/** * File: time_complexity.js * Created Time: 2023-01-02 * Author: RiverTwilight (contact@rene.wang) */ /* 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 i = 0; i < nums.length; i++) { 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; } const n = 8; console.log("输入数据大小 n = " + n); let count = constant(n); console.log("常数阶的计算操作数量 = " + count); count = linear(n); console.log("线性阶的计算操作数量 = " + count); count = arrayTraversal(new Array(n)); console.log("线性阶(遍历数组)的计算操作数量 = " + count); count = quadratic(n); console.log("平方阶的计算操作数量 = " + count); let nums = new Array(n); for (let i = 0; i < n; i++) nums[i] = n - i; // [n,n-1,...,2,1] count = bubbleSort(nums); console.log("平方阶(冒泡排序)的计算操作数量 = " + count); count = exponential(n); console.log("指数阶(循环实现)的计算操作数量 = " + count); count = expRecur(n); console.log("指数阶(递归实现)的计算操作数量 = " + count); count = logarithmic(n); console.log("对数阶(循环实现)的计算操作数量 = " + count); count = logRecur(n); console.log("对数阶(递归实现)的计算操作数量 = " + count); count = linearLogRecur(n); console.log("线性对数阶(递归实现)的计算操作数量 = " + count); count = factorialRecur(n); console.log("阶乘阶(递归实现)的计算操作数量 = " + count);