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https://github.com/krahets/hello-algo.git
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Add the initial EN translation for C++ code (#1346)
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@@ -0,0 +1,4 @@
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add_executable(binary_search binary_search.cpp)
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add_executable(binary_search_insertion binary_search_insertion.cpp)
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add_executable(binary_search_edge binary_search_edge.cpp)
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add_executable(two_sum two_sum.cpp)
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@@ -0,0 +1,59 @@
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/**
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* File: binary_search.cpp
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* Created Time: 2022-11-25
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* Author: krahets (krahets@163.com)
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*/
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#include "../utils/common.hpp"
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/* Binary search (double closed interval) */
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int binarySearch(vector<int> &nums, int target) {
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// Initialize double closed interval [0, n-1], i.e., i, j point to the first element and last element of the array respectively
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int i = 0, j = nums.size() - 1;
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// Loop until the search interval is empty (when i > j, it is empty)
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while (i <= j) {
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int m = i + (j - i) / 2; // Calculate midpoint index m
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if (nums[m] < target) // This situation indicates that target is in the interval [m+1, j]
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i = m + 1;
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else if (nums[m] > target) // This situation indicates that target is in the interval [i, m-1]
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j = m - 1;
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else // Found the target element, thus return its index
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return m;
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}
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// Did not find the target element, thus return -1
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return -1;
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}
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/* Binary search (left closed right open interval) */
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int binarySearchLCRO(vector<int> &nums, int target) {
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// Initialize left closed right open interval [0, n), i.e., i, j point to the first element and the last element +1 of the array respectively
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int i = 0, j = nums.size();
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// Loop until the search interval is empty (when i = j, it is empty)
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while (i < j) {
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int m = i + (j - i) / 2; // Calculate midpoint index m
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if (nums[m] < target) // This situation indicates that target is in the interval [m+1, j)
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i = m + 1;
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else if (nums[m] > target) // This situation indicates that target is in the interval [i, m)
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j = m;
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else // Found the target element, thus return its index
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return m;
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}
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// Did not find the target element, thus return -1
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return -1;
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}
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/* Driver Code */
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int main() {
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int target = 6;
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vector<int> nums = {1, 3, 6, 8, 12, 15, 23, 26, 31, 35};
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/* Binary search (double closed interval) */
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int index = binarySearch(nums, target);
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cout << "Index of target element 6 =" << index << endl;
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/* Binary search (left closed right open interval) */
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index = binarySearchLCRO(nums, target);
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cout << "Index of target element 6 =" << index << endl;
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return 0;
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}
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@@ -0,0 +1,66 @@
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/**
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* File: binary_search_edge.cpp
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* Created Time: 2023-08-04
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* Author: krahets (krahets@163.com)
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*/
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#include "../utils/common.hpp"
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/* Binary search for insertion point (with duplicate elements) */
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int binarySearchInsertion(const vector<int> &nums, int target) {
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int i = 0, j = nums.size() - 1; // Initialize double closed interval [0, n-1]
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while (i <= j) {
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int m = i + (j - i) / 2; // Calculate midpoint index m
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if (nums[m] < target) {
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i = m + 1; // Target is in interval [m+1, j]
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} else {
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j = m - 1; // First element less than target is in interval [i, m-1]
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}
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}
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// Return insertion point i
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return i;
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}
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/* Binary search for the leftmost target */
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int binarySearchLeftEdge(vector<int> &nums, int target) {
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// Equivalent to finding the insertion point of target
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int i = binarySearchInsertion(nums, target);
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// Did not find target, thus return -1
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if (i == nums.size() || nums[i] != target) {
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return -1;
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}
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// Found target, return index i
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return i;
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}
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/* Binary search for the rightmost target */
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int binarySearchRightEdge(vector<int> &nums, int target) {
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// Convert to finding the leftmost target + 1
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int i = binarySearchInsertion(nums, target + 1);
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// j points to the rightmost target, i points to the first element greater than target
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int j = i - 1;
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// Did not find target, thus return -1
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if (j == -1 || nums[j] != target) {
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return -1;
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}
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// Found target, return index j
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return j;
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}
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/* Driver Code */
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int main() {
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// Array with duplicate elements
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vector<int> nums = {1, 3, 6, 6, 6, 6, 6, 10, 12, 15};
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cout << "\nArray nums = ";
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printVector(nums);
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// Binary search for left and right boundaries
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for (int target : {6, 7}) {
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int index = binarySearchLeftEdge(nums, target);
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cout << "The leftmost index of element " << target << " is " << index << endl;
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index = binarySearchRightEdge(nums, target);
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cout << "The rightmost index of element " << target << " is " << index << endl;
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}
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return 0;
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}
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@@ -0,0 +1,66 @@
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/**
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* File: binary_search_insertion.cpp
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* Created Time: 2023-08-04
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* Author: krahets (krahets@163.com)
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*/
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#include "../utils/common.hpp"
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/* Binary search for insertion point (no duplicate elements) */
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int binarySearchInsertionSimple(vector<int> &nums, int target) {
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int i = 0, j = nums.size() - 1; // Initialize double closed interval [0, n-1]
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while (i <= j) {
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int m = i + (j - i) / 2; // Calculate midpoint index m
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if (nums[m] < target) {
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i = m + 1; // Target is in interval [m+1, j]
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} else if (nums[m] > target) {
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j = m - 1; // Target is in interval [i, m-1]
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} else {
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return m; // Found target, return insertion point m
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}
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}
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// Did not find target, return insertion point i
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return i;
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}
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/* Binary search for insertion point (with duplicate elements) */
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int binarySearchInsertion(vector<int> &nums, int target) {
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int i = 0, j = nums.size() - 1; // Initialize double closed interval [0, n-1]
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while (i <= j) {
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int m = i + (j - i) / 2; // Calculate midpoint index m
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if (nums[m] < target) {
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i = m + 1; // Target is in interval [m+1, j]
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} else if (nums[m] > target) {
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j = m - 1; // Target is in interval [i, m-1]
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} else {
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j = m - 1; // First element less than target is in interval [i, m-1]
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}
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}
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// Return insertion point i
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return i;
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}
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/* Driver Code */
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int main() {
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// Array without duplicate elements
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vector<int> nums = {1, 3, 6, 8, 12, 15, 23, 26, 31, 35};
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cout << "\nArray nums = ";
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printVector(nums);
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// Binary search for insertion point
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for (int target : {6, 9}) {
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int index = binarySearchInsertionSimple(nums, target);
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cout << "The insertion point index for element " << target << " is " << index << endl;
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}
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// Array with duplicate elements
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nums = {1, 3, 6, 6, 6, 6, 6, 10, 12, 15};
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cout << "\nArray nums = ";
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printVector(nums);
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// Binary search for insertion point
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for (int target : {2, 6, 20}) {
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int index = binarySearchInsertion(nums, target);
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cout << "The insertion point index for element " << target << " is " << index << endl;
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}
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return 0;
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}
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@@ -0,0 +1,53 @@
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/**
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* File: hashing_search.cpp
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* Created Time: 2022-11-25
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* Author: krahets (krahets@163.com)
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*/
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#include "../utils/common.hpp"
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/* Hash search (array) */
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int hashingSearchArray(unordered_map<int, int> map, int target) {
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// Hash table's key: target element, value: index
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// If the hash table does not contain this key, return -1
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if (map.find(target) == map.end())
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return -1;
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return map[target];
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}
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/* Hash search (linked list) */
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ListNode *hashingSearchLinkedList(unordered_map<int, ListNode *> map, int target) {
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// Hash table key: target node value, value: node object
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// If the key is not in the hash table, return nullptr
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if (map.find(target) == map.end())
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return nullptr;
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return map[target];
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}
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/* Driver Code */
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int main() {
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int target = 3;
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/* Hash search (array) */
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vector<int> nums = {1, 5, 3, 2, 4, 7, 5, 9, 10, 8};
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// Initialize hash table
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unordered_map<int, int> map;
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for (int i = 0; i < nums.size(); i++) {
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map[nums[i]] = i; // key: element, value: index
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}
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int index = hashingSearchArray(map, target);
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cout << "The index of target element 3 is " << index << endl;
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/* Hash search (linked list) */
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ListNode *head = vecToLinkedList(nums);
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// Initialize hash table
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unordered_map<int, ListNode *> map1;
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while (head != nullptr) {
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map1[head->val] = head; // key: node value, value: node
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head = head->next;
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}
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ListNode *node = hashingSearchLinkedList(map1, target);
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cout << "The corresponding node object for target node value 3 is " << node << endl;
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return 0;
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}
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@@ -0,0 +1,49 @@
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/**
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* File: linear_search.cpp
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* Created Time: 2022-11-25
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* Author: krahets (krahets@163.com)
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*/
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#include "../utils/common.hpp"
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/* Linear search (array) */
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int linearSearchArray(vector<int> &nums, int target) {
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// Traverse array
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for (int i = 0; i < nums.size(); i++) {
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// Found the target element, thus return its index
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if (nums[i] == target)
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return i;
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}
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// Did not find the target element, thus return -1
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return -1;
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}
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/* Linear search (linked list) */
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ListNode *linearSearchLinkedList(ListNode *head, int target) {
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// Traverse the list
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while (head != nullptr) {
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// Found the target node, return it
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if (head->val == target)
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return head;
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head = head->next;
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}
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// If the target node is not found, return nullptr
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return nullptr;
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}
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/* Driver Code */
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int main() {
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int target = 3;
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/* Perform linear search in array */
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vector<int> nums = {1, 5, 3, 2, 4, 7, 5, 9, 10, 8};
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int index = linearSearchArray(nums, target);
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cout << "The index of target element 3 is " << index << endl;
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/* Perform linear search in linked list */
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ListNode *head = vecToLinkedList(nums);
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ListNode *node = linearSearchLinkedList(head, target);
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cout << "The corresponding node object for target node value 3 is " << node << endl;
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return 0;
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}
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@@ -0,0 +1,54 @@
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/**
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* File: two_sum.cpp
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* Created Time: 2022-11-25
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* Author: krahets (krahets@163.com)
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*/
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#include "../utils/common.hpp"
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/* Method one: Brute force enumeration */
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vector<int> twoSumBruteForce(vector<int> &nums, int target) {
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int size = nums.size();
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// Two-layer loop, time complexity is O(n^2)
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for (int i = 0; i < size - 1; i++) {
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for (int j = i + 1; j < size; j++) {
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if (nums[i] + nums[j] == target)
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return {i, j};
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}
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}
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return {};
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}
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/* Method two: Auxiliary hash table */
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vector<int> twoSumHashTable(vector<int> &nums, int target) {
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int size = nums.size();
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// Auxiliary hash table, space complexity is O(n)
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unordered_map<int, int> dic;
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// Single-layer loop, time complexity is O(n)
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for (int i = 0; i < size; i++) {
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if (dic.find(target - nums[i]) != dic.end()) {
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return {dic[target - nums[i]], i};
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}
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dic.emplace(nums[i], i);
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}
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return {};
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}
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/* Driver Code */
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int main() {
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// ======= Test Case =======
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vector<int> nums = {2, 7, 11, 15};
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int target = 13;
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// ====== Driver Code ======
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// Method one
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vector<int> res = twoSumBruteForce(nums, target);
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cout << "Method one res = ";
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printVector(res);
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// Method two
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res = twoSumHashTable(nums, target);
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cout << "Method two res = ";
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printVector(res);
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return 0;
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}
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