给定一个整数k和一个整数数组arr ,任务是找到数组中k 个最小素数和k 个最大素数的和和积。
假设数组中至少有k 个素数。
例子:
Input: arr[] = {2, 5, 6, 8, 10, 11}, k = 2
Output: Sum of k-minimum prime numbers is 7
Sum of k-maximum prime numbers is 16
Product of k-minimum prime numbers is 10
Product of k-maximum prime numbers is 55
{2, 5, 11} are the only prime numbers from the array. {2, 5} are the 2 smallest and {5, 11} are the 2 largest among them.
Input: arr[] = {4, 2, 12, 13, 5, 19}, k = 3
Output: Sum of k-minimum prime numbers is 20
Sum of k-maximum prime numbers is 37
Product of k-minimum prime numbers is 130
Product of k-maximum prime numbers is 1235
方法:
- 使用埃拉托色尼筛法生成一个布尔向量,其大小为数组中最大元素的大小,可用于检查数字是否为素数。
- 还将0和1设置为非素数,这样它们就不会被算作素数。
- 现在遍历数组并将所有质数插入两个堆中,一个最小堆和一个最大堆。
- 现在,从最小堆中弹出前k 个元素,并取最小k 个素数的和和乘积。
- 对最大堆做同样的事情,得到最大k 个素数的和和乘积。
- 最后,打印结果。
下面是上述方法的实现:
C++
// C++ program to find the sum
// and product of k smallest and
// k largest prime numbers in an array
#include
using namespace std;
vector SieveOfEratosthenes(int max_val)
{
// Create a boolean vector "prime[0..n]". A
// value in prime[i] will finally be false
// if i is Not a prime, else true.
vector prime(max_val + 1, true);
for (int p = 2; p * p <= max_val; p++) {
// If prime[p] is not changed, then
// it is a prime
if (prime[p] == true) {
// Update all multiples of p
for (int i = p * 2; i <= max_val; i += p)
prime[i] = false;
}
}
return prime;
}
// Function that calculates the sum
// and product of k smallest and k
// largest prime numbers in an array
void primeSumAndProduct(int arr[], int n, int k)
{
// Find maximum value in the array
int max_val = *max_element(arr, arr + n);
// Use sieve to find all prime numbers
// less than or equal to max_val
vector prime = SieveOfEratosthenes(max_val);
// Set 0 and 1 as non-primes as
// they don't need to be
// counted as prime numbers
prime[0] = false;
prime[1] = false;
// Max Heap to store all the prime numbers
priority_queue maxHeap;
// Min Heap to store all the prime numbers
priority_queue, greater>
minHeap;
// Push all the prime numbers
// from the array to the heaps
for (int i = 0; i < n; i++)
if (prime[arr[i]]) {
minHeap.push(arr[i]);
maxHeap.push(arr[i]);
}
long long int minProduct = 1
, maxProduct = 1
, minSum = 0
, maxSum = 0;
while (k--) {
// Calculate the products
minProduct *= minHeap.top();
maxProduct *= maxHeap.top();
// Calculate the sum
minSum += minHeap.top();
maxSum += maxHeap.top();
// Pop the current minimum element
minHeap.pop();
// Pop the current maximum element
maxHeap.pop();
}
cout << "Sum of k-minimum prime numbers is "
<< minSum << "\n";
cout << "Sum of k-maximum prime numbers is "
<< maxSum << "\n";
cout << "Product of k-minimum prime numbers is "
<< minProduct << "\n";
cout << "Product of k-maximum prime numbers is "
<< maxProduct;
}
// Driver code
int main()
{
int arr[] = { 4, 2, 12, 13, 5, 19 };
int n = sizeof(arr) / sizeof(arr[0]);
int k = 3;
primeSumAndProduct(arr, n, k);
return 0;
}
Java
// Java program to find the sum
// and product of k smallest and
// k largest prime numbers in an array
import java.util.*;
class GFG
{
public static void main(String[] args)
{
int arr[] = { 4, 2, 12, 13, 5, 19 };
int n = arr.length;
int k = 3;
primeSumAndProduct(arr, n, k);
}
static boolean[] SieveOfEratosthenes(int max_val)
{
// Create a boolean vector "prime[0..n]". A
// value in prime[i] will finally be false
// if i is Not a prime, else true.
boolean[] prime = new boolean[max_val + 1];
for(int i = 0;i <= max_val ; i++)
prime[i] = true;
for (int p = 2; p * p <= max_val; p++)
{
// If prime[p] is not changed, then
// it is a prime
if (prime[p] == true)
{
// Update all multiples of p
for (int i = p * 2; i <= max_val; i += p)
prime[i] = false;
}
}
return prime;
}
// Function that calculates the sum
// and product of k smallest and k
// largest prime numbers in an array
static void primeSumAndProduct(int arr[], int n, int k)
{
// Find maximum value in the array
int max_val = 0;
for (int i = 0; i < n; i++)
max_val = Math.max(max_val, arr[i]);
// Use sieve to find all prime numbers
// less than or equal to max_val
boolean[] prime = SieveOfEratosthenes(max_val);
// Set 0 and 1 as non-primes as
// they don't need to be
// counted as prime numbers
prime[0] = false;
prime[1] = false;
// Max Heap to store all the prime numbers
PriorityQueue maxHeap = new PriorityQueue(Collections.reverseOrder());
// Min Heap to store all the prime numbers
PriorityQueue minHeap = new PriorityQueue();
// Push all the prime numbers
// from the array to the heaps
for (int i = 0; i < n; i++)
if (prime[arr[i]]) {
minHeap.add(arr[i]);
maxHeap.add(arr[i]);
}
long minProduct = 1, maxProduct = 1, minSum = 0, maxSum = 0;
while (k > 0)
{
k--;
// Calculate the products
minProduct *= minHeap.peek();
maxProduct *= maxHeap.peek();
// Calculate the sum
minSum += minHeap.peek();
maxSum += maxHeap.peek();
// Pop the current minimum element
minHeap.remove();
// Pop the current maximum element
maxHeap.remove();
}
System.out.println("Sum of k-minimum prime numbers is " + minSum);
System.out.println("Sum of k-maximum prime numbers is " + maxSum);
System.out.println("Product of k-minimum prime numbers is " + minProduct);
System.out.println("Product of k-maximum prime numbers is " + maxProduct);
}
}
// This code is contributed by ankush_953
Python3
# Python program to find the sum
# and product of k smallest and
# k largest prime numbers in an array
import heapq
def SieveOfEratosthenes(max_val):
# Create a boolean vector "prime[0..n]". A
# value in prime[i] will finally be false
# if i is Not a prime, else true.
prime = [True for i in range(max_val+1)]
p = 2
while p*p <= max_val:
# If prime[p] is not changed, then
# it is a prime
if (prime[p] == True):
# Update all multiples of p
for j in range(2*p,max_val+1,p):
prime[j] = False
p += 1
return prime
# Function that calculates the sum
# and product of k smallest and k
# largest prime numbers in an array
def primeSumAndProduct(arr, n, k):
# Find maximum value in the array
max_val = max(arr)
# Use sieve to find all prime numbers
# less than or equal to max_val
prime = SieveOfEratosthenes(max_val)
# Set 0 and 1 as non-primes as
# they don't need to be
# counted as prime numbers
prime[0] = False
prime[1] = False
# Heap to store all the prime numbers
Heap = []
# Push all the prime numbers
# from the array to the heaps
for i in range(n):
if (prime[arr[i]]):
Heap.append(arr[i])
minProduct = 1
maxProduct = 1
minSum = 0
maxSum = 0
min_k = heapq.nsmallest(k,Heap)
max_k = heapq.nlargest(k,Heap)
minSum = sum(min_k)
maxSum = sum(max_k)
for val in min_k:
minProduct *= val
for val in max_k:
maxProduct *= val
print("Sum of k-minimum prime numbers is", minSum)
print("Sum of k-maximum prime numbers is", maxSum)
print("Product of k-minimum prime numbers is", minProduct)
print("Product of k-maximum prime numbers is", maxProduct)
# Driver code
arr = [ 4, 2, 12, 13, 5, 19 ]
n = len(arr)
k = 3
primeSumAndProduct(arr, n, k)
# This code is contributed by ankush_953
Sum of k-minimum prime numbers is 20
Sum of k-maximum prime numbers is 37
Product of k-minimum prime numbers is 130
Product of k-maximum prime numbers is 1235
时间复杂度:O(N*log(N) + max_val * log(log(max_val)))其中 N 是元素的总数,max_val 是数组中的最大值。
辅助空间:O(N + max_val)