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    LeetCode 滑动窗口最大值

    /**
     * @param {number[]} nums
     * @param {number} k
     * @return {number[]}
     */
    var maxSlidingWindow = function(nums, k) {
      // slide window
      // nums = [1,3,-1,-3,5,3,6,7], 和 k = 3
      const result = [];
      const len = nums.length;
      for(let i = 0; i < len - k + 1; i++) {
        // copy
        let arr = nums.slice(i, k + i);
        let tempMax = arr.reduce((max, item) => max <= item ? item : max, -1/0);
        result.push(tempMax);
      }
      return result;
    };
    
    

    超出时间限制 bug

    "use strict";
    
    /**
     *
     * @author xgqfrms
     * @license MIT
     * @copyright xgqfrms
     * @created 2020-11-16
     * @modified
     *
     * @description
     * @difficulty Hard
     * @complexity O(n)
     * @augments
     * @example
     * @link https://leetcode.com/problems/sliding-window-maximum/
     * @link https://leetcode-cn.com/problems/sliding-window-maximum/
     * @solutions
     *
     * @best_solutions
     *
     */
    
    const log = console.log;
    
    
    /**
     * @param {number[]} nums
     * @param {number} k
     * @return {number[]}
     */
    var maxSlidingWindow = function(nums, k) {
      // slide window
      // nums = [1,3,-1,-3,5,3,6,7], 和 k = 3
      const result = [];
      const len = nums.length;
      for(let i = 0; i < len - k + 1; i++) {
        // copy
        let arr = nums.slice(i, k + i);
        log(`arr =`, arr, i)
        let tempMax = arr.reduce((max, item) => max <= item ? item : max, -1/0);
        log(`max =`, tempMax)
        result.push(tempMax);
      }
      log(`result =`, result)
      return result;
    };
    
    const nums = [1,3,-1,-3,5,3,6,7], k = 3;
    const test = maxSlidingWindow(nums, k);
    
    // 输出: [3,3,5,5,6,7]
    
    
    /*
    
    https://leetcode-cn.com/submissions/detail/123944499/testcase/
    
    
    超出时间限制
    
    
    */
    
    
    /*
    
    
    提示:
    
    1 <= nums.length <= 10^5
    -10^4 <= nums[i] <= 10^4
    1 <= k <= nums.length
    
    */
    
    
    

    solutions

    递归

    动态规划

    
    
    
    

    refs

    https://leetcode.com/problems/sliding-window-maximum/

    https://leetcode-cn.com/problems/sliding-window-maximum/



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  • 原文地址:https://www.cnblogs.com/xgqfrms/p/13991838.html
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