refactor: 增加代码示例,代码格式化。

This commit is contained in:
guoli 2022-12-21 19:28:07 +08:00
parent 3b979f8d4e
commit 114fc656d2
3 changed files with 522 additions and 209 deletions

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@ -0,0 +1,158 @@
// File: time_complexity.js
// Created Time: 2022-12-21
// Author: leeguooooo (leeguooooo@gmail.com)
/* 常数阶 */
function constant(n) {
let count = 0
const size = 100000
for (let i = 0; i < size; i++) {
count++
}
return count
}
/* 线性阶 */
function linear(n) {
let count = 0
for (let i = 0; i < n; i++) {
count++
}
return count
}
/* 线性阶(遍历数组) */
function arrayTraversal(nums) {
let count = 0
// 循环次数与数组长度成正比
for (let num of nums) {
count++
}
return count
}
/* 平方阶 */
function quadratic(n) {
let count = 0
// 循环次数与数组长度成平方关系
for (let i = 0; i < n; i++) {
for (let j = 0; j < n; j++) {
count++
}
}
return count
}
/* 平方阶(冒泡排序) */
function bubbleSort(nums) {
let count = 0 // 计数器
// 外循环:待排序元素数量为 n-1, n-2, ..., 1
for (let i = nums.length - 1; i > 0; i--) {
// 内循环:冒泡操作
for (let j = 0; j < i; j++) {
if (nums[j] > nums[j + 1]) {
// 交换 nums[j] 与 nums[j + 1]
let tmp = nums[j]
nums[j] = nums[j + 1]
nums[j + 1] = tmp
count += 3 // 元素交换包含 3 个单元操作
}
}
}
return count
}
/* 指数阶(循环实现) */
function exponential(n) {
let count = 0,
base = 1
// cell 每轮一分为二,形成数列 1, 2, 4, 8, ..., 2^(n-1)
for (let i = 0; i < n; i++) {
for (let j = 0; j < base; j++) {
count++
}
base *= 2
}
// count = 1 + 2 + 4 + 8 + .. + 2^(n-1) = 2^n - 1
return count
}
/* 指数阶(递归实现)*/
function expRecur(n) {
if (n == 1) return 1
return expRecur(n - 1) + expRecur(n - 1) + 1
}
/* 对数阶(循环实现) */
function logarithmic(n) {
let count = 0
while (n > 1) {
n = n / 2
count++
}
return count
}
/* 对数阶(递归实现)*/
function logRecur(n) {
if (n <= 1) return 0
return logRecur(n / 2) + 1
}
/* 线性对数阶 */
function linearLogRecur(n) {
if (n <= 1) return 1
let count = linearLogRecur(n / 2) + linearLogRecur(n / 2)
for (let i = 0; i < n; i++) {
count++
}
return count
}
/* 阶乘阶(递归实现) */
function factorialRecur(n) {
if (n == 0) return 1
let count = 0
// 从 1 个分裂出 n 个
for (let i = 0; i < n; i++) {
count += factorialRecur(n - 1)
}
return count
}
/* 生成一个数组,元素为 { 1, 2, ..., n },顺序被打乱 */
function randomNumbers(n) {
// 生成数组 nums = { 1, 2, 3, ..., n }
let nums = [...Array(n).keys()].map(i => i + 1);
shuffle(nums);
return nums;
}
/* 查找数组 nums 中数字 1 所在索引 */
function findOne(nums) {
for (let i = 0; i < nums.length; i++) {
if (nums[i] === 1) return i;
}
return -1;
}
/* 随机打乱数组元素 */
function shuffle(arr) {
let n = arr.length;
for (let i = 0; i < n; i++) {
let j = Math.floor(Math.random() * n);
[arr[i], arr[j]] = [arr[j], arr[i]];
}
}
/* Driver Code */
; (function main() {
for (let i = 0; i < 10; i++) {
let n = 100;
let nums = randomNumbers(n);
let index = findOne(nums);
console.log("\n数组 [ 1, 2, ..., n ] 被打乱后 =", nums);
console.log("数字 1 的索引为", index);
}
})()

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@ -0,0 +1,157 @@
// File: time_complexity.ts
// Created Time: 2022-12-21
// Author: leeguooooo (leeguooooo@gmail.com)
/* 常数阶 */
function constant(n: number): number {
let count = 0
const size = 100000
for (let i = 0; i < size; i++) {
count++
}
return count
}
/* 线性阶 */
function linear(n: number): number {
let count = 0
for (let i = 0; i < n; i++) {
count++
}
return count
}
/* 线性阶(遍历数组) */
function arrayTraversal(nums: number[]) {
let count = 0
// 循环次数与数组长度成正比
for (let num of nums) {
count++
}
return count
}
/* 平方阶 */
function quadratic(n: number) {
let count = 0
// 循环次数与数组长度成平方关系
for (let i = 0; i < n; i++) {
for (let j = 0; j < n; j++) {
count++
}
}
return count
}
/* 平方阶(冒泡排序) */
function bubbleSort(nums: number[]) {
let count = 0 // 计数器
// 外循环:待排序元素数量为 n-1, n-2, ..., 1
for (let i = nums.length - 1; i > 0; i--) {
// 内循环:冒泡操作
for (let j = 0; j < i; j++) {
if (nums[j] > nums[j + 1]) {
// 交换 nums[j] 与 nums[j + 1]
let tmp = nums[j]
nums[j] = nums[j + 1]
nums[j + 1] = tmp
count += 3 // 元素交换包含 3 个单元操作
}
}
}
return count
}
/* 指数阶(循环实现) */
function exponential(n: number) {
let count = 0,
base = 1
// cell 每轮一分为二,形成数列 1, 2, 4, 8, ..., 2^(n-1)
for (let i = 0; i < n; i++) {
for (let j = 0; j < base; j++) {
count++
}
base *= 2
}
// count = 1 + 2 + 4 + 8 + .. + 2^(n-1) = 2^n - 1
return count
}
/* 指数阶(递归实现)*/
function expRecur(n: number) {
if (n == 1) return 1
return expRecur(n - 1) + expRecur(n - 1) + 1
}
/* 对数阶(循环实现) */
function logarithmic(n: number) {
let count = 0
while (n > 1) {
n = n / 2
count++
}
return count
}
/* 对数阶(递归实现)*/
function logRecur(n: number) {
if (n <= 1) return 0
return logRecur(n / 2) + 1
}
/* 线性对数阶 */
function linearLogRecur(n: number) {
if (n <= 1) return 1
let count = linearLogRecur(n / 2) + linearLogRecur(n / 2)
for (let i = 0; i < n; i++) {
count++
}
return count
}
/* 阶乘阶(递归实现) */
function factorialRecur(n: number) {
if (n == 0) return 1
let count = 0
// 从 1 个分裂出 n 个
for (let i = 0; i < n; i++) {
count += factorialRecur(n - 1)
}
return count
}
/* 生成一个数组,元素为 { 1, 2, ..., n },顺序被打乱 */
function randomNumbers(n: number): number[] {
// 生成数组 nums = { 1, 2, 3, ..., n }
let nums = [...Array(n).keys()].map((i) => i + 1)
shuffle(nums)
return nums
}
/* 查找数组 nums 中数字 1 所在索引 */
function findOne(nums: number[]): number {
for (let i = 0; i < nums.length; i++) {
if (nums[i] === 1) return i
}
return -1
}
/* 随机打乱数组元素 */
function shuffle(arr: number[]) {
let n = arr.length
for (let i = 0; i < n; i++) {
let j = Math.floor(Math.random() * n)
;[arr[i], arr[j]] = [arr[j], arr[i]]
}
}
/* Driver Code */
; (function main() {
for (let i = 0; i < 10; i++) {
let n = 100
let nums = randomNumbers(n)
let index = findOne(nums)
console.log('\n数组 [ 1, 2, ..., n ] 被打乱后 =', nums)
console.log('数字 1 的索引为', index)
}
})()

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@ -96,13 +96,13 @@ $$
```typescript title=""
// 在某运行平台下
function algorithm(n: number): void {
let a = 2 // 1 ns
a = a + 1 // 1 ns
a = a * 2 // 10 ns
// 循环 n 次
for (let i = 0; i < n; i++) { // 1 ns
a = a + i // 5 ns
}
let a = 2 // 1 ns
a = a + 1 // 1 ns
a = a * 2 // 10 ns
// 循环 n 次
for (let i = 0; i < n; i++) { // 1 ns
a = a + i // 5 ns
}
}
```
@ -237,21 +237,21 @@ $$
```typescript title=""
// 算法 A 时间复杂度:常数阶
function algorithmA(n: number) {
console.log(0)
console.log(0)
}
// 算法 A 时间复杂度:常数阶
function algorithmB(n: number) {
for (let i = 0; i < n; i++) {
console.log(0)
}
for (let i = 0; i < n; i++) {
console.log(0)
}
}
// 算法 C 时间复杂度:常数阶
function algorithmC(n: number) {
for (let i = 0; i < 1000000; i++) {
console.log(0)
}
for (let i = 0; i < 1000000; i++) {
console.log(0)
}
}
```
@ -345,14 +345,13 @@ $$
```js title=""
function algorithm(n) {
let a = 1 // +1
a = a + 1 // +1
a = a * 2 // +1
// 循环 n 次
for (let i = 0; i < n; i++) {
// +1每轮都执行 i ++
console.log(0) // +1
}
let a = 1 // +1
a = a + 1 // +1
a = a * 2 // +1
// 循环 n 次
for (let i = 0; i < n; i++) { // +1每轮都执行 i ++
console.log(0) // +1
}
}
```
@ -360,14 +359,13 @@ $$
```typescript title=""
function algorithm(n: number) {
let a = 1 // +1
a = a + 1 // +1
a = a * 2 // +1
// 循环 n 次
for (let i = 0; i < n; i++) {
// +1每轮都执行 i ++
console.log(0) // +1
}
let a = 1 // +1
a = a + 1 // +1
a = a * 2 // +1
// 循环 n 次
for (let i = 0; i < n; i++) { // +1每轮都执行 i ++
console.log(0) // +1
}
}
```
@ -510,18 +508,18 @@ $$
```js title=""
function algorithm(n) {
let a = 1 // +0技巧 1
a = a + n // +0技巧 1
// +n技巧 2
for (let i = 0; i < 5 * n + 1; i++) {
console.log(0)
}
// +n*n技巧 3
for (let i = 0; i < 2 * n; i++) {
for (let j = 0; j < n + 1; j++) {
console.log(0)
let a = 1 // +0技巧 1
a = a + n // +0技巧 1
// +n技巧 2
for (let i = 0; i < 5 * n + 1; i++) {
console.log(0)
}
// +n*n技巧 3
for (let i = 0; i < 2 * n; i++) {
for (let j = 0; j < n + 1; j++) {
console.log(0)
}
}
}
}
```
@ -529,18 +527,18 @@ $$
```typescript title=""
function algorithm(n: number) {
let a = 1 // +0技巧 1
a = a + n // +0技巧 1
// +n技巧 2
for (let i = 0; i < 5 * n + 1; i++) {
console.log(0)
}
// +n*n技巧 3
for (let i = 0; i < 2 * n; i++) {
for (let j = 0; j < n + 1; j++) {
console.log(0)
let a = 1 // +0技巧 1
a = a + n // +0技巧 1
// +n技巧 2
for (let i = 0; i < 5 * n + 1; i++) {
console.log(0)
}
// +n*n技巧 3
for (let i = 0; i < 2 * n; i++) {
for (let j = 0; j < n + 1; j++) {
console.log(0)
}
}
}
}
```
@ -656,12 +654,12 @@ $$
```js title="time_complexity.js"
/* 常数阶 */
function constant(n) {
let count = 0
const size = 100000
for (let i = 0; i < size; i++) {
count++
}
return count
let count = 0
const size = 100000
for (let i = 0; i < size; i++) {
count++
}
return count
}
```
@ -670,12 +668,12 @@ $$
```typescript title="time_complexity.ts"
/* 常数阶 */
function constant(n: number): number {
let count = 0
const size = 100000
for (let i = 0; i < size; i++) {
count++
}
return count
let count = 0
const size = 100000
for (let i = 0; i < size; i++) {
count++
}
return count
}
```
@ -748,11 +746,11 @@ $$
```js title="time_complexity.js"
/* 线性阶 */
function linear(n) {
let count = 0
for (let i = 0; i < n; i++) {
count++
}
return count
let count = 0
for (let i = 0; i < n; i++) {
count++
}
return count
}
```
@ -761,11 +759,11 @@ $$
```typescript title="time_complexity.ts"
/* 线性阶 */
function linear(n: number): number {
let count = 0
for (let i = 0; i < n; i++) {
count++
}
return count
let count = 0
for (let i = 0; i < n; i++) {
count++
}
return count
}
```
@ -846,12 +844,12 @@ $$
```js title="time_complexity.js"
/* 线性阶(遍历数组) */
function arrayTraversal(nums) {
let count = 0
// 循环次数与数组长度成正比
for (let num of nums) {
count++
}
return count
let count = 0
// 循环次数与数组长度成正比
for (let num of nums) {
count++
}
return count
}
```
@ -860,12 +858,12 @@ $$
```typescript title="time_complexity.ts"
/* 线性阶(遍历数组) */
function arrayTraversal(nums: number[]) {
let count = 0
// 循环次数与数组长度成正比
for (let num of nums) {
count++
}
return count
let count = 0
// 循环次数与数组长度成正比
for (let num of nums) {
count++
}
return count
}
```
@ -951,14 +949,14 @@ $$
```js title="time_complexity.js"
/* 平方阶 */
function quadratic(n) {
let count = 0
// 循环次数与数组长度成平方关系
for (let i = 0; i < n; i++) {
for (let j = 0; j < n; j++) {
count++
let count = 0
// 循环次数与数组长度成平方关系
for (let i = 0; i < n; i++) {
for (let j = 0; j < n; j++) {
count++
}
}
}
return count
return count
}
```
@ -967,14 +965,14 @@ $$
```typescript title="time_complexity.ts"
/* 平方阶 */
function quadratic(n: number) {
let count = 0
// 循环次数与数组长度成平方关系
for (let i = 0; i < n; i++) {
for (let j = 0; j < n; j++) {
count++
let count = 0
// 循环次数与数组长度成平方关系
for (let i = 0; i < n; i++) {
for (let j = 0; j < n; j++) {
count++
}
}
}
return count
return count
}
```
@ -1093,21 +1091,21 @@ $$
```js title="time_complexity.js"
/* 平方阶(冒泡排序) */
function bubbleSort(nums) {
let count = 0 // 计数器
// 外循环:待排序元素数量为 n-1, n-2, ..., 1
for (let i = nums.length - 1; i > 0; i--) {
// 内循环:冒泡操作
for (let j = 0; j < i; j++) {
if (nums[j] > nums[j + 1]) {
// 交换 nums[j] 与 nums[j + 1]
let tmp = nums[j]
nums[j] = nums[j + 1]
nums[j + 1] = tmp
count += 3 // 元素交换包含 3 个单元操作
}
let count = 0 // 计数器
// 外循环:待排序元素数量为 n-1, n-2, ..., 1
for (let i = nums.length - 1; i > 0; i--) {
// 内循环:冒泡操作
for (let j = 0; j < i; j++) {
if (nums[j] > nums[j + 1]) {
// 交换 nums[j] 与 nums[j + 1]
let tmp = nums[j]
nums[j] = nums[j + 1]
nums[j + 1] = tmp
count += 3 // 元素交换包含 3 个单元操作
}
}
}
}
return count
return count
}
```
@ -1228,17 +1226,17 @@ $$
```js title="time_complexity.js"
/* 指数阶(循环实现) */
function exponential(n) {
let count = 0,
base = 1
// cell 每轮一分为二,形成数列 1, 2, 4, 8, ..., 2^(n-1)
for (let i = 0; i < n; i++) {
for (let j = 0; j < base; j++) {
count++
let count = 0,
base = 1
// cell 每轮一分为二,形成数列 1, 2, 4, 8, ..., 2^(n-1)
for (let i = 0; i < n; i++) {
for (let j = 0; j < base; j++) {
count++
}
base *= 2
}
base *= 2
}
// count = 1 + 2 + 4 + 8 + .. + 2^(n-1) = 2^n - 1
return count
// count = 1 + 2 + 4 + 8 + .. + 2^(n-1) = 2^n - 1
return count
}
```
@ -1247,17 +1245,17 @@ $$
```typescript title="time_complexity.ts"
/* 指数阶(循环实现) */
function exponential(n: number) {
let count = 0,
base = 1
// cell 每轮一分为二,形成数列 1, 2, 4, 8, ..., 2^(n-1)
for (let i = 0; i < n; i++) {
for (let j = 0; j < base; j++) {
count++
let count = 0,
base = 1
// cell 每轮一分为二,形成数列 1, 2, 4, 8, ..., 2^(n-1)
for (let i = 0; i < n; i++) {
for (let j = 0; j < base; j++) {
count++
}
base *= 2
}
base *= 2
}
// count = 1 + 2 + 4 + 8 + .. + 2^(n-1) = 2^n - 1
return count
// count = 1 + 2 + 4 + 8 + .. + 2^(n-1) = 2^n - 1
return count
}
```
@ -1325,8 +1323,8 @@ $$
```js title="time_complexity.js"
/* 指数阶(递归实现)*/
function expRecur(n) {
if (n == 1) return 1
return expRecur(n - 1) + expRecur(n - 1) + 1
if (n == 1) return 1
return expRecur(n - 1) + expRecur(n - 1) + 1
}
```
@ -1335,8 +1333,8 @@ $$
```typescript title="time_complexity.ts"
/* 指数阶(递归实现)*/
function expRecur(n: number) {
if (n == 1) return 1
return expRecur(n - 1) + expRecur(n - 1) + 1
if (n == 1) return 1
return expRecur(n - 1) + expRecur(n - 1) + 1
}
```
@ -1419,12 +1417,12 @@ $$
```js title="time_complexity.js"
/* 对数阶(循环实现) */
function logarithmic(n) {
let count = 0
while (n > 1) {
n = n / 2
count++
}
return count
let count = 0
while (n > 1) {
n = n / 2
count++
}
return count
}
```
@ -1433,12 +1431,12 @@ $$
```typescript title="time_complexity.ts"
/* 对数阶(循环实现) */
function logarithmic(n: number) {
let count = 0
while (n > 1) {
n = n / 2
count++
}
return count
let count = 0
while (n > 1) {
n = n / 2
count++
}
return count
}
```
@ -1506,8 +1504,8 @@ $$
```js title="time_complexity.js"
/* 对数阶(递归实现)*/
function logRecur(n) {
if (n <= 1) return 0
return logRecur(n / 2) + 1
if (n <= 1) return 0
return logRecur(n / 2) + 1
}
```
@ -1516,8 +1514,8 @@ $$
```typescript title="time_complexity.ts"
/* 对数阶(递归实现)*/
function logRecur(n: number) {
if (n <= 1) return 0
return logRecur(n / 2) + 1
if (n <= 1) return 0
return logRecur(n / 2) + 1
}
```
@ -1604,12 +1602,12 @@ $$
```js title="time_complexity.js"
/* 线性对数阶 */
function linearLogRecur(n) {
if (n <= 1) return 1
let count = linearLogRecur(n / 2) + linearLogRecur(n / 2)
for (let i = 0; i < n; i++) {
count++
}
return count
if (n <= 1) return 1
let count = linearLogRecur(n / 2) + linearLogRecur(n / 2)
for (let i = 0; i < n; i++) {
count++
}
return count
}
```
@ -1618,12 +1616,12 @@ $$
```typescript title="time_complexity.ts"
/* 线性对数阶 */
function linearLogRecur(n: number) {
if (n <= 1) return 1
let count = linearLogRecur(n / 2) + linearLogRecur(n / 2)
for (let i = 0; i < n; i++) {
count++
}
return count
if (n <= 1) return 1
let count = linearLogRecur(n / 2) + linearLogRecur(n / 2)
for (let i = 0; i < n; i++) {
count++
}
return count
}
```
@ -1718,13 +1716,13 @@ $$
```js title="time_complexity.js"
/* 阶乘阶(递归实现) */
function factorialRecur(n) {
if (n == 0) return 1
let count = 0
// 从 1 个分裂出 n 个
for (let i = 0; i < n; i++) {
count += factorialRecur(n - 1)
}
return count
if (n == 0) return 1
let count = 0
// 从 1 个分裂出 n 个
for (let i = 0; i < n; i++) {
count += factorialRecur(n - 1)
}
return count
}
```
@ -1733,13 +1731,13 @@ $$
```typescript title="time_complexity.ts"
/* 阶乘阶(递归实现) */
function factorialRecur(n: number) {
if (n == 0) return 1
let count = 0
// 从 1 个分裂出 n 个
for (let i = 0; i < n; i++) {
count += factorialRecur(n - 1)
}
return count
if (n == 0) return 1
let count = 0
// 从 1 个分裂出 n 个
for (let i = 0; i < n; i++) {
count += factorialRecur(n - 1)
}
return count
}
```
@ -1948,7 +1946,7 @@ $$
}
/* Driver Code */
;(function main() {
; (function main() {
for (let i = 0; i < 10; i++) {
let n = 100;
let nums = randomNumbers(n);
@ -1964,38 +1962,38 @@ $$
```typescript title="worst_best_time_complexity.ts"
/* 生成一个数组,元素为 { 1, 2, ..., n },顺序被打乱 */
function randomNumbers(n: number): number[] {
// 生成数组 nums = { 1, 2, 3, ..., n }
let nums = [...Array(n).keys()].map((i) => i + 1)
shuffle(nums)
return nums
// 生成数组 nums = { 1, 2, 3, ..., n }
let nums = [...Array(n).keys()].map((i) => i + 1)
shuffle(nums)
return nums
}
/* 查找数组 nums 中数字 1 所在索引 */
function findOne(nums: number[]): number {
for (let i = 0; i < nums.length; i++) {
if (nums[i] === 1) return i
}
return -1
for (let i = 0; i < nums.length; i++) {
if (nums[i] === 1) return i
}
return -1
}
/* 随机打乱数组元素 */
function shuffle(arr: number[]) {
let n = arr.length
for (let i = 0; i < n; i++) {
let j = Math.floor(Math.random() * n)
;[arr[i], arr[j]] = [arr[j], arr[i]]
}
let n = arr.length
for (let i = 0; i < n; i++) {
let j = Math.floor(Math.random() * n)
;[arr[i], arr[j]] = [arr[j], arr[i]]
}
}
/* Driver Code */
;(function main() {
for (let i = 0; i < 10; i++) {
let n = 100
let nums = randomNumbers(n)
let index = findOne(nums)
console.log('\n数组 [ 1, 2, ..., n ] 被打乱后 =', nums)
console.log('数字 1 的索引为', index)
}
; (function main() {
for (let i = 0; i < 10; i++) {
let n = 100
let nums = randomNumbers(n)
let index = findOne(nums)
console.log('\n数组 [ 1, 2, ..., n ] 被打乱后 =', nums)
console.log('数字 1 的索引为', index)
}
})()
```