Technology Sharing

01. Arrays (in progress...)

2024-07-12

한어Русский языкEnglishFrançaisIndonesianSanskrit日本語DeutschPortuguêsΕλληνικάespañolItalianoSuomalainenLatina

1. Prefixes and Techniques

(1) Prefix and

The prefix sum technique is useful for quickly and frequently computing the sum of elements in a range of indices.

  1. class NumArray {
  2. public:
  3. vector<int> preSum; //前缀和数组
  4. NumArray(vector<int>& nums) {
  5. //preSum[0] = 0,便于计算累加和
  6. preSum.resize(nums.size() + 1, 0);
  7. for(int i = 0; i < nums.size(); i++){
  8. preSum[i + 1] = preSum[i] + nums[i];
  9. }
  10. }
  11. int sumRange(int left, int right) {
  12. // 查询闭区间 [left, right] 的累加和
  13. return preSum[right + 1] - preSum[left];
  14. }
  15. };

(2) Prefix Sum + Hash Table

Prefix sum arrays help you quickly calculate the sum of elements in a subarray, but what if you are asked to find a subarray that meets the criteria?numsFind andtargetEven with the help of prefix sum array, you still need to write a nested for loop. But we can use a hash table to record the index corresponding to each prefix sum, so that we can quickly calculate the target sum.targetA subarray of

  1. class Solution {
  2. public:
  3. int findMaxLength(vector<int>& nums) {
  4. int len = 0;
  5. vector<int> preSum(nums.size() + 1, 0);
  6. for(int i = 0; i < nums.size(); i++)
  7. preSum[i+1] = preSum[i] + (nums[i] == 0 ? -1 : 1);
  8. // 前缀和到索引的映射,方便快速查找所需的前缀和
  9. unordered_map<int, int> umap;
  10. for(int i = 0; i < preSum.size(); i++){
  11. // 如果这个前缀和还没有对应的索引,说明这个前缀和第一次出现,记录下来
  12. if(umap.find(preSum[i]) == umap.end()) umap[preSum[i]] = i;
  13. else len = max(len, i - umap[preSum[i]]);
  14. }
  15. return len;
  16. }
  17. };

  1. class Solution {
  2. public:
  3. bool checkSubarraySum(vector<int>& nums, int k) {
  4. vector<int>preSum(nums.size() + 1, 0);
  5. for(int i = 0; i < nums.size(); i++)
  6. preSum[i + 1] = preSum[i] + nums[i];
  7. unordered_map<int, int> umap;
  8. // 寻找 i, j 使得 (preSum[i] - preSum[j]) % k == 0 且 i - j >= 2
  9. // (preSum[i] - preSum[j]) % k == 0 其实就是 preSum[i] % k == preSum[j] % k
  10. for(int i = 0; i < preSum.size(); i++){
  11. auto it = umap.find(preSum[i] % k);
  12. if(it == umap.end()) umap[preSum[i] % k] = i;
  13. else if ((i - it->second) >=2) return true;
  14. }
  15. return false;
  16. }
  17. };

  1. class Solution {
  2. public:
  3. int subarraySum(vector<int>& nums, int k) {
  4. int ans = 0;
  5. vector<int> preSum(nums.size() + 1, 0);
  6. for(int i = 0; i < nums.size(); i++){
  7. preSum[i + 1] = preSum[i] + nums[i];
  8. }
  9. // 寻找 i, j 使得 preSum[i] - preSum[j] == k, i > j
  10. // nums = [1,2,3], k = 3, preSum = [0,1,3,6]
  11. unordered_map<int, int> umap;
  12. for(int i = 0; i < preSum.size(); i++){
  13. if(umap.find(preSum[i] - k) != umap.end()) ans += umap[preSum[i] - k]; // 该语句必须放在前面
  14. if(umap.find(preSum[i]) == umap.end()) umap[preSum[i]] = 1;
  15. else umap[preSum[i]]++;
  16. }
  17. return ans;
  18. }
  19. };