本文概述
- C ++
- Java
- Python3
- C#
例子:
输入:arr [] = {1, 1}方法:本文将讨论一种具有O(N)时间复杂度的方法来解决给定的问题。
输出:6
所有可能的子集:
a){}:0该子集的所有可能子集将为{}, 总和= 0
b){1}:1所有可能的子集该子集的{}和{1}, 总和= 0 + 1 = 1
c){1}:1此子集的所有可能子集将是{}和{1}, 总和= 0 + 1 = 1
d){1, 1}:4该子集的所有可能子集将是{}, {1}, {1}和{1, 1}, 总和= 0 +1 + 1 + 2 = 4因此, ans = 0 +1 + 1 + 4 = 6
输入:arr [] = {1, 4, 2, 12}
输出:513
关键是观察元素在所有子集中重复的次数。
让我们把视野放大。已知每个元素在子集的和中出现2^(N - 1)次。现在,让我们进一步放大视图,看看计数如何随子集大小而变化。
对于包含它的每个索引,有N - 1CK - 1个大小为K的子集。
一个元素对大小为K的子集的贡献等于2^(K - 1)乘以它的值。因此,一个元素对所有长度为K的子集的总贡献将等于N - 1CK - 1 * 2^(K - 1)
【数组所有子集的子集总和|O(N)】所有子集之间的总贡献将等于:
N – 1CN – 1 * 2(N – 1)+ N – 1CN – 2 * 2(N – 2 + N – 1CN – 3 * 2(N – 3)+…+ N – 1C0 * 20。现在, 最终答案中每个元素的贡献是已知的。因此, 将其乘以数组所有元素的总和即可得出所需的答案。
下面是上述方法的实现:
C ++
//C++ implementation of the approach
#include <
bits/stdc++.h>
using namespace std;
#define maxN 10//To store factorial values
int fact[maxN];
//Function to return ncr
int ncr( int n, int r)
{
return (fact[n] /fact[r]) /fact[n - r];
}//Function to return the required sum
int findSum( int * arr, int n)
{
//Intialising factorial
fact[0] = 1;
for ( int i = 1;
i <
n;
i++)
fact[i] = i * fact[i - 1];
//Multiplier
int mul = 0;
//Finding the value of multipler
//according to the formula
for ( int i = 0;
i <
= n - 1;
i++)
mul += ( int ) pow (2, i) * ncr(n - 1, i);
//To store the final answer
int ans = 0;
//Calculate the final answer
for ( int i = 0;
i <
n;
i++)
ans += mul * arr[i];
return ans;
}//Driver code
int main()
{
int arr[] = { 1, 1 };
int n = sizeof (arr) /sizeof ( int );
cout <
<
findSum(arr, n);
return 0;
}
Java
//Java implementation of the approach
class GFG
{
static int maxN = 10 ;
//To store factorial values
static int []fact = new int [maxN];
//Function to return ncr
static int ncr( int n, int r)
{
return (fact[n] /fact[r]) /fact[n - r];
}//Function to return the required sum
static int findSum( int [] arr, int n)
{
//Intialising factorial
fact[ 0 ] = 1 ;
for ( int i = 1 ;
i <
n;
i++)
fact[i] = i * fact[i - 1 ];
//Multiplier
int mul = 0 ;
//Finding the value of multipler
//according to the formula
for ( int i = 0 ;
i <
= n - 1 ;
i++)
mul += ( int )Math.pow( 2 , i) * ncr(n - 1 , i);
//To store the final answer
int ans = 0 ;
//Calculate the final answer
for ( int i = 0 ;
i <
n;
i++)
ans += mul * arr[i];
return ans;
}//Driver code
public static void main(String []args)
{
int arr[] = { 1 , 1 };
int n = arr.length;
System.out.println(findSum(arr, n));
}
}//This code is contributed by Rajput-Ji
Python3
# Python3 implementation of the approach
maxN = 10# To store factorial values
fact = [ 0 ] * maxN;
# Function to return ncr
def ncr(n, r) : return (fact[n] //fact[r]) //fact[n - r];
# Function to return the required sum
def findSum(arr, n) : # Intialising factorial
fact[ 0 ] = 1 ;
for i in range ( 1 , n) :
fact[i] = i * fact[i - 1 ];
# Multiplier
mul = 0 ;
# Finding the value of multipler
# according to the formula
for i in range (n) :
mul + = ( 2 * * i) * ncr(n - 1 , i);
# To store the final answer
ans = 0 ;
# Calculate the final answer
for i in range (n) :
ans + = mul * arr[i];
return ans;
# Driver code
if __name__ = = "__main__" : arr = [ 1 , 1 ];
n = len (arr);
print (findSum(arr, n));
# This code is contributed by AnkitRai01
C#
//C# implementation of the approach
using System;
class GFG
{
static int maxN = 10;
//To store factorial values
static int []fact = new int [maxN];
//Function to return ncr
static int ncr( int n, int r)
{
return (fact[n] /fact[r]) /fact[n - r];
}//Function to return the required sum
static int findSum( int [] arr, int n)
{
//Intialising factorial
fact[0] = 1;
for ( int i = 1;
i <
n;
i++)
fact[i] = i * fact[i - 1];
//Multiplier
int mul = 0;
//Finding the value of multipler
//according to the formula
for ( int i = 0;
i <
= n - 1;
i++)
mul += ( int )Math.Pow(2, i) * ncr(n - 1, i);
//To store the final answer
int ans = 0;
//Calculate the final answer
for ( int i = 0;
i <
n;
i++)
ans += mul * arr[i];
return ans;
}//Driver code
public static void Main(String []args)
{
int []arr = { 1, 1 };
int n = arr.Length;
Console.WriteLine(findSum(arr, n));
}
}//This code is contributed by 29AjayKumar
输出如下:
6
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