• leetcode 42 接雨水 左右逢源


      JAVA 暴力解法,这一步是比较难的,该思路我称之为左右逢源。视角放在局部,每个元素对应的结果与左右所有元素相关:

        public final int trap(int[] height) {
            int re = 0, len = height.length;
            for (int i = 1; i < len - 1; i++) {
                int maxLeft = 0, maxRight = 0;
                for (int j = i; j >= 0; j--) maxLeft = Math.max(height[j], maxLeft);
                for (int j = i; j < len; j++) maxRight = Math.max(height[j], maxRight);
                re += Math.min(maxLeft, maxRight) - height[i];
            }
            return re;
        }

      暴力解法有思路后,很容易看出计算过程中的重复计算部分,进行缓存:

        public final int trap(int[] height) {
            int re = 0, len = height.length;
            int[][] cache = new int[len][2];
            for (int i = 1; i < len - 1; i++) {
                int maxLeft = 0, maxRight = 0;
                if (cache[i - 1][0] > 0) maxLeft = Math.max(cache[i - 1][0], height[i]);
                else for (int j = i; j >= 0; j--) maxLeft = Math.max(height[j], maxLeft);
                if (cache[i + 1][1] > 0) maxRight = Math.max(cache[i + 1][1], height[i]);
                else for (int j = i; j < len; j++) maxRight = Math.max(height[j], maxRight);
                cache[i] = new int[]{maxLeft, maxRight};
                re += Math.min(maxLeft, maxRight) - height[i];
            }
            return re;
        }

      随着计算过程发现,左侧缓存被充分利用起来了,但右边并没有进行缓存。

      在计算过程中顺便缓存,注定只能缓存一边。索性将缓存的建立拿到计算过程外面,提前缓存,计算时查表:

        public final int trap(int[] height) {
            int re = 0, len = height.length;
            if (len == 0) return 0;
            int[] maxLefts = new int[len], maxRights = new int[len];
            maxLefts[0] = height[0];
            maxRights[len - 1] = height[len - 1];
            for (int i = 1; i < len; i++) maxLefts[i] = Math.max(maxLefts[i - 1], height[i]);
            for (int i = len - 2; i >= 0; i--) maxRights[i] = Math.max(maxRights[i + 1], height[i]);
            for (int i = 1; i < len - 1; i++) re += Math.min(maxLefts[i], maxRights[i]) - height[i];
            return re;
        }

      JS:

    /**
     * @param {number[]} height
     * @return {number}
     */
    var trap = function (height) {
        if (!height || height.length == 0) return 0;
        let re = 0, len = height.length, maxLefts = new Array(len), maxRights = new Array(len), last = len - 1;
        maxLefts[0] = height[0];
        maxRights[last] = height[last];
        for (let i = 1; i < len; i++) maxLefts[i] = Math.max(maxLefts[i - 1], height[i]);
        for (let i = last - 1; i >= 0; i--) maxRights[i] = Math.max(maxRights[i + 1], height[i]);
        for (let i = 1; i < last; i++) re += Math.min(maxLefts[i], maxRights[i]) - height[i];
        return re;
    };
    当你看清人们的真相,于是你知道了,你可以忍受孤独
  • 相关阅读:
    解决跨域之服务器代理http-proxy-middleware模块
    npm、yarn、nrm包管理工具
    nodeJS基础
    gulp自动化构建工具应用
    六种继承方式
    七种去重的方法
    初识模块化
    针对PHP网站攻击的几种方式
    oracle备份恢复(dmp文件)
    nginx.conf中文详解
  • 原文地址:https://www.cnblogs.com/niuyourou/p/14287821.html
Copyright © 2020-2023  润新知