📜  达到每个给定分数所需的最少工作日数

📅  最后修改于: 2021-09-06 06:37:35             🧑  作者: Mango

给定的阵列ARR []N个整数的和阵列P []包括M的整数,使得P [i]表示i工作所获得的分数。任务是为每个数组元素arr[i]找到至少达到arr[i]分数所需的最少工作天数。

例子:

朴素的方法:解决问题的最简单的方法是遍历数组arr[]并且对于每个数组,元素找到数组P[]的最小索引,使得[0, i]范围内的子数组之和为至少 arr[i]

时间复杂度: O(N 2 )
辅助空间: O(1)

高效的方法:可以通过找到P[]的前缀和数组,然后使用二分搜索找到其值至少为 arr[i]的和来优化上述方法。请按照以下步骤解决问题:

  • 找到数组P[]的前缀和数组。
  • 遍历给定的数组arr[]并执行以下步骤:
    • 在数组P[] 中找到大于当前元素arr[i]的第一个元素的索引,并将其存储在一个变量中,比如index
    • 如果索引的值为-1 ,则打印-1 。否则,打印(index + 1) 的值作为当前索引的结果。

下面是上述方法的实现:

C++
// C++ program for the above approach
#include 
using namespace std;
 
// Function to find the lower bound
// of N using binary search
int binarySeach(vector P, int N)
{
     
    // Stores the lower bound
    int i = 0;
 
    // Stores the upper bound
    int j = P.size() - 1;
 
    // Stores the minimum index
    // having value is at least N
    int index = -1;
 
    // Iterater while i<=j
    while (i <= j)
    {
         
        // Stores the mid index
        // of the range [i, j]
        int mid = i + (j - i) / 2;
 
        // If P[mid] is at least N
        if (P[mid] >= N)
        {
             
            // Update the value of
            // mid to index
            index = mid;
 
            // Update the value of j
            j = mid - 1;
        }
 
        // Update the value of i
        else
        {
            i = mid + 1;
        }
    }
 
    // Return the resultant index
    return index;
}
 
// Function to find the minimum number
// of days required to work to at least
// arr[i] points for every array element
void minDays(vector P, vector arr)
{
     
    // Traverse the array P[]
    for(int i = 1; i < P.size(); i++)
    {
         
        // Find the prefix sum
        P[i] += P[i] + P[i - 1];
    }
 
    // Traverse the array arr[]
    for(int i = 0; i < arr.size(); i++)
    {
         
        // Find the minimum index of
        // the array having value
        // at least arr[i]
        int index = binarySeach(P, arr[i]);
 
        // If the index is not -1
        if (index != -1)
        {
            cout << index + 1 << " ";
        }
 
        // Otherwise
        else
        {
            cout << -1 << " ";
        }
    }
}
 
// Driver Code
int main()
{
    vector arr = { 400, 200, 700, 900, 1400 };
    vector P = { 100, 300, 400, 500, 600 };
    minDays(P, arr);
     
    return 0;
}
 
// This code is contributed by nirajgusain5


Java
// Java program for the above approach
 
public class GFG {
 
    // Function to find the minimum number
    // of days required to work to at least
    // arr[i] points for every array element
    static void minDays(int[] P, int[] arr)
    {
        // Traverse the array P[]
        for (int i = 1; i < P.length; i++) {
 
            // Find the prefix sum
            P[i] += P[i] + P[i - 1];
        }
 
        // Traverse the array arr[]
        for (int i = 0;
             i < arr.length; i++) {
 
            // Find the minimum index of
            // the array having value
            // at least arr[i]
            int index = binarySeach(
                P, arr[i]);
 
            // If the index is not -1
            if (index != -1) {
                System.out.print(
                    index + 1 + " ");
            }
 
            // Otherwise
            else {
                System.out.print(
                    -1 + " ");
            }
        }
    }
 
    // Function to find the lower bound
    // of N using binary search
    static int binarySeach(
        int[] P, int N)
    {
        // Stores the lower bound
        int i = 0;
 
        // Stores the upper bound
        int j = P.length - 1;
 
        // Stores the minimum index
        // having value is at least N
        int index = -1;
 
        // Iterater while i<=j
        while (i <= j) {
 
            // Stores the mid index
            // of the range [i, j]
            int mid = i + (j - i) / 2;
 
            // If P[mid] is at least N
            if (P[mid] >= N) {
 
                // Update the value of
                // mid to index
                index = mid;
 
                // Update the value of j
                j = mid - 1;
            }
 
            // Update the value of i
            else {
                i = mid + 1;
            }
        }
 
        // Return the resultant index
        return index;
    }
 
    // Driver Code
    public static void main(String[] args)
    {
        int[] arr = { 400, 200, 700, 900, 1400 };
        int[] P = { 100, 300, 400, 500, 600 };
        minDays(P, arr);
    }
}


Python3
# Python3 program for the above approach
 
# Function to find the minimum number
# of days required to work to at least
# arr[i] points for every array element
def minDays(P, arr):
 
    # Traverse the array P[]
    for i in range(1, len(P)):
       
        # Find the prefix sum
        P[i] += P[i] + P[i - 1]
 
    # Traverse the array arr[]
    for i in range(len(arr)):
       
        # Find the minimum index of
        # the array having value
        # at least arr[i]
        index = binarySeach(P, arr[i])
 
        # If the index is not -1
        if (index != -1):
            print(index + 1, end = " ")
        # Otherwise
        else:
            print(-1, end = " ")
 
# Function to find the lower bound
# of N using binary search
def binarySeach(P, N):
 
    # Stores the lower bound
    i = 0
 
    # Stores the upper bound
    j = len(P) - 1
 
    # Stores the minimum index
    # having value is at least N
    index = -1
 
    # Iterater while i<=j
    while (i <= j):
 
        # Stores the mid index
        # of the range [i, j]
        mid = i + (j - i) // 2
 
        # If P[mid] is at least N
        if (P[mid] >= N):
 
            # Update the value of
            # mid to index
            index = mid
 
            # Update the value of j
            j = mid - 1
 
        # Update the value of i
        else:
            i = mid + 1
 
    # Return the resultant index
    return index
 
    # Driver Code
if __name__ == '__main__':
    arr = [400, 200, 700,900,1400 ]
    P =  [100, 300, 400, 500, 600 ]
    minDays(P, arr)
 
# This code is contributed by mohit kumar 29.


C#
// C# program for the above approach
using System;
 
class GFG{
     
// Function to find the minimum number
// of days required to work to at least
// arr[i] points for every array element
static void minDays(int[] P, int[] arr)
{
     
    // Traverse the array P[]
    for(int i = 1; i < P.Length; i++)
    {
         
        // Find the prefix sum
        P[i] += P[i] + P[i - 1];
    }
     
    // Traverse the array arr[]
    for(int i = 0; i < arr.Length; i++)
    {
         
        // Find the minimum index of
        // the array having value
        // at least arr[i]
        int index = binarySeach(P, arr[i]);
         
        // If the index is not -1
        if (index != -1)
        {
            Console.Write(index + 1 + " ");
        }
         
        // Otherwise
        else
        {
            Console.Write(-1 + " ");
        }
    }
}
 
// Function to find the lower bound
// of N using binary search
static int binarySeach(int[] P, int N)
{
     
    // Stores the lower bound
    int i = 0;
     
    // Stores the upper bound
    int j = P.Length - 1;
     
    // Stores the minimum index
    // having value is at least N
    int index = -1;
     
    // Iterater while i<=j
    while (i <= j)
    {
         
        // Stores the mid index
        // of the range [i, j]
        int mid = i + (j - i) / 2;
         
        // If P[mid] is at least N
        if (P[mid] >= N)
        {
             
            // Update the value of
            // mid to index
            index = mid;
             
            // Update the value of j
            j = mid - 1;
        }
         
        // Update the value of i
        else
        {
            i = mid + 1;
        }
    }
     
    // Return the resultant index
    return index;
}
 
// Driver Code
public static void Main(string[] args)
{
    int[] arr = { 400, 200, 700, 900, 1400 };
    int[] P = { 100, 300, 400, 500, 600 };
     
    minDays(P, arr);
}
}
     
// This code is contributed by ukasp


Javascript


输出:
2 2 2 3 3

时间复杂度: O(N*log N)
辅助空间: O(1)

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