }
        //System.out.println(chars.length);
        chars[0] = s.charAt(0);
        for (int i = 1; i < s.length(); i++) {
            if(s.charAt(i) == map.get(chars[i - 1])) {
                chars[i] = '0';
                chars[i - 1] = '0';
                if(i + 1 < s.length()){
                    chars[i + 1] = s.charAt(i + 1);
                    i++;
                }
            }else{
                chars[i] = s.charAt(i);
            }
        }
        for (int i = 0; i < s.length(); i++) {
            while(chars[i] != '0') return false;
        }
        return true;
    }
//这里利用了栈+HashMap
    public boolean isValid(String s) {
        Map map = new HashMap<>();
        map.put('(', ')');
        map.put('[', ']');
        map.put('{', '}');
        Stack stack = new Stack<>();
        for (int i = 0; i < s.length(); i++) {
            if(map.containsValue(s.charAt(i))){
                if(stack.empty()) return false;
                char c = stack.pop();
                if(map.get(c) == s.charAt(i)){

                }else{
                    return false;
                }
            }else{
                stack.push(s.charAt(i));
            }
        }
        if(stack.empty())
        return true;
        else return false;
    }
//官方
class Solution {

  // Hash table that takes care of the mappings.
  private HashMap mappings;

  // Initialize hash map with mappings. This simply makes the code easier to read.
  public Solution() {
    this.mappings = new HashMap();
    this.mappings.put(')', '(');
    this.mappings.put('}', '{');
    this.mappings.put(']', '[');
  }

  public boolean isValid(String s) {

    // Initialize a stack to be used in the algorithm.
    Stack stack = new Stack();

    for (int i = 0; i < s.length(); i++) {
      char c = s.charAt(i);

      // If the current character is a closing bracket.
      if (this.mappings.containsKey(c)) {

        // Get the top element of the stack. If the stack is empty, set a dummy value of '#'
        char topElement = stack.empty() ? '#' : stack.pop();

        // If the mapping for this bracket doesn't match the stack's top element, return false.
        if (topElement != this.mappings.get(c)) {
          return false;
        }
      } else {
        // If it was an opening bracket, push to the stack.
        stack.push(c);
      }
    }

    // If the stack still contains elements, then it is an invalid expression.
    return stack.isEmpty();
  }
}
//作者:LeetCode

2.合并两个有序链表
首先对链表的操作很陌生
其次不太理解

/**
 * Definition for singly-linked list.
 * public class ListNode {
 *     int val;
 *     ListNode next;
 *     ListNode(int x) { val = x; }
 * }
 */
class Solution {
    public ListNode mergeTwoLists(ListNode l1, ListNode l2) {
        
    }
}

通过学习官方给出的解析做出解答,不过还是有考虑不充分的情况
就是当某一个单链表为空的时候,还需要拼接,这时候一个if判断是不充分的,需要if else配合使用

/**
 * Definition for singly-linked list.
 * public class ListNode {
 *     int val;
 *     ListNode next;
 *     ListNode(int x) { val = x; }
 * }
 */
class Solution {
    public ListNode mergeTwoLists(ListNode l1, ListNode l2) {
        ListNode prehead = new ListNode(-1);
        ListNode prev = prehead;
        if(l1 == null) return l2;
        if(l2 == null) return l1;
        while(l1 != null && l2 != null){
            if(l1.val > l2.val){
                prev.next = l2;
                l2 = l2.next;
            }else{
                prev.next = l1;
                l1 = l1.next;
            }
            prev = prev.next;
        }
        if(l1 == null){
            prev.next = l2;
            return prehead.next;
        }   
        else{
            prev.next = l1;
            return prehead.next;
        }
    }    
}

下面是递归解法,递归解法看起来很简洁,不过不好想啊

//递归解法
class Solution {
    public ListNode mergeTwoLists(ListNode l1, ListNode l2) {
        if (l1 == null) {
            return l2;
        }
        else if (l2 == null) {
            return l1;
        }
        else if (l1.val < l2.val) {
            l1.next = mergeTwoLists(l1.next, l2);
            return l1;
        }
        else {
            l2.next = mergeTwoLists(l1, l2.next);
            return l2;
        }
    }
}
作者:LeetCode

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