首页 > 编程语言 >算法:计算盛最多水的容量

算法:计算盛最多水的容量

时间:2022-12-13 10:45:37浏览次数:38  
标签:24 容量 32 62 算法 72 67 最多水 93

题目:
给定一个长度为 n 的整数数组 height 。有 n 条垂线,第 i 条线的两个端点是 (i, 0) 和 (i, height[i]) 。
找出其中的两条线,使得它们与 x 轴共同构成的容器可以容纳最多的水。
返回容器可以储存的最大水量。
说明:你不能倾斜容器。

示例 2
输入:[1,8,6,2,5,4,8,3,7]
输出:49
解释:图中垂直线代表输入数组 [1,8,6,2,5,4,8,3,7]。在此情况下,容器能够容纳水(表示为蓝色部分)的最大值为 49。

示例 2
输入:height = [1,1]
输出:1
提示:
n == height.length`
2 <= n <= 105`
0 <= height[i] <= 104`

解题思路:
初始化数组两边指针,i(0)和j(数组长度-1),res(容积)
从两边开始,较短的一边指针往内移动一次,直到两个指针西相遇退出循环
计算体积公司,两个指针较矮的高度,乘以宽度即将
L = (j-i)*Math.min(height[i],height[j])
public class Solution {
    public static void main(String[] args) {
        Solution solution = new Solution();
        int[] a = new int[]{17,84,58,48,40,91,54,35,97,17,40,59,57,61,23,15,68,93,72,2,34,66,36,26,25,2,83,20,27,41,44,96,25,2,45,17,45,51,52,42,68,92,54,77,5,29,93,73,23,17,75,57,83,12,36,60,66,71,33,45,12,77,41,89,80,38,6,25,41,10,20,61,2,74,39,7,3,32,33,78,1,60,88,84,24,24,96,42,95,29,39,59,7,81,48,39,71,6,16,13,16,36,26,70,62,65,29,18,49,14,96,50,75,84,86,51,60,83,94,55,64,33,14,23,66,14,62,90,72,31,55,88,19,81,10,82,47,40,0,48,54,48,99,81,33,85,33,93,20,27,1,85,12,67,8,79,82,23,21,6,54,76,95,73,57,5,7,56,97,7,5,52,56,4,85,41,41,18,86,14,97,87,99,10,55,59,41,89,82,62,95,88,38,42,14,47,0,21,4,97,81,9,1,89,65,87,82,6,5,68,20,55,56,71,65,63,31,58,4,65,72,51,6,62,94,72,9,94,45,13,91,26,74,45,67,39,32,1,98,89,70,70,44,78,42,61,93,25,71,97,42,43,48,48,5,94,72,67,88,18,32,32,96,7,77,64,98,61,65,48,2,87,19,47,17,13,60,10,38,32,7,32,27,8,81,33,2,5,52,43,23,84,27,20,43,56,36,94,17,53,42,19,41,61,18,58,74,79,21,64,63,80,97,90,88,30,75,43,35,27,86,59,64,65,31,59,21,67,53,38,20,96,9,61,9,80,72,36,11,93,52,74,73,49,16,14,31,92,57,67,71,95,78,87,60,9,47,33,76,52,23,48,0,32,62,62,64,34,98,75,79,50,1,4,52,18,18,83,62,27,2,85,22,32,25,34,93,24,67,21,76,90,70,29,75,32,91,39,18,41,67,97,43,68,1,95,38,20,31,0,99,85,38,74,70,63,8,63,39,28,85,15,70,7,96,97,39,87,37,9,80,56,6,24,24,7,71,15,79,2,67,79,40,5,53,10,20,13,73,59,93,10,27,64,17,23,13,8,63,2,17,43,58,75,67,35,35,91,50,66,93,17,97,85,75,2,95,95,16,21,7,61,31,34,77,1,9,91,61,72,93,31,16,52,6,35,87,93,26,37,60,72,6,57,57,81,60,5,77,28,26,36,89,57,70,67,10,79,58,72,4,3,3,72,55,61,7,94,55,86,83,15,10,90,24,19,71,84,24,0,12,50,36,54,60,58,73,70,90,83,94,94,86,97,66,94,11,25,88,66,63,72,81,73,62,5,45,85,42,69,38,6,20,26,60,32,85,85,2,27,68,97,73,7,46,91,1,57,68,89,23,32,61,56,57,75,14,2,13,8,24,51,14,44,77,27,76,14,12,30,93,33,79,66,40,26,9,41,83,78,82,59,62,96,67,71,71,33,26,36,41,50,87,56,46,17,35,74,83,99,4,77,84,84,95,24,62,5,17,45,35,0,56,97,96,24,20,19,57,46,56,51,96,95,59,94,12,94,68,48,45,73,77,30,9,72,54,71,29,24,68,16,24,77,65,72,53,86,43,10,32,99,13,81,47,72,75,11,66,44,59,12,69,36,42,30,61,48,53,90,24,73,59,0,50,24,72,3,10,68,66,43,19,79,76,66,52,51,78,70,47,89,34,68,26,28,98,39,77,3,29,53,77,40,54,79,65,26,35,75,46,53,70,66,32,46,32,36,50,62,59,49,52,93,18,30,74,68,69,3,72,50,56,1,91,10,80,56,89,67,31,35,20,54,1,5,52,34,41,2,48,52,52,0,98,22,30,72,42,51,75,14,2,31,67,93,94,0,1,83,67,32,18,88,38,20,93,91,6,86,93,54,39,97,7,89,71,89,61,14,41,88,80,43,71,0,88,65,0,89,48,67,73,67,55,12,39,48,3,45,87,48,51,26,98,58,15,21,48,28,35,89,16,68,84,87,68,24,5,68,13,53,87,38,20,43,2,11,43,57,56,30,58,8,8,56,18,75,29,66,55,65,7,71,85,43,11,5,67,16,73,32,21,12,23,42,7,25,5,3,35,62,85,93,22,94,1,40,21,30,59,77,47,18,0,32,62,63,37,81,79,62,66,1,27,89,95,34,66,0,37,1,14,23,94,88,69,95,29,90,26,40,67,25,58,20,58,72,83,47,6,15,62,72,16,89,13,63,23,79,15,61,33,30,36,27,18,5,75,99,95,53,91,15,78,50,35,88,74,70,36,32,85,50,4,1,39,69,16,14};
        System.out.println(solution.maxArea(a));
    }

    public int maxArea(int[] height) {
        int i = 0, j = height.length-1,res = 0;
        while(i<j){//i==j退出循环
            res = height[i] < height[j]?
                Math.max(res,(j-i)*height[i++])//i++表示指针height[i]赋值计算体积后,要往右边移动
                :
                Math.max(res,(j-i)*height[j--]);//j--表示指针height[j]赋值计算体积后,要往左边移动
        }
        return res;
    }
}
正确性证明:
若暴力枚举,水槽两板围成面积 S(i,j)S(i, j)S(i,j) 的状态总数为 C(n,2)C(n, 2)C(n,2) 。
假设状态 S(i,j)S(i, j)S(i,j) 下 h[i]<h[j]h[i] < h[j]h[i]<h[j] ,在向内移动短板至 S(i+1,j)S(i + 1, j)S(i+1,j) ,则相当于消去了 S(i,j−1),S(i,j−2),...,S(i,i+1){S(i, j - 1), S(i, j - 2), ... , S(i, i + 1)}S(i,j−1),S(i,j−2),...,S(i,i+1) 状态集合。而所有消去状态的面积一定都小于当前面积(即 <S(i,j)< S(i, j)<S(i,j)),因为这些状态:
短板高度:相比 S(i,j)S(i, j)S(i,j) 相同或更短(即 ≤h[i]\leq h[i]≤h[i] );
底边宽度:相比 S(i,j)S(i, j)S(i,j) 更短;
因此,每轮向内移动短板,所有消去的状态都 不会导致面积最大值丢失 ,证毕。

题目参考Leetcode,仅供学习分享

 



标签:24,容量,32,62,算法,72,67,最多水,93
From: https://www.cnblogs.com/itzkd/p/16977869.html

相关文章

  • 限流算法
    1.为什么要限流系统上游流量未知,如果超载引起雪崩。系统下游吞吐能力一般,直连带宽有限。2.常见的几种限流算法 1.计数器限流  在一段时间间隔内,对请求进行......
  • 一文带你入木三分地理解字符串KMP算法(next指针解法)
    1.KMP算法简介温馨提示:在通篇阅读完并理解后再看简介效果更佳以下简介由百度百科提供https://baike.baidu.com/item/KMP%E7%AE%97%E6%B3%95/10951804:KMP算法是一种改......
  • 算法第五章
    1.1对于该题样例n=3,m=3,解空间为(1,1,1),(1,1,2),(1,1,3),(1,2,1),(1,2,2),(1,2,3),(1,3,1),(1,3,2),(1,3,3)(2,1,1),(2,1,2),(2,1,3......
  • Java实现LRU算法
    文章目录1、内存空间有限,当缓存满的时候,如何淘汰缓存?2、实现LRUdemo使用Java容器LinkedHashMap哈希表(HashMap)+双向链表 1、内存空间有限,当缓存满的时候,如何淘汰缓......
  • 【数据结构-树】二叉树的相关算法
    目录1计算二叉树中双分支结点的个数2交换二叉树中所有左右子树3求先序遍历第k个元素4删去值为x的子树5计算二叉树的带权路径长度(WPL)6将表达式树转化为等价的中缀......
  • 温州大学《深度学习》课程课件(六、优化算法)
    这学期我上的另一门课是本科生的《深度学习》,主要用的是吴恩达老师的《深度学习》视频课的内容。使用教材:吴恩达《深度学习》课程笔记课外参考书:《深度学习》,人民邮电出版社......
  • 基础算法学习笔记
    #笔记-基础算法快速排序将序列按从小到大或从大到小顺序排序。时间复杂度\(O(nlogn)\),不稳定。步骤确定分界点\(x\):\(q[l]\)、\(q[(l+r)\div2]\),\(q[r]\)、\(......
  • 算法基础课
    给定一个字符串SS,以及一个模式串PP,所有字符串中只包含大小写英文字母以及阿拉伯数字。模式串PP在字符串SS中多次作为子串出现。求出模式串PP在字符串SS中所有......
  • C语言 (数据结构)在顺序表中用二分查找和冒泡排序算法
    main.c:#include<stdio.h>#include<stdlib.h>#include"SequenceList.h"intmain(){//创建顺序表和指针SequenceListSL,*P_SL;intchoice=0;......
  • 优先队列算法
    publicclassBinaryHeap<AnyTypeextendsComparable<?superAnyType>>{privatestaticfinalintDEFAULT_CAPACITY=10;privateintcurrentSize;privat......