Leetcode 560. Subarray Sum equals K (the sum of the sub-arrays equals K)

Given an array of integers and a integer k, you need to find the total number of continuous subarrays whose sum equals to K.

Example 1:

Input:nums = [1,1,1], k = 2output:2

Note:

1. The length of the array is in range [1, 20,000].
2. The range of numbers in the array is [ -1000, +] and the range of the integer k is [ -1e7, 1e7].

Title Tags: Array, Map

The topic gives us a nums array and a K, to find out how many of the sub-arrays are equal to K.

The first thought was the brute force solution, though it was able to pass, but N*n was always too slow.

This problem can be used HashMap, the occurrence of sum as a key deposit, the sum of the number of occurrences as value deposit.

Traverse nums array, always update sum, and then go to map to find there is no sum-k, some words that sum-k is an old sum, before appeared. In other words, the new sum-the old sum = K-Indicates the new sum minus the old sum, the sum of the remaining section equals K, and finds a subarray of sum = k. The new sum is then deposited into the map.

The key to this problem is that when we know a sum (0,i) and sum (0,j), we know Sum (i+1, J).

So when we know all the old sums now, when we have a new sum, we can use the map to find out if the new sum-k are in the map. Once present, it shows that we found a sub-array of its and for K.

Note that the Count + here is the value in the map, not the count++, because when you find a sum-k old sum in the map, the old sum may have occurred 2 times, in other words, there may be two different lengths of sub-arrays, but their sum is equal to Sum-k (because there are negative numbers). So here is the number of occurrences of the old sum 2, because you have found two different sub-arrays whose sum is K.

Java Solution:

Runtime beats 67.25%

Completion Date: 10/03/2017

Keywords: Array, HashMap

Key points: All occurrences of sum are deposited map:sum as key, the number of occurrences is value; use Map to find K (new sum-k =? Any old sum)

1 classSolution2 {3      Public intSubarraysum (int[] Nums,intk)4     {5         intCount = 0;6         intsum = 0;7         8Map<integer, integer> map =NewHashmap<>();9Map.put (0, 1);//initial value sum = 0, occurrence = 1 for case sum = k, k-k = 0 countsTen          One          for(inti=0; i<nums.length; i++)//Iterate nums Array A         { -Sum + = Nums[i];//Update Sum -              the             if(Map.containskey (SUM-K))//If map has sum-k, meaning this new sum-old sum = k -Count + = Map.get (sum-k);//previous sum might appear more than once -                                            //This is why we need to add its value -Map.put (sum, map.getordefault (sum, 0) + 1);//save new sum into map +         } -          +         returncount; A     } at}

Resources:

Https://discuss.leetcode.com/topic/87850/java-solution-presum-hashmap

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Leetcode 560. Subarray Sum equals K (the sum of the sub-arrays equals K)