zoukankan      html  css  js  c++  java
  • 209. Minimum Size Subarray Sum

    https://leetcode.com/problems/minimum-size-subarray-sum/#/solutions

    Given an array of n positive integers and a positive integer s, find the minimal length of a contiguous subarray of which the sum ? s. If there isn't one, return 0 instead.
    
    For example, given the array [2,3,1,2,4,3] and s = 7,
    the subarray [4,3] has the minimal length under the problem constraint.
    
    click to show more practice.
    
    More practice:
    If you have figured out the O(n) solution, try coding another solution of which the time complexity is O(n log n).

     Since the given array contains only positive integers, the subarray sum can only increase by including more elements. Therefore, you don't have to include more elements once the current subarray already has a sum large enough. This gives the linear time complexity solution by maintaining a minimum window with a two indices.

    窗口指针

    public int minSubArrayLen(int s, int[] a) {
      if (a == null || a.length == 0)
        return 0;
      
      int i = 0, j = 0, sum = 0, min = Integer.MAX_VALUE;
      
      while (j < a.length) {
        sum += a[j++];
        
        while (sum >= s) {
           min = Math.min(min, j - i);
           sum -= a[i++]; } } return min == Integer.MAX_VALUE ? 0 : min; }

    O(NlogN) 

    private int solveNLogN(int s, int[] nums) {
            int[] sums = new int[nums.length + 1];
            for (int i = 1; i < sums.length; i++) sums[i] = sums[i - 1] + nums[i - 1];
            int minLen = Integer.MAX_VALUE;
            for (int i = 0; i < sums.length; i++) {
                int end = binarySearch(i + 1, sums.length - 1, sums[i] + s, sums);
                if (end == sums.length) break;
                if (end - i < minLen) minLen = end - i;
            }
            return minLen == Integer.MAX_VALUE ? 0 : minLen;
        }
        
        private int binarySearch(int lo, int hi, int key, int[] sums) {
            while (lo <= hi) {
               int mid = (lo + hi) / 2;
               if (sums[mid] >= key){
                   hi = mid - 1;
               } else {
                   lo = mid + 1;
               }
            }
            return lo;
        }
    

     为什么我这么做不对?

     public int minSubArrayLen(int s, int[] nums) {
            if (nums == null || nums.length == 0) {
                return 0;
            }
          int[] sums = new int[nums.length + 1];
            for (int i = 1; i < sums.length; i++) sums[i] = sums[i - 1] + nums[i - 1];
            int minLen = Integer.MAX_VALUE;
            for (int i = 0; i < sums.length; i++) {
                int end = Arrays.binarySearch(sums, i + 1, sums.length, sums[i] + s);
                if (end == sums.length) break;
                if (end < 0) {
                    end = -(end + 1);
                }
                if (end - i < minLen) minLen = end - i;
            }
            return minLen == Integer.MAX_VALUE ? 0 : minLen;
        }
    

      

    Input:7 [2,3,1,2,4,3]
    Output:1
    Expected:2

     

  • 相关阅读:
    深入浅出Mybatis系列(八)---objectFactory、plugins、mappers
    深入浅出Mybatis系列(七)---TypeHandler简介
    深入浅出Mybatis系列(六)---配置详解之typeAliases别名
    深入浅出Mybatis系列(四)---配置详解之properties与environments
    fastjson 的使用总结
    Java 中 Gson的使用
    Lombok介绍、使用方法和总结
    Jackson的使用和定制
    深入浅出Mybatis系列(三)---配置简介(mybatis源码篇)
    深入浅出Mybatis系列(二)---Mybatis入门
  • 原文地址:https://www.cnblogs.com/apanda009/p/7095780.html
Copyright © 2011-2022 走看看