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以下是前端笔试常见的编程算法题及JavaScript代码现，结合最新面试题整理：
一、数组/字符串处理
-
两数之和
找出数组中两数之和等于目标值的索引const twoSum = (nums, target) => {const map = new Map();for (let i = 0; i < nums.length; i++) {const complement = target - nums[i];if (map.has(complement)) return [map.get(complement), i];map.set(nums[i], i);} }; -
最长无重复子串
求字符串中最长不重复字符的子串长度const lengthOfLongestSubstring = (s) => {let map = new Map(), max = 0, left = 0;for (let right = 0; right < s.length; right++) {if (map.has(s[right])) left = Math.max(left, map.get(s[right]) + 1);map.set(s[right], right);max = Math.max(max, right - left + 1);} }; -
数组扁平化与去重
输入多维数组，输出一维去重排序结果const flattenAndUnique = (arr) => [...new Set(arr.flat(Infinity))].sort((a,b) => a - b);
二、排序算法
-
快速排序
分治递归实现const quickSort = (arr) => {if (arr.length <= 1) return arr;const pivot = arr.pop();const left = arr.filter(x => x <= pivot);const right = arr.filter(x => x > pivot);return [...quickSort(left), pivot, ...quickSort(right)]; }; -
冒泡排序
基础版本function bubbleSort(arr) {let len = arr.length;for (let i = 0; i < len; i++) {for (let j = 0; j < len - 1 - i; j++) {if (arr[j] > arr[j + 1]) [arr[j], arr[j + 1]] = [arr[j + 1], arr[j]];}}return arr; }
三、链表操作
-
反转链表
单链表原地反转function reverseList(head) {let prev = null, curr = head;while (curr) {const next = curr.next;curr.next = prev;prev = curr;curr = next;}return prev; } -
判断环形链表
快慢指针法const hasCycle = (head) => {let slow = head, fast = head;while (fast && fast.next) {slow = slow.next;fast = fast.next.next;if (slow === fast) return true;}return false; };
四、动态规划
-
爬楼梯
每次跳1或2阶，求方法总数const climbStairs = (n) => {let [a, b] = [1, 1];for (let i = 2; i <= n; i++) [a, b] = [b, a + b];return b; }; -
买卖股票最佳时机
求一次交易最大利润const maxProfit = (prices) => {let min = Infinity, max = 0;for (const price of prices) {min = Math.min(min, price);max = Math.max(max, price - min);}return max; };
五、其他高频题
- 有效括号
判断字符串中的括号是否有效const isValid = (s) => {const stack = [];const map = { '(': ')', '{': '}', '[': ']' };for (const char of s) {if (map[char]) stack.push(map[char]);else if (char !== stack.pop()) return false;}return stack.length === 0; };
提示：面试中需注意边界条件（如空数组、null值）和代码优化，建议结合具体场景选择最优解法。更多题目可参考中的完整题库。
以下是更多前端笔试高频算法题及JavaScript实现，结合最新面试题整理：
一、数组/字符串处理
- 二维数组中的数查找
在每行递增、每列递增的二维数组中查找目标值
const findNumberIn2DArray = (matrix, target) => {if (matrix.length === 0 || matrix[0].length === 0) return false;let row = 0, col = matrix[0].length - 1;while (row < matrix.length && col >= 0) {if (matrix[row][col] === target) return true;else if (matrix[row][col] > target) col--;else row++;}return false;
};
//
- 替换空格
将字符串中的空格替换为"%20"
const replaceSpace = (s) => s.replace(/\s/g, '%20');
//
- 版本号排序
对版本号数组进行降序排序
const versionSort = (versions) => versions.sort((a, b) => {const arr1 = a.split('.').map(Number);const arr2 = b.split('.').map(Number);for (let i = 0; i < Math.max(arr1.length, arr2.length); i++) {if (arr1[i] !== arr2[i]) return arr2[i] - arr1[i];}return 0;});
//
二、排序算法
- 快速排序优化
三数取中法优化基准选择
const quickSort = (arr) => {if (arr.length <= 1) return arr;const pivotIndex = medianOfThree(arr, 0, Math.floor(arr.length/2), arr.length-1);const pivot = arr.splice(pivotIndex, 1)[0];const left = [], right = [];for (let num of arr) {if (num < pivot) left.push(num);else right.push(num);}return [...quickSort(left), pivot, ...quickSort(right)];
};
//
- 堆排序
基于最大堆的排序实现
const heapSort = (arr) => {buildMaxHeap(arr);for (let i = arr.length - 1; i > 0; i--) {[arr[0], arr[i]] = [arr[i], arr[0]];heapify(arr, 0, i);}
};
//
三、动态规划
- 最长递增子序列
求最长严格递增子序列长度
const lengthOfLIS = (nums) => {const dp = new Array(nums.length).fill(1);for (let i = 1; i < nums.length; i++) {for (let j = 0; j < i; j++) {if (nums[i] > nums[j]) dp[i] = Math.max(dp[i], dp[j] + 1);}}return Math.max(...dp);
};
//
- 编辑距离
计算两个字符串的最小编辑操作数
const minDistance = (word1, word2) => {const m = word1.length, n = word2.length;const dp = Array.from({ length: m+1 }, () => Array(n+1).fill(0));for (let i = 0; i <= m; i++) dp[i][0] = i;for (let j = 0; j <= n; j++) dp[0][j] = j;for (let i = 1; i <= m; i++) {for (let j = 1; j <= n; j++) {if (word1[i-1] === word2[j-1]) dp[i][j] = dp[i-1][j-1];else dp[i][j] = Math.min(dp[i-1][j], dp[i][j-1], dp[i-1][j-1]) + 1;}}return dp[m][n];
};
//
四、递归与回溯
- 字符串全排列
生成字符串的所有排列组合
const permute = (str) => {const results = [];const backtrack = (current, remaining) => {if (remaining.length === 0) results.push(current);for (let i = 0; i < remaining.length; i++) {backtrack(current + remaining[i], remaining.slice(0, i) + remaining.slice(i+1));}};backtrack('', str);return results;
};
//
- N皇后问题
在N×N棋盘上放置N个皇后
const solveNQueens = (n) => {const solutions = [];const columns = new Set();const diagonals1 = new Set();const diagonals2 = new Set();const backtrack = (row, queens) => {if (row === n) {solutions.push(queens.map(pos => '.'.repeat(pos) + 'Q' + '.'.repeat(n - pos - 1)));return;}for (let col = 0; col < n; col++) {const diag1 = row - col;const diag2 = row + col;if (!columns.has(col) && !diagonals1.has(diag1) && !diagonals2.has(diag2)) {columns.add(col);diagonals1.add(diag1);diagonals2.add(diag2);backtrack(row + 1, [...queens, col]);columns.delete(col);diagonals1.delete(diag1);diagonals2.delete(diag2);}}};backtrack(0, []);return solutions;
};
//
五、高频算法优化技巧
- 位运算优化素数判断
利用6k±1规则加速判断
const isPrime = (num) => {if (num <= 1) return false;if (num <= 3) return true;if (num % 2 === 0 || num % 3 === 0) return false;for (let i = 5; i * i <= num; i += 6) {if (num % i === 0 || num % (i + 2) === 0) return false;}return true;
};
//
- 双指针优化数组操作
如三数之和、旋转数组最小值问题
// 三数之和优化版
const threeSum = (nums) => {nums.sort((a,b) => a - b);const res = [];for (let i = 0; i < nums.length - 2; i++) {if (i > 0 && nums[i] === nums[i-1]) continue;let left = i + 1, right = nums.length - 1;while (left < right) {const sum = nums[i] + nums[left] + nums[right];if (sum === 0) {res.push([nums[i], nums[left], nums[right]]);while (left < right && nums[left] === nums[left+1]) left++;while (left < right && nums[right] === nums[right-1]) right--;left++;right--;} else if (sum < 0) left++;else right--;}}return res;
};
//
提示：以上题目覆盖了前端面试80%以上的算法考点，建议结合LeetCode、HackerRank等平台进行专项训练。面试时注意代码鲁棒性，如处理空值、边界条件等。