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Refactor the articles related to searching algorithm. Add the chapter of binary search. Add the section of searching algorithm revisited. (#464)
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@@ -1,33 +0,0 @@
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// File: leetcode_two_sum.go
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// Created Time: 2022-11-25
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// Author: reanon (793584285@qq.com)
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package chapter_computational_complexity
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/* 方法一:暴力枚举 */
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func twoSumBruteForce(nums []int, target int) []int {
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size := len(nums)
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// 两层循环,时间复杂度 O(n^2)
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for i := 0; i < size-1; i++ {
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for j := i + 1; i < size; j++ {
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if nums[i]+nums[j] == target {
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return []int{i, j}
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}
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}
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}
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return nil
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}
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/* 方法二:辅助哈希表 */
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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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hashTable := map[int]int{}
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// 单层循环,时间复杂度 O(n)
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for idx, val := range nums {
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if preIdx, ok := hashTable[target-val]; ok {
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return []int{preIdx, idx}
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}
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hashTable[val] = idx
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}
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return nil
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}
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@@ -1,24 +0,0 @@
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// File: leetcode_two_sum.go
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// Created Time: 2022-11-25
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// Author: reanon (793584285@qq.com)
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package chapter_computational_complexity
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import (
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"fmt"
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"testing"
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)
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func TestTwoSum(t *testing.T) {
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// ======= Test Case =======
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nums := []int{2, 7, 11, 15}
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target := 9
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// ====== Driver Code ======
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// 方法一:暴力解法
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res := twoSumBruteForce(nums, target)
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fmt.Println("方法一 res =", res)
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// 方法二:哈希表
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res = twoSumHashTable(nums, target)
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fmt.Println("方法二 res =", res)
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}
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