1) Brute force: O(n^2)
2) Sort + extra array to store index info O(nlogn) + O(n) space
3) Hash, <k,v> = <Value, Index> O(n) + O(n) space
public class Solution {
/*
* @param numbers : An array of Integer
* @param target : target = numbers[index1] + numbers[index2]
* @return : [index1 + 1, index2 + 1] (index1 < index2)
*/
public int[] twoSum(int[] numbers, int target) {
// write your code here
int[] result = new int[2];
if (numbers == null || numbers.length == 0) {
return result;
}
HashMap<Integer, Integer> map = new HashMap<Integer, Integer>();
for (int i = 0; i < numbers.length; i++) {
map.put(numbers[i], i);
}
for (int i = 0; i < numbers.length; i++) {
if (map.containsKey(target - numbers[i])) {
result[0] = i + 1;
result[1] = map.get(target - numbers[i]) + 1;
return result;
}
}
return result;
}
}
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