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Merge branch 'master' of github.com:krahets/hello-algo
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01e211c7ee
112
codes/c/chapter_array_and_linkedlist/array.c
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112
codes/c/chapter_array_and_linkedlist/array.c
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/*
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* File: array.c
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* Created Time: 2022-12-20
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* Author: MolDuM (moldum@163.com)
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*/
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#include "../include/include.h"
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/* 随机返回一个数组元素 */
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int randomAccess(int* nums, int size) {
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// 在区间 [0, size) 中随机抽取一个数字
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int randomIndex = rand() % size;
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// 获取并返回随机元素
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int randomNum = nums[randomIndex];
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return randomNum;
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}
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/* 扩展数组长度 */
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int* extend(int* nums, int size, int enlarge) {
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// 初始化一个扩展长度后的数组
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int* res = (int *)malloc(sizeof(int) * (size + enlarge));
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// 将原数组中的所有元素复制到新数组
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for (int i = 0; i < size; i++) {
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res[i] = nums[i];
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}
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// 初始化扩展后的空间
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for (int i = size; i < size + enlarge; i++) {
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res[i] = 0;
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}
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// 返回扩展后的新数组
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return res;
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}
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/* 在数组的索引 index 处插入元素 num */
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void insert(int* nums, int size, int num, int index) {
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// 把索引 index 以及之后的所有元素向后移动一位
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for (int i = size - 1; i > index; i--) {
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nums[i] = nums[i - 1];
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}
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// 将 num 赋给 index 处元素
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nums[index] = num;
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}
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/* 删除索引 index 处元素 */
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void removeItem(int* nums, int size, int index) {
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// 把索引 index 之后的所有元素向前移动一位
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for (int i = index; i < size - 1; i++) {
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nums[i] = nums[i + 1];
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}
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}
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/* 遍历数组 */
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void traverse(int* nums, int size) {
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int count = 0;
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// 通过索引遍历数组
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for (int i = 0; i < size; i++) {
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count++;
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}
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}
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/* 在数组中查找指定元素 */
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int find(int* nums, int size, int target) {
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for (int i = 0; i < size; i++) {
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if (nums[i] == target)
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return i;
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}
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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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/* 初始化数组 */
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int size = 5;
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int arr[5];
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printf("数组 arr = ");
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printArray(arr, size);
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int nums[5] = { 1, 3, 2, 5, 4 };
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printf("数组 nums = ");
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printArray(nums, size);
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/* 随机访问 */
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int randomNum = randomAccess(nums, size);
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printf("在 nums 中获取随机元素 %d", randomNum);
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/* 长度扩展 */
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int enlarge = 3;
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int* res = extend(nums, size, enlarge);
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size += enlarge;
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printf("将数组长度扩展至 8 ,得到 nums = ");
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printArray(res, size);
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/* 插入元素 */
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insert(res, size, 6, 3);
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printf("在索引 3 处插入数字 6 ,得到 nums = ");
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printArray(res, size);
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/* 删除元素 */
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removeItem(res, size, 2);
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printf("删除索引 2 处的元素,得到 nums = ");
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printArray(res, size);
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/* 遍历数组 */
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traverse(res, size);
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/* 查找元素 */
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int index = find(res, size, 3);
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printf("在 res 中查找元素 3 ,得到索引 = %d\n", index);
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return 0;
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}
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30
codes/c/include/PrintUtil.h
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30
codes/c/include/PrintUtil.h
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/*
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* File: PrintUtil.h
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* Created Time: 2022-12-21
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* Author: MolDum (moldum@163.com)
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*/
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#include <stdio.h>
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#include <string.h>
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#include <stdlib.h>
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// #include "ListNode.h"
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// #include "TreeNode.h"
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/**
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* @brief Print an Array
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*
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* @param arr
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* @param n
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*/
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static void printArray(int* arr, int n)
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{
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printf("[");
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for (int i = 0; i < n - 1; i++) {
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printf("%d, ", arr[i]);
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}
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printf("%d]\n", arr[n-1]);
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}
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#include <stdio.h>
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#include <stdbool.h>
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/*
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* File: include.h
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* Created Time: 2022-12-20
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* Author: MolDuM (moldum@163.com)
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*/
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#include <stdio.h>
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#include <stdlib.h>
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#include <string.h>
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#include <stdbool.h>
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#include "PrintUtil.h"
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.executable(name: "time_complexity", targets: ["time_complexity"]),
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.executable(name: "worst_best_time_complexity", targets: ["worst_best_time_complexity"]),
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.executable(name: "space_complexity", targets: ["space_complexity"]),
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.executable(name: "leetcode_two_sum", targets: ["leetcode_two_sum"]),
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],
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targets: [
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.target(name: "utils", path: "utils"),
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.executableTarget(name: "time_complexity", path: "chapter_computational_complexity", sources: ["time_complexity.swift"]),
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.executableTarget(name: "worst_best_time_complexity", path: "chapter_computational_complexity", sources: ["worst_best_time_complexity.swift"]),
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.executableTarget(name: "space_complexity", dependencies: ["utils"], path: "chapter_computational_complexity", sources: ["space_complexity.swift"]),
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.executableTarget(name: "leetcode_two_sum", path: "chapter_computational_complexity", sources: ["leetcode_two_sum.swift"]),
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]
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)
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/*
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* File: leetcode_two_sum.swift
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* Created Time: 2023-01-03
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* Author: nuomi1 (nuomi1@qq.com)
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*/
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func twoSumBruteForce(nums: [Int], target: Int) -> [Int] {
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// 两层循环,时间复杂度 O(n^2)
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for i in nums.indices.dropLast() {
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for j in nums.indices.dropFirst(i + 1) {
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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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}
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return [0]
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}
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func twoSumHashTable(nums: [Int], target: Int) -> [Int] {
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// 辅助哈希表,空间复杂度 O(n)
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var dic: [Int: Int] = [:]
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// 单层循环,时间复杂度 O(n)
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for i in nums.indices {
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if let j = dic[target - nums[i]] {
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return [j, i]
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}
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dic[nums[i]] = i
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}
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return [0]
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}
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@main
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enum LeetcodeTwoSum {
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static func main() {
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// ======= Test Case =======
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let nums = [2, 7, 11, 15]
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let target = 9
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// ====== Driver Code ======
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// 方法一
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var res = twoSumBruteForce(nums: nums, target: target)
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print("方法一 res = \(res)")
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// 方法二
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res = twoSumHashTable(nums: nums, target: target)
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print("方法二 res = \(res)")
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}
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}
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}
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```
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=== "Swift"
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```swift title="leetcode_two_sum.swift"
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func twoSumBruteForce(nums: [Int], target: Int) -> [Int] {
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// 两层循环,时间复杂度 O(n^2)
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for i in nums.indices.dropLast() {
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for j in nums.indices.dropFirst(i + 1) {
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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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}
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return [0]
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}
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```
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### 方法二:辅助哈希表
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时间复杂度 $O(N)$ ,空间复杂度 $O(N)$ ,属于「空间换时间」。
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@ -294,3 +310,20 @@ comments: true
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}
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}
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```
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=== "Swift"
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```swift title="leetcode_two_sum.swift"
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func twoSumHashTable(nums: [Int], target: Int) -> [Int] {
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// 辅助哈希表,空间复杂度 O(n)
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var dic: [Int: Int] = [:]
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// 单层循环,时间复杂度 O(n)
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for i in nums.indices {
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if let j = dic[target - nums[i]] {
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return [j, i]
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}
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dic[nums[i]] = i
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}
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return [0]
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}
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```
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@ -120,7 +120,7 @@ comments: true
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- 「根结点 Root Node」:二叉树最顶层的结点,其没有父结点;
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- 「叶结点 Leaf Node」:没有子结点的结点,其两个指针都指向 $\text{null}$ ;
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- 结点所处「层 Level」:从顶置底依次增加,根结点所处层为 1 ;
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- 结点所处「层 Level」:从顶至底依次增加,根结点所处层为 1 ;
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- 结点「度 Degree」:结点的子结点数量。二叉树中,度的范围是 0, 1, 2 ;
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- 「边 Edge」:连接两个结点的边,即结点指针;
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- 二叉树「高度」:二叉树中根结点到最远叶结点走过边的数量;
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