前端部分算法的实现

本文主要是介绍前端部分算法的实现，对大家解决编程问题具有一定的参考价值，需要的程序猿们随着小编来一起学习吧！

1. 通过快慢指针寻找链表中点

function findCenter(head) {
    let slower = head, faster = head;
    while (faster && faster.next != null) {
        slower = slower.next;
        faster = faster.next.next;
    }
    // 如果 faster 不等于 null，说明是奇数个，slower 再移动一格
    if (faster != null) {
        slower = slower.next;
    }
    return slower;
}

2. 前序遍历判断回文链表

var isPalindrome = function(head) {
    let left = head;
    function traverse(right) {
        if (right == null) return true;
        let res = traverse(right.next);
        res = res && (right.val === left.val);
        left = left.next;
        return res;
    }
    return traverse(head);
};

3.反转链表

/**
 * Definition for singly-linked list.
 * function ListNode(val) {
 *     this.val = val;
 *     this.next = null;
 * }
 */
/**
 * @param {ListNode} head
 * @return {ListNode}
 */
var reverseList = function(head) {
    if (head == null || head.next == null) return head;
    let last = reverseList(head.next);
    head.next.next = head;
    head.next = null;
    return last;
};

4. 合并K个升序链表（困难）

/**
 * Definition for singly-linked list.
 * function ListNode(val) {
 *     this.val = val;
 *     this.next = null;
 * }
 */
/**
 * @param {ListNode[]} lists
 * @return {ListNode}
 */
var mergeKLists = function(lists) {
    if (lists.length === 0) return null;
    return mergeArr(lists);
};
function mergeArr(lists) {
    if (lists.length <= 1) return lists[0];
    let index = Math.floor(lists.length / 2);
    const left = mergeArr(lists.slice(0, index))
    const right = mergeArr(lists.slice(index));
    return merge(left, right);
}
function merge(l1, l2) {
    if (l1 == null && l2 == null) return null;
    if (l1 != null && l2 == null) return l1;
    if (l1 == null && l2 != null) return l2;
    let newHead = null, head = null;
    while (l1 != null && l2 != null) {
        if (l1.val < l2.val) {
            if (!head) {
                newHead = l1;
                head = l1;
            } else {
                newHead.next = l1;
                newHead = newHead.next;
            }
            l1 = l1.next;
        } else {
            if (!head) {
                newHead = l2;
                head = l2;
            } else {
                newHead.next = l2;
                newHead = newHead.next;
            }
            l2 = l2.next;
        }
    }
    newHead.next = l1 ? l1 : l2;
    return head;
}

5. K 个一组翻转链表（困难）

/**
 * Definition for singly-linked list.
 * function ListNode(val) {
 *     this.val = val;
 *     this.next = null;
 * }
 */
/**
 * @param {ListNode} head
 * @param {number} k
 * @return {ListNode}
 */
var reverseKGroup = function(head, k) {
    let a = head, b = head;
    for (let i = 0; i < k; i++) {
        if (b == null) return head;
        b = b.next;
    }
    const newHead = reverse(a, b);
    a.next = reverseKGroup(b, k);
    return newHead;
};
function reverse(a, b) {
    let prev = null, cur = a, nxt = a;
    while (cur != b) {
        nxt = cur.next;
        cur.next = prev;
        prev = cur;
        cur = nxt;
    }
    return prev;
}

5. 环形链表（简单）

/**
 * Definition for singly-linked list.
 * function ListNode(val) {
 *     this.val = val;
 *     this.next = null;
 * }
 */
/**
 * @param {ListNode} head
 * @return {boolean}
 */
var hasCycle = function(head) {
    if (head == null || head.next == null) return false;
    let slower = head, faster = head;
    while (faster != null && faster.next != null) {
        slower = slower.next;
        faster = faster.next.next;
        if (slower === faster) return true;
    }
    return false;
};

6. 排序链表（中等）

/**
 * Definition for singly-linked list.
 * function ListNode(val) {
 *     this.val = val;
 *     this.next = null;
 * }
 */
/**
 * @param {ListNode} head
 * @return {ListNode}
 */
var sortList = function(head) {
    if (head == null) return null;
    let newHead = head;
    return mergeSort(head);
};
function mergeSort(head) {
    if (head.next != null) {
        let slower = getCenter(head);
        let nxt = slower.next;
        slower.next = null;
        console.log(head, slower, nxt);
        const left = mergeSort(head);
        const right = mergeSort(nxt);
        head = merge(left, right);
    }
    return head;
}
function merge(left, right) {
    let newHead = null, head = null;
    while (left != null && right != null) {
        if (left.val < right.val) {
            if (!head) {
                newHead = left;
                head = left;
            } else {
                newHead.next = left;
                newHead = newHead.next;
            }
            left = left.next;
        } else {
            if (!head) {
                newHead = right;
                head = right;
            } else {
                newHead.next = right;
                newHead = newHead.next;
            }
            right = right.next;
        }
    }
    newHead.next = left ? left : right;
    return head;
}
function getCenter(head) {
    let slower = head, faster = head.next;
    while (faster != null && faster.next != null) {
        slower = slower.next;
        faster = faster.next.next;
    }
    return slower;
}

7. 相交链表（简单）

/**
 * Definition for singly-linked list.
 * function ListNode(val) {
 *     this.val = val;
 *     this.next = null;
 * }
 */
/**
 * @param {ListNode} headA
 * @param {ListNode} headB
 * @return {ListNode}
 */
var getIntersectionNode = function(headA, headB) {
    let lastHeadA = null;
    let lastHeadB = null;
    let originHeadA = headA;
    let originHeadB = headB;
    if (!headA || !headB) {
        return null;
    }
    while (true) {
        if (headB == headA) {
            return headB;
        }
        if (headA && headA.next == null) {
            lastHeadA = headA;
            headA = originHeadB;
        } else {
            headA = headA.next;
        }
        if (headB && headB.next == null) {
            lastHeadB = headB
            headB = originHeadA;
        } else {
            headB = headB.next;
        }
        if (lastHeadA && lastHeadB && lastHeadA != lastHeadB) {
            return null;
        }
    }
    return null;
};

8. 最长回文子串（中等）

/**
 * @param {string} s
 * @return {string}
 */
var longestPalindrome = function(s) {
    if (s.length === 1) return s;
    let maxRes = 0, maxStr = '';
    for (let i = 0; i < s.length; i++) {
        let str1 = palindrome(s, i, i);
        let str2 = palindrome(s, i, i + 1);   
        if (str1.length > maxRes) {
            maxStr = str1;
            maxRes = str1.length;
        }
        if (str2.length > maxRes) {
            maxStr = str2;
            maxRes = str2.length;
        }
    }
    return maxStr;
};
function palindrome(s, l, r) {
    while (l >= 0 && r < s.length && s[l] === s[r]) {
        l--;
        r++;
    }
    return s.slice(l + 1, r);
}

9. 最长公共前缀（简单）

/**
 * @param {string[]} strs
 * @return {string}
 */
var longestCommonPrefix = function(strs) {
    if (strs.length === 0) return "";
    let first = strs[0];
    if (first === "") return "";
    let minLen = Number.MAX_SAFE_INTEGER;
    for (let i = 1; i < strs.length; i++) {
        const len = twoStrLongestCommonPrefix(first, strs[i]);
        minLen = Math.min(len, minLen);
    }
    return first.slice(0, minLen);
};
function twoStrLongestCommonPrefix (s, t) {
    let i = 0, j = 0;
    let cnt = 0;
    while (i < s.length && j < t.length) {
        console.log(s[i], t[j], cnt)
        if (s[i] === t[j])  {
            cnt++;
        } else {
            return cnt;
        }
        i++;
        j++;
    }
    return cnt;
}

10. 无重复字符的最长子串（中等））

/**
 * @param {string} s
 * @return {number}
 */
var lengthOfLongestSubstring = function(s) {
  let window = {};
  let left = 0, right = 0;
  let maxLen = 0, maxStr = '';
  while (right < s.length) {
    let c = s[right];
    right++;
    if (window[c]) window[c]++;
    else window[c] = 1
    while (window[c] > 1) {
      let d = s[left];
      left++;
      window[d]--;
    }
    if (maxLen < right - left) {
      maxLen = right - left;
    }
  }
  return maxLen;
};

11. 最小覆盖子串（困难）

/**
 * @param {string} s
 * @param {string} t
 * @return {string}
 */
var minWindow = function(s, t) {
    let need = {}, window = {};
    for (let c of t) {
        if (!need[c]) need[c] = 1;
        else need[c]++;
    }
    let left = 0, right = 0;
    let valid = 0, len = Object.keys(need).length;
    let minLen = s.length + 1, minStr = '';
    while (right < s.length) {
        const d = s[right];
        right++;
        if (!window[d]) window[d] = 1;
        else window[d]++;
        if (need[d] && need[d] === window[d]) {
            valid++;
        }
        console.log('left - right', left, right);
        while (valid === len) {
            if (right - left < minLen) {
                minLen = right - left;
                minStr = s.slice(left, right);
            }
            console.lo
            let c = s[left];
            left++;
            window[c]--;
            if (need[c] && window[c] < need[c]) {
                valid--;
            }
        }
    }
    return minStr;
};

12. 俄罗斯套娃信封问题（困难）

/**
 * @param {number[][]} envelopes
 * @return {number}
 */
var maxEnvelopes = function(envelopes) {
  if (envelopes.length === 1) return 1;
    envelopes.sort((a, b) => {
        if (a[0] !== b[0]) return a[0] - b[0];
        else return b[1] - a[1];
    });
    let LISArr = [];
    for (let [key, value] of envelopes) {
      LISArr.push(value);
    }
    console.log( LISArr);
    return LIS(LISArr);
};
function LIS(arr) {
  let dp = [];
  let maxAns = 0;
  for (let i = 0; i < arr.length; i++) {
    dp[i] = 1;
  }
  for (let i = 1; i < arr.length; i++) {
    for (let j = i; j >= 0; j--) {
      if (arr[i] > arr[j]) {
        dp[i] = Math.max(dp[i], dp[j] + 1)
      }
      maxAns = Math.max(maxAns, dp[i]);
    }
  }
  return maxAns;
}

13. 最长连续递增序列（简单）

/**
 * @param {number[]} nums
 * @return {number}
 */
var findLengthOfLCIS = function(nums) {
    if (nums.length === 0) return 0;
    const n = nums.length;
    let left = 0, right = 1;
    let globalMaxLen = 1, maxLen = 1;
    while (right < n) {
        if (nums[right] > nums[left]) maxLen++;
        else {
            maxLen = 1;
        }
        left++;
        right++;
        globalMaxLen = Math.max(globalMaxLen, maxLen);
    }
    return globalMaxLen;
};

14. 最长连续序列（困难）

/**
 * @param {number[]} nums
 * @return {number}
 */
var longestConsecutive = function(nums) {
    if (nums.length === 0) return 0;
    const set = new Set(nums);
    const n = nums.length;
    let globalLongest = 1;
    for (let i = 0; i < n; i++) {
        if (!set.has(nums[i] - 1)) {
            let longest = 1;
            let currentNum = nums[i];
            while (set.has(currentNum + 1)) {
                currentNum += 1;
                longest++;
            }
            globalLongest = Math.max(globalLongest, longest);
        }
    }
    return globalLongest;
};

15. 盛最多水的容器（中等）

/**
 * @param {number[]} height
 * @return {number}
 */
var maxArea = function(height) {
    let n = height.length;
    let left = 0, right = n - 1;
    let maxOpacity = 0;
    while (left < right) {
        let res = Math.min(height[left], height[right]) * (right - left);
        maxOpacity = Math.max(maxOpacity, res);
        if (height[left] < height[right]) left++
        else right--;
    }
    return maxOpacity;
};

16. 寻找两个正序数组的中位数（困难）

/**
 * @param {number[]} nums1
 * @param {number[]} nums2
 * @return {number}
 */
var findMedianSortedArrays = function(nums1, nums2) {
    let m = nums1.length, n = nums2.length;
    let i = 0, j = 0;
    let newArr = [];
    while (i < m && j < n) {
        if (nums1[i] < nums2[j]) {
            newArr.push(nums1[i++]);
        } else {
            newArr.push(nums2[j++]);
        }
    }
    newArr = newArr.concat(i < m ? nums1.slice(i) : nums2.slice(j));
    const len = newArr.length;
    console.log(newArr)
    if (len % 2 === 0) {
        return (newArr[len / 2] + newArr[len / 2 - 1]) / 2;
    } else {
        return newArr[Math.floor(len / 2)];
    }
};

17. 删除有序数组中的重复项（简单）

/**
 * @param {number[]} nums
 * @return {number}
 */
var removeDuplicates = function(nums) {
  if (nums.length <= 1) return nums.length;
  let lo = 0, hi = 0;
  while (hi < nums.length) {
    while (nums[lo] === nums[hi] && hi < nums.length) hi++;
    if (nums[lo] !== nums[hi] && hi < nums.length) {
      lo++;
      nums[lo] = nums[hi];
    }
    hi++;
  }
  return lo + 1;
};

18. 岛屿的最大面积（中等）

/**
 * @param {number[][]} grid
 * @return {number}
 */
let maxX, maxY;let visited;let globalMaxArea;
var maxAreaOfIsland = function(grid) {
    visited = new Set();
    maxX = grid.length;
    maxY = grid[0].length;
    globalMaxArea = 0;
    for (let i = 0; i < maxX; i++) {
        for (let j = 0; j < maxY; j++) {
            if (grid[i][j] === 1) {
                visited.add(`(${i}, ${j})`);
                globalMaxArea = Math.max(globalMaxArea, dfs(grid, i, j));
            }
            visited.clear();
        }
    }
    return globalMaxArea;
};
function dfs(grid, x, y) {
    let res = 1;
    for (let i = -1; i <= 1; i++) {
        for (let j = -1; j <= 1; j++) {
            if (Math.abs(i) === Math.abs(j)) continue;
            const newX = x + i;
            const newY = y + j;
            if (newX >= maxX || newX < 0 || newY >= maxY || newY < 0) continue;
            if (visited.has(`(${newX}, ${newY})`)) continue;
            visited.add(`(${newX}, ${newY})`);
            const areaCnt = grid[newX][newY]
            if (areaCnt === 1) {
                const cnt = dfs(grid, newX, newY);
                res += cnt;
            } 
        }
    }
    return res;
}

19. 和为K的子数组（中等）

/**
 * @param {number[]} nums
 * @param {number} k
 * @return {number}
 */
var subarraySum = function(nums, k) {
    let cnt = 0;
    let sum0_i = 0, sum0_j = 0;
    let map = new Map();
    map.set(0, 1);
    for (let i = 0; i <= nums.length; i++) {
        sum0_i += nums[i];
        sum0_j = sum0_i - k;
        console.log('map', sum0_j, map.get(sum0_j))
        if (map.has(sum0_j)) {
            cnt += map.get(sum0_j);
        }
        let sumCnt = map.get(sum0_i) || 0;
        map.set(sum0_i, sumCnt + 1);
    }
    return cnt;
};

nSum问题【哈希表】【系列】

1. 两数之和（简单）

/**
 * @param {number[]} nums
 * @param {number} target
 * @return {number[]}
 */
var twoSum = function(nums, target) {
  let map2 = new Map();
  for (let i = 0; i < nums.length; i++) {
    map2.set(nums[i], i);
  }
  for (let i = 0; i < nums.length; i++) {
    if (map2.has(target - nums[i]) && map2.get(target - nums[i]) !== i) return [i, map2.get(target - nums[i])]
  }
};

2. 接雨水（困难）

/**
 * @param {number[]} height
 * @return {number}
 */
var trap = function(height) {
    let l_max = [], r_max = [];
    let len = height.length;
    let maxCapacity = 0;
    for (let i = 0; i < len; i++) {
        l_max[i] = height[i];
        r_max[i] = height[i];
    }
    for (let i = 1; i < len; i++) {
        l_max[i] = Math.max(l_max[i - 1], height[i]);
    }
    for (let j = len - 2; j >= 0; j--) {
        r_max[j] = Math.max(r_max[j + 1], height[j]);
    }
    for (let i = 0; i < len; i++) {
        maxCapacity += Math.min(l_max[i], r_max[i]) - height[i];
    }
    return maxCapacity;
};

跳跃游戏【贪心算法】【系列】

1. 跳跃游戏（中等）

/**
 * @param {number[]} nums
 * @return {boolean}
 */
var canJump = function(nums) {
    let faster = 0;
    for (let i = 0; i < nums.length - 1; i++) {
        faster = Math.max(faster, i + nums[i]);
        if (faster <= i) return false;
    }
    return faster >= nums.length - 1;
};

【二叉树】【系列】

1. 二叉树的最近公共祖先（简单）

/**
 * Definition for a binary tree node.
 * function TreeNode(val) {
 *     this.val = val;
 *     this.left = this.right = null;
 * }
 */
/**
 * @param {TreeNode} root
 * @param {TreeNode} p
 * @param {TreeNode} q
 * @return {TreeNode}
 */
let visited;let parent;
var lowestCommonAncestor = function(root, p, q) {
    visited = new Set();
    parent = new Map();
    dfs(root);
    while (p != null) {
        visited.add(p.val);
        p = parent.get(p.val);
    }
    while (q != null) {
        if (visited.has(q.val)) {
            return q;
        }
        q = parent.get(q.val);
    }
    return null;
};
function dfs(root) {
    if (root.left != null) {
        parent.set(root.left.val, root);
        dfs(root.left);
    }
    if (root.right != null) {
        parent.set(root.right.val, root);
        dfs(root.right);
    }
}

2. 二叉搜索树中的搜索（简单）

/**
 * Definition for a binary tree node.
 * function TreeNode(val) {
 *     this.val = val;
 *     this.left = this.right = null;
 * }
 */
/**
 * @param {TreeNode} root
 * @param {number} val
 * @return {TreeNode}
 */
var searchBST = function(root, val) {
    if (root == null) return null;
    if (root.val === val) return root;
    if (root.val > val) {
        return searchBST(root.left, val);
    } else if (root.val < val) {
        return searchBST(root.right, val);
    }
};

3. 删除二叉搜索树中的节点（中等）

/**
 * Definition for a binary tree node.
 * function TreeNode(val) {
 *     this.val = val;
 *     this.left = this.right = null;
 * }
 */
/**
 * @param {TreeNode} root
 * @param {number} key
 * @return {TreeNode}
 */
var deleteNode = function(root, key) {
    if (root == null) return null;
    if (root.val === key) {
        if (root.left == null && root.right == null) return null;
        if (root.left == null) return root.right;
        if (root.right == null) return root.left;
        if (root.left != null && root.right != null)  {
            let target = getMinTreeMaxNode(root.left);
            root.val = target.val;
            root.left = deleteNode(root.left, target.val);
        }
    }
    if (root.val < key) {
        root.right = deleteNode(root.right, key);
    } else if (root.val > key) {
        root.left = deleteNode(root.left, key);
    }
    return root;
};
function getMinTreeMaxNode(root) {
    if (root.right == null) return root;
    return getMinTreeMaxNode(root.right);
}

4. 完全二叉树的节点个数（中等）

/**
 * Definition for a binary tree node.
 * function TreeNode(val) {
 *     this.val = val;
 *     this.left = this.right = null;
 * }
 */
/**
 * @param {TreeNode} root
 * @return {number}
 */
var countNodes = function(root) {
    if (root == null) return 0;
    let l = root, r = root;
    let lh = 0, rh = 0;
    while (l != null) {
      l = l.left;
      lh++;
    }
    while (r != null) {
      r = r.right;
      rh++;
    }
    if (lh === rh) {
      return Math.pow(2, lh) - 1;
    }
    return 1 + countNodes(root.left) + countNodes(root.right);
};

5. 二叉树的锯齿形层序遍历（中等）

/**
 * Definition for a binary tree node.
 * function TreeNode(val) {
 *     this.val = val;
 *     this.left = this.right = null;
 * }
 */
/**
 * @param {TreeNode} root
 * @return {number[][]}
 */
let res;
var zigzagLevelOrder = function(root) {
    if (root == null) return [];
    res = [];
    BFS(root, true);
    return res;
};
function BFS(root, inOrder) {
    let arr = [];
    let resItem = [];
    let node;
    let stack1 = new Stack();
    let stack2 = new Stack();
    // 判断交换时机
    let flag;
    stack1.push(root);
    res.push([root.val]);
    inOrder = !inOrder;
    while (!stack1.isEmpty() || !stack2.isEmpty()) {
        if (stack1.isEmpty()) {
            flag = 'stack1';
        } else if (stack2.isEmpty()) {
            flag = 'stack2';
        }
        // 决定取那个栈里面的元素
        if (flag === 'stack2' && !stack1.isEmpty()) node = stack1.pop();
        else if (flag === 'stack1' && !stack2.isEmpty()) node = stack2.pop();
        if (inOrder) {
            if (node.left) {
                if (flag === 'stack1') {
                    stack1.push(node.left);
                } else {
                    stack2.push(node.left);
                }
                resItem.push(node.left.val);
            }
            if (node.right) {
                if (flag === 'stack1') {
                    stack1.push(node.right);
                } else {
                    stack2.push(node.right);
                }
                resItem.push(node.right.val);
            }
        } else {
            if (node.right) {
                if (flag === 'stack1') {
                    stack1.push(node.right);
                } else {
                    stack2.push(node.right);
                }
                resItem.push(node.right.val);
            }
            if (node.left) {
                if (flag === 'stack1') {
                    stack1.push(node.left);
                } else {
                    stack2.push(node.left);
                }
                resItem.push(node.left.val);
            }
        }
        // 判断下次翻转的时机
        if ((flag === 'stack2' && stack1.isEmpty()) || (flag === 'stack1' && stack2.isEmpty())) {
            inOrder = !inOrder;
            // 需要翻转了，就加一轮值
            if (resItem.length > 0) {
                res.push(resItem);
            }   
            resItem = [];
        }
    }
}
class Stack {
    constructor() {
        this.count = 0;
        this.items = [];
    }
    push(element) {
        this.items[this.count] = element;
        this.count++;
    }
    pop() {
        if (this.isEmpty()) return undefined;
        const element = this.items[this.count - 1];
        delete this.items[this.count - 1];
        this.count--;
        return element;
    }
    size() {
        return this.count;
    }
    isEmpty() {
        return this.size() === 0;
    }
}

【排序算法】【系列】

1. 用最少数量的箭引爆气球（中等）

/**
 * @param {number[][]} points
 * @return {number}
 */
var findMinArrowShots = function(points) {
    if (points.length === 0) return 0;
    points.sort((a, b) => a[1] - b[1]);
    let cnt = 1;
    let resArr = [points[0]];
    let curr, last;
    for (let i = 1; i < points.length; i++) {
        curr = points[i];
        last = resArr[resArr.length - 1];
        if (curr[0] > last[1]) {
            resArr.push(curr);
            cnt++;
        }
    }
    return cnt;
};

2. 合并区间（中等）

/**
 * @param {number[][]} intervals
 * @return {number[][]}
 */
var merge = function(intervals) {
    if (intervals.length === 0) return [];
    intervals.sort((a, b) => a[0] - b[0]);
    let mergeArr = [intervals[0]];
    let last, curr;
    for (let j = 1; j < intervals.length; j++) {
        last = mergeArr[mergeArr.length - 1];
        curr = intervals[j];
        if (last[1] >= curr[0]) {
            last[1] = Math.max(curr[1], last[1]);
        } else {
            mergeArr.push(curr);
        }
    }
    return mergeArr;
};

【二分查找】

1. 寻找两个正序数组的中位数（困难）

/**
 * @param {number[]} nums1
 * @param {number[]} nums2
 * @return {number}
 */
var findMedianSortedArrays = function(nums1, nums2) {
    let m = nums1.length, n = nums2.length;
    let i = 0, j = 0;
    let newArr = [];
    while (i < m && j < n) {
        if (nums1[i] < nums2[j]) {
            newArr.push(nums1[i++]);
        } else {
            newArr.push(nums2[j++]);
        }
    }
    newArr = newArr.concat(i < m ? nums1.slice(i) : nums2.slice(j));
    const len = newArr.length;
    console.log(newArr)
    if (len % 2 === 0) {
        return (newArr[len / 2] + newArr[len / 2 - 1]) / 2;
    } else {
        return newArr[Math.floor(len / 2)];
    }
};

2. 判断子序列（简单）

/**
 * @param {string} s
 * @param {string} t
 * @return {boolean}
 */
var isSubsequence = function(s, t) {
    let hash = {};
    for (let i = 0; i < t.length; i++) {
        if (!hash[t[i]]) hash[t[i]] = [];
        hash[t[i]].push(i);
    }
    let lastMaxIndex = 0;
    for (let i = 0; i < s.length; i++) {
        if (hash[s[i]]) {
            const index = binarySearch(hash[s[i]], lastMaxIndex);
            console.log('index', index, hash[s[i]]);
            if (index === -1) return false;
            lastMaxIndex = hash[s[i]][index] + 1;
        } else return false;
    }
    return true;
};
function binarySearch(array, targetIndex) {
    let left = 0, right = array.length;
    while (left < right) {
        let mid = left + Math.floor((right - left) / 2);
        if (array[mid] >= targetIndex) {
            right = mid;
        } else if (array[mid] < targetIndex) {
            left = mid + 1;
        }
    }
    if (left >= array.length || array[left] < targetIndex) return -1;
    return left;
}

3. 在排序数组中查找元素的第一个和最后一个位置（中等）

/**
 * @param {number[]} nums
 * @param {number} target
 * @return {number[]}
 */
var searchRange = function(nums, target) {
    const left = leftBound(nums, target);
    const right = rightBound(nums, target);
    return [left, right];
};
function leftBound(nums, target) {
    let left = 0;
    let right = nums.length - 1;
    while (left <= right) {
        let mid = Math.floor(left + (right - left) / 2);
        if (nums[mid] === target) {
            right = mid - 1;
        } else if (nums[mid] < target) {
            left = mid + 1;
        } else if (nums[mid] > target) {
            right = mid - 1;
        }
    }
    if (left >= nums.length || nums[left] !== target) {
        return -1;
    }
    return left;
}
function rightBound(nums, target) {
    let left = 0;
    let right = nums.length - 1;
    while (left <= right) {
        let mid = Math.floor(left + (right - left) / 2);
        if (nums[mid] === target) {
            left = mid + 1;
        } else if (nums[mid] < target) {
            left = mid + 1;
        } else if (nums[mid] > target) {
            right = mid - 1;
        }
    }
    if (right < 0 || nums[right] !== target) {
        return -1;
    }
    return right;
}

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前端部分算法的实现

1. 通过快慢指针寻找链表中点

2. 前序遍历判断回文链表

3.反转链表

4. 合并K个升序链表（困难）

5. K 个一组翻转链表（困难）

5. 环形链表（简单）

6. 排序链表（中等）

7. 相交链表（简单）

8. 最长回文子串（中等）

9. 最长公共前缀（简单）

10. 无重复字符的最长子串（中等））

11. 最小覆盖子串（困难）

12. 俄罗斯套娃信封问题（困难）

13. 最长连续递增序列（简单）

14. 最长连续序列（困难）

15. 盛最多水的容器（中等）

16. 寻找两个正序数组的中位数（困难）

17. 删除有序数组中的重复项（简单）

18. 岛屿的最大面积（中等）

19. 和为K的子数组（中等）

nSum问题【哈希表】【系列】

1. 两数之和（简单）

2. 接雨水（困难）

跳跃游戏【贪心算法】【系列】

1. 跳跃游戏（中等）

【二叉树】【系列】

1. 二叉树的最近公共祖先（简单）

2. 二叉搜索树中的搜索（简单）

3. 删除二叉搜索树中的节点（中等）

4. 完全二叉树的节点个数（中等）

5. 二叉树的锯齿形层序遍历（中等）

【排序算法】【系列】

1. 用最少数量的箭引爆气球（中等）

2. 合并区间（中等）

【 二分查找 】

1. 寻找两个正序数组的中位数（困难）

2. 判断子序列（简单）

3. 在排序数组中查找元素的第一个和最后一个位置（中等）

前端开发

后端开发

移动端开发

数据库

服务器运维

人工智能

区块链

游戏开发

网站运营

大数据/云计算

软件工程

软件/开发工具使用

资讯

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