2018-01-22 TWO SUM
2018-01-22 本文已影响9人
BlackChen
Given an array of integers, return indices of the two numbers such that they add up to a specific target.
You may assume that each input would have exactly one solution, and you may not use the same element twice.
Example:
Given nums = [2, 7, 11, 15], target = 9,
Because nums[0] + nums[1] = 2 + 7 = 9,
return [0, 1].
int *twoSum(int *nums, int numsSize, int target) {
int *p = (int *) malloc(sizeof(int) * 2);
for (int i = 0; i < numsSize; i++) {
for (int j = i + 1; j < numsSize; j++) {
if ((nums[i] + nums[j]) == target) {
p[0] = i;
p[1] = j;
return p;
}
}
}
return p;
}
int *twoSum2(int *nums, int numsSize, int target) {
if(nums == NULL){
return NULL;
}
if(numsSize < 2){
return NULL;
}
int min = nums[0];
int i = 0;
for (i = 1; i < numsSize; i++) {
if (nums[i] < min)
min = nums[i];
}
int max = target - min;
int len = max - min + 1;
int *table = (int *) malloc(len * sizeof(int));
int *indice = (int *) malloc(2 * sizeof(int));
for (i = 0; i < len; i++) {
table[i] = -1; //hash初值
}
for (i = 0; i < numsSize; i++) {
if (nums[i] - min < len) {
if (table[target - nums[i] - min] != -1) { //满足相加为target
indice[0] = table[target - nums[i] - min];
indice[1] = i;
return indice;
}
table[nums[i] - min] = i;
}
}
free(table);
return indice;
}
解读:
- 第一个方法就是顺位匹配,两次循环,复杂度是O(n²);
- 第二个方法是用匹配的方式,先计算出数组中最小的值,最大的值就是target-min;
然后创建一个数组table,长度是max - min +1,使得 min对应数组的0位置,max对应数组的len-1位置.并初始化数组table
len
|----------------------|
min max
然后遍历循环nums,如果nums[ i ]位于 min --- max 之间,然后判断他对应的位置target - nums[i]-min是否有数存在,存在,则找到,否则,把table对应的位置记上标记,继续循环.
这个就是一边找,一边匹配,只是这个会耗费很大的内存~~~~.
还有一种方法,是使用哈希表,key为值,value为index,思路和上面的方法一致.利用哈希表找key的复杂度是O(1) 特性.