CS_learn/hello-algo
1
0
Fork 0
mirror of https://github.com/krahets/hello-algo.git synced 2026-04-13 14:10:00 +08:00
Code Issues Packages Projects Releases Wiki Activity

build

Browse Source
This commit is contained in:
krahets
2023-02-08 16:47:52 +08:00
parent 139e34bdb1
commit 7156a5f832
15 changed files with 367 additions and 208 deletions
Download Patch File Download Diff File Expand all files Collapse all files

124
chapter_computational_complexity/space_time_tradeoff.md
View File

@@ -34,18 +34,16 @@ comments: true
```java title="leetcode_two_sum.java"
/* 方法一：暴力枚举 */
class SolutionBruteForce {
public int[] twoSum(int[] nums, int target) {
int size = nums.length;
// 两层循环，时间复杂度 O(n^2)
for (int i = 0; i < size - 1; i++) {
for (int j = i + 1; j < size; j++) {
if (nums[i] + nums[j] == target)
return new int[] { i, j };
}
int[] twoSumBruteForce(int[] nums, int target) {
int size = nums.length;
// 两层循环，时间复杂度 O(n^2)
for (int i = 0; i < size - 1; i++) {
for (int j = i + 1; j < size; j++) {
if (nums[i] + nums[j] == target)
return new int[] { i, j };
}
return new int[0];
}
return new int[0];
}
```
@@ -53,34 +51,30 @@ comments: true
```cpp title="leetcode_two_sum.cpp"
/* 方法一：暴力枚举 */
class SolutionBruteForce {
public:
vector<int> twoSum(vector<int>& nums, int target) {
int size = nums.size();
// 两层循环，时间复杂度 O(n^2)
for (int i = 0; i < size - 1; i++) {
for (int j = i + 1; j < size; j++) {
if (nums[i] + nums[j] == target)
return { i, j };
}
vector<int> twoSumBruteForce(vector<int>& nums, int target) {
int size = nums.size();
// 两层循环，时间复杂度 O(n^2)
for (int i = 0; i < size - 1; i++) {
for (int j = i + 1; j < size; j++) {
if (nums[i] + nums[j] == target)
return { i, j };
}
return {};
}
};
return {};
}
```
=== "Python"
```python title="leetcode_two_sum.py"
""" 方法一：暴力枚举 """
class SolutionBruteForce:
def twoSum(self, nums: List[int], target: int) -> List[int]:
# 两层循环，时间复杂度 O(n^2)
for i in range(len(nums) - 1):
for j in range(i + 1, len(nums)):
if nums[i] + nums[j] == target:
return i, j
return []
def two_sum_brute_force(nums: List[int], target: int) -> List[int]:
# 两层循环，时间复杂度 O(n^2)
for i in range(len(nums) - 1):
for j in range(i + 1, len(nums)):
if nums[i] + nums[j] == target:
return i, j
return []
```
=== "Go"
@@ -103,6 +97,7 @@ comments: true
=== "JavaScript"
```javascript title="leetcode_two_sum.js"
/* 方法一：暴力枚举 */
function twoSumBruteForce(nums, target) {
const n = nums.length;
// 两层循环，时间复杂度 O(n^2)
@@ -120,6 +115,7 @@ comments: true
=== "TypeScript"
```typescript title="leetcode_two_sum.ts"
/* 方法一：暴力枚举 */
function twoSumBruteForce(nums: number[], target: number): number[] {
const n = nums.length;
// 两层循环，时间复杂度 O(n^2)
@@ -210,20 +206,18 @@ comments: true
```java title="leetcode_two_sum.java"
/* 方法二：辅助哈希表 */
class SolutionHashMap {
public int[] twoSum(int[] nums, int target) {
int size = nums.length;
// 辅助哈希表，空间复杂度 O(n)
Map<Integer, Integer> dic = new HashMap<>();
// 单层循环，时间复杂度 O(n)
for (int i = 0; i < size; i++) {
if (dic.containsKey(target - nums[i])) {
return new int[] { dic.get(target - nums[i]), i };
}
dic.put(nums[i], i);
int[] twoSumHashTable(int[] nums, int target) {
int size = nums.length;
// 辅助哈希表，空间复杂度 O(n)
Map<Integer, Integer> dic = new HashMap<>();
// 单层循环，时间复杂度 O(n)
for (int i = 0; i < size; i++) {
if (dic.containsKey(target - nums[i])) {
return new int[] { dic.get(target - nums[i]), i };
}
return new int[0];
dic.put(nums[i], i);
}
return new int[0];
}
```
@@ -231,38 +225,34 @@ comments: true
```cpp title="leetcode_two_sum.cpp"
/* 方法二：辅助哈希表 */
class SolutionHashMap {
public:
vector<int> twoSum(vector<int>& nums, int target) {
int size = nums.size();
// 辅助哈希表，空间复杂度 O(n)
unordered_map<int, int> dic;
// 单层循环，时间复杂度 O(n)
for (int i = 0; i < size; i++) {
if (dic.find(target - nums[i]) != dic.end()) {
return { dic[target - nums[i]], i };
}
dic.emplace(nums[i], i);
vector<int> twoSumHashTable(vector<int>& nums, int target) {
int size = nums.size();
// 辅助哈希表，空间复杂度 O(n)
unordered_map<int, int> dic;
// 单层循环，时间复杂度 O(n)
for (int i = 0; i < size; i++) {
if (dic.find(target - nums[i]) != dic.end()) {
return { dic[target - nums[i]], i };
}
return {};
dic.emplace(nums[i], i);
}
};
return {};
}
```
=== "Python"
```python title="leetcode_two_sum.py"
""" 方法二：辅助哈希表 """
class SolutionHashMap:
def twoSum(self, nums: List[int], target: int) -> List[int]:
# 辅助哈希表，空间复杂度 O(n)
dic = {}
# 单层循环，时间复杂度 O(n)
for i in range(len(nums)):
if target - nums[i] in dic:
return dic[target - nums[i]], i
dic[nums[i]] = i
return []
def two_sum_hash_table(nums: List[int], target: int) -> List[int]:
# 辅助哈希表，空间复杂度 O(n)
dic = {}
# 单层循环，时间复杂度 O(n)
for i in range(len(nums)):
if target - nums[i] in dic:
return dic[target - nums[i]], i
dic[nums[i]] = i
return []
```
=== "Go"
@@ -285,6 +275,7 @@ comments: true
=== "JavaScript"
```javascript title="leetcode_two_sum.js"
/* 方法二：辅助哈希表 */
function twoSumHashTable(nums, target) {
// 辅助哈希表，空间复杂度 O(n)
let m = {};
@@ -303,6 +294,7 @@ comments: true
=== "TypeScript"
```typescript title="leetcode_two_sum.ts"
/* 方法二：辅助哈希表 */
function twoSumHashTable(nums: number[], target: number): number[] {
// 辅助哈希表，空间复杂度 O(n)
let m: Map<number, number> = new Map();

2
chapter_computational_complexity/time_complexity.md
View File

@@ -1705,7 +1705,6 @@ $$
// count = 1 + 2 + 4 + 8 + .. + 2^(n-1) = 2^n - 1
return count;
}
```
=== "TypeScript"
@@ -1872,7 +1871,6 @@ $$
if (n == 1) return 1;
return expRecur(n - 1) + expRecur(n - 1) + 1;
}
```
=== "C"