/* Given a sorted array of integers, find the starting and ending position of a given target value. Your algorithm's runtime complexity must be in the order of O(log n). If the target is not found in the array, return [-1, -1]. For example, Given [5, 7, 7, 8, 8, 10] and target value 8, return [3, 4]. */ class Solution { public: int binarySearch(int A[], int n, int target) { int i = 0, j = n - 1; while (i <= j) { int m = i + (j - i) / 2; if (A[m] == target) return m; if (A[m] > target) j = m - 1; if (A[m] < target) i = m + 1; } return -1; } vector<int> searchRange(int A[], int n, int target) { // Start typing your C/C++ solution below // DO NOT write int main() function int pos_target = -1; int left = 0, right = n - 1; while (left <= right) { int m = left + (right - left) / 2; if (A[m] == target) {pos_target = m; break;} if (A[m] > target) right = m - 1; if (A[m] < target) left = m + 1; } if (pos_target == -1) return vector<int>{-1, -1}; int start = pos_target, i = left, j = pos_target - 1; while (i <= j) { int m = i + (j - i) / 2; if (A[m] == target) { j = m; if (i == j) { start = i; break; } } else { i = m + 1; } } int end = pos_target; i = pos_target + 1, j = right; while (i <= j) { int m = i + (j - i) / 2; if (A[m] == target) { i = m; if (i == j) { end = i; break; } } else { j = m - 1; } } return vector<int>{start, end}; } }; /* A better approach */ class Solution { public: vector<int> searchRange(int A[], int n, int target) { // Start typing your C/C++ solution below // DO NOT write int main() function int lower = -1, upper = -1, i = 0, j = n - 1; //find lowerbound while (i <= j) { int m = i + (j - i) / 2; if (A[m] == target) { lower = m; j = m - 1; } else if (A[m] > target) { j = m - 1; } else { i = m + 1; } } if (lower == -1) return vector<int>{-1, -1}; i = lower, j = n - 1; while (i <= j) { int m = i + (j - i) / 2; if (A[m] == target) { i = m + 1; upper = m; } else { j = m - 1; } } return vector<int>{lower, upper}; } };