【LeetCode】1 Two Sum
2015-07-02 14:21
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HashMap
O(n2) runtime, O(1) space – Brute force:
The brute force approach is simple. Loop through each element x and find if there is another value that equals to target – x. As finding another value requires looping through the rest of array, its runtime complexity is O(n2).
O(n) runtime, O(n) space – Hash table:
We could reduce the runtime complexity of looking up a value to O(1) using a hash map that maps a value to its index.
/** * Given an array of integers, find two numbers such that they add up to a * specific target number. * <p> * The function twoSum should return indices of the two numbers such that they * add up to the target, where index1 must be less than index2. Please note * that your returned answers (both index1 and index2) are not zero-based. * <p> * You may assume that each input would have exactly one solution. * <p> * Input: numbers={2, 7, 11, 15}, target=9 Output: index1=1, index2=2 */ public class Solution { public int[] twoSum(int[] nums, int target) { int [] index = new int [2]; Map<Integer,Integer> map = new HashMap<Integer,Integer>(); for(int i=0;i<nums.length;i++) { if(map.containsKey(nums[i])) { index[0] = map.get(nums[i])+1; index[1] = i+1; return index; } else { map.put(target-nums[i], i); } } return index; } }
O(n2) runtime, O(1) space – Brute force:
The brute force approach is simple. Loop through each element x and find if there is another value that equals to target – x. As finding another value requires looping through the rest of array, its runtime complexity is O(n2).
O(n) runtime, O(n) space – Hash table:
We could reduce the runtime complexity of looking up a value to O(1) using a hash map that maps a value to its index.
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