📜  计算要激活以覆盖整个花园的最少数量的喷泉

📅  最后修改于: 2021-09-07 04:33:16             🧑  作者: Mango

有一个长度为N的一维花园。在N长花园的每个位置,都安装了一个喷泉。给定一个数组a[] ,使得a[i]描述第i喷泉的覆盖范围。喷泉可以覆盖从位置max(i – a[i], 1)min(i + a[i], N) 的范围。一开始,所有的喷泉都关闭了。任务是找到需要激活的最小数量的喷泉,以便整个N 长的花园都可以被水覆盖。

例子:

方法:该问题可以使用动态规划解决。请按照以下步骤解决问题:

  • 遍历数组,对于每个数组索引,即i喷泉,找到当前喷泉覆盖的最左边的喷泉
  • 然后,找到上一步得到的最左边的喷泉所覆盖的最右边的喷泉,并在dp[]数组中更新。
  • 初始化一个变量cntFount来存储需要激活的最小喷泉数。
  • 现在,遍历dp[]数组并继续激活左侧的喷泉,覆盖当前右侧的最大喷泉,并将cntFount增加1 。最后,打印cntFount作为所需答案。

下面是上述方法的实现。

C++14
// C++ program to implement
// the above approach
 
#include 
using namespace std;
 
// Function to find minimum
// number of fountains to be
// activated
int minCntFoun(int a[], int N)
{
 
    // dp[i]: Stores the position of
    // rightmost fountain that can
    // be covered by water of leftmost
    // fountain of the i-th fountain
    int dp[N];
     
    // initializing all dp[i] values to be -1,
    // so that we don't get garbage value
      for(int i=0;i


Java
// Java program to implement
// the above approach
import java.util.*;
 
class GFG {
 
    // Function to find minimum
    // number of fountains to be
    // activated
    static int minCntFoun(int a[], int N)
    {
 
        // dp[i]: Stores the position of
        // rightmost fountain that can
        // be covered by water of leftmost
        // fountain of the i-th fountain
        int[] dp = new int[N];
        for(int i=0;i


Python3
# Python3 program to implement
# the above appraoch
 
# Function to find minimum
# number of fountains to be
# activated
 
 
def minCntFoun(a, N):
 
    # dp[i]: Stores the position of
    # rightmost fountain that can
    # be covered by water of leftmost
    # fountain of the i-th fountain
    dp = [0] * N
    for i in range(N):
      dp[i] = -1
 
    # Traverse the array
    for i in range(N):
        idxLeft = max(i - a[i], 0)
        idxRight = min(i + (a[i] + 1), N)
        dp[idxLeft] = max(dp[idxLeft],
                          idxRight)
 
    # Stores count of fountains
    # needed to be activated
    cntfount = 1
 
    idxRight = dp[0]
 
    # Stores index of next fountain
    # that needed to be activated
    idxNext = 0
 
    # Traverse dp[] array
    for i in range(N):
        idxNext = max(idxNext,
                      dp[i])
 
        # If left most fountain
        # cover all its range
        if (i == idxRight):
            cntfount += 1
            idxRight = idxNext
 
    return cntfount
 
 
# Driver code
if __name__ == '__main__':
 
    a = [1, 2, 1]
    N = len(a)
 
    print(minCntFoun(a, N))
 
# This code is contributed by Shivam Singh


C#
// C# program to implement
// the above approach
using System;
class GFG {
 
    // Function to find minimum
    // number of fountains to be
    // activated
    static int minCntFoun(int[] a, int N)
    {
        // dp[i]: Stores the position of
        // rightmost fountain that can
        // be covered by water of leftmost
        // fountain of the i-th fountain
        int[] dp = new int[N];
        for (int i = 0; i < N; i++)
        {
            dp[i] = -1;
        }
 
        // Stores index of leftmost
        // fountain in the range of
        // i-th fountain
        int idxLeft;
 
        // Stores index of rightmost
        // fountain in the range of
        // i-th fountain
        int idxRight;
 
        // Traverse the array
        for (int i = 0; i < N; i++) {
            idxLeft = Math.Max(i - a[i], 0);
            idxRight = Math.Min(i + (a[i] + 1),
                                N);
            dp[idxLeft] = Math.Max(dp[idxLeft],
                                   idxRight);
        }
 
        // Stores count of fountains
        // needed to be activated
        int cntfount = 1;
 
        // Stores index of next
        // fountain that needed
        // to be activated
        int idxNext = 0;
        idxRight = dp[0];
 
        // Traverse []dp array
        for (int i = 0; i < N; i++)
        {
            idxNext = Math.Max(idxNext, dp[i]);
 
            // If left most fountain
            // cover all its range
            if (i == idxRight)
            {
                cntfount++;
                idxRight = idxNext;
            }
        }
        return cntfount;
    }
 
    // Driver Code
    public static void Main(String[] args)
    {
        int[] a = { 1, 2, 1 };
        int N = a.Length;
 
        Console.Write(minCntFoun(a, N));
    }
}
 
// This code is contributed by gauravrajput1


Javascript


输出
1

时间复杂度: O(N)
辅助空间: O(N)

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