给定数组中具有复合和的最大子集
给定一个由n 个不同的正整数组成的数组arr[] 。找到给定数组中最大子集的长度,它总和为一个复合数并打印所需的数组(顺序或打印元素无关紧要)。
Note: In case of multiple subsets with this largest size with the composite sum, output any of them.
例子:
Input: arr[] = {8, 1, 4}, n=3
Output: 2, [8, 4]
Explanation: The required subset can be [8, 1] => 8 + 1 = 9 (composite number). Can also consider, [8, 4] (sum = 12 composite number). Note that [8, 1, 4] cannot be considered as it’s sum is not a composite number. Sum = 8 + 1 + 4 = 13(not a composite number).
Input: arr[] = {6, 4, 2, 3}, n=4
Output: 4, [6, 2, 4, 3]
Explanation: Sum of all elements, = 6 + 4 + 2 + 3 = 15 (composite number), which is the largest subset.
方法:通过考虑所有偶数之和为偶数(除 2 外始终是合数),然后将奇数添加到该和并检查和是否是合数,可以轻松解决给定问题。不是。请按照以下步骤解决问题:
- 创建一个temp[]向量,首先存储所有偶数,然后存储给定数组中的奇数。
- 创建一个变量cursum ,初始化为零,用于存储临时数组的当前和,变量maxlen = 0 ,用于存储合成和的最大长度。
- 使用变量i遍历范围[0, n)并执行以下任务:
- 将值temp[i]添加到变量currsum 。
- 如果currrsum的值是一个合数并且currsum大于maxlen则将maxlen的值设置为i+1。
- 执行上述步骤后,打印maxlen的值作为答案,并将数组temp[]中的第一个maxlen元素作为答案。
下面是上述方法的实现:
C++
// C++ program for the above approach
#include
using namespace std;
// Function to check if the current
// sum is composite or not
bool checkComposite(int n)
{
// 1 and 2 are not composite
// number
if (n == 1 || n == 2) {
return false;
}
// If the number is divisible
// by any digit except 2 and itself
// then it's composite
for (int i = 2; i < n; i++) {
// If composite
if (n % i == 0 && i != n) {
return true;
}
}
return false;
}
// Utility Function to find largest composite
// subset sum
void largestCompositeSum(int arr[], int n)
{
// Vector to store the elements of
// arr in order of first even then
// odd numbers
vector temp;
// Even numbers pushed first in
// temp array
for (int i = 0; i < n; i++) {
// Even check
if (arr[i] % 2 == 0) {
temp.push_back(arr[i]);
}
}
// Odd numbers pushed
for (int i = 0; i < n; i++) {
// Odd check
if (arr[i] % 2 == 1) {
temp.push_back(arr[i]);
}
}
// To store current sum
int cursum = 0;
// To store maximum length composite
// sum
int maxlen = 0;
for (int i = 0; i < n; i++) {
cursum += temp[i];
// If composite then update
// cursum
if (checkComposite(cursum)
&& cursum > maxlen) {
maxlen = i + 1;
}
}
cout << maxlen << endl;
// Printing the required array
for (int i = 0; i < maxlen; i++) {
cout << temp[i] << " ";
}
return;
}
// Driver Code
int main()
{
int n = 3;
int arr[3] = { 8, 1, 4 };
// Function called
largestCompositeSum(arr, n);
return 0;
}
Java
// Java program for the above approach
import java.util.*;
class GFG{
// Function to check if the current
// sum is composite or not
static boolean checkComposite(int n)
{
// 1 and 2 are not composite
// number
if (n == 1 || n == 2) {
return false;
}
// If the number is divisible
// by any digit except 2 and itself
// then it's composite
for (int i = 2; i < n; i++) {
// If composite
if (n % i == 0 && i != n) {
return true;
}
}
return false;
}
// Utility Function to find largest composite
// subset sum
static void largestCompositeSum(int arr[], int n)
{
// Vector to store the elements of
// arr in order of first even then
// odd numbers
Vector temp = new Vector();
// Even numbers pushed first in
// temp array
for (int i = 0; i < n; i++) {
// Even check
if (arr[i] % 2 == 0) {
temp.add(arr[i]);
}
}
// Odd numbers pushed
for (int i = 0; i < n; i++) {
// Odd check
if (arr[i] % 2 == 1) {
temp.add(arr[i]);
}
}
// To store current sum
int cursum = 0;
// To store maximum length composite
// sum
int maxlen = 0;
for (int i = 0; i < n; i++) {
cursum += temp.get(i);
// If composite then update
// cursum
if (checkComposite(cursum)
&& cursum > maxlen) {
maxlen = i + 1;
}
}
System.out.print(maxlen +"\n");
// Printing the required array
for (int i = 0; i < maxlen; i++) {
System.out.print(temp.get(i)+ " ");
}
return;
}
// Driver Code
public static void main(String[] args)
{
int n = 3;
int arr[] = { 8, 1, 4 };
// Function called
largestCompositeSum(arr, n);
}
}
// This code is contributed by shikhasingrajput
Python
# Python program for the above approach
# Function to check if the current
# sum is composite or not
def checkComposite(n):
# 1 and 2 are not composite
# number
if (n == 1 or n == 2):
return false
# If the number is divisible
# by any digit except 2 and itself
# then it's composite
for i in range(2, n):
# If composite
if (n % i == 0 and i != n):
return True
return False
# Utility Function to find largest composite
# subset sum
def largestCompositeSum(arr, n):
# Vector to store the elements of
# arr in order of first even then
# odd numbers
temp = []
# Even numbers pushed first in
# temp array
for i in range(n):
# Even check
if (arr[i] % 2 == 0):
temp.append(arr[i])
# Odd numbers pushed
for i in range(n):
# Odd check
if (arr[i] % 2 == 1):
temp.append(arr[i])
# To store current sum
cursum = 0;
# To store maximum length composite
# sum
maxlen = 0;
for i in range(n):
cursum += temp[i]
# If composite then update
# cursum
if (checkComposite(cursum)
and cursum > maxlen):
maxlen = i + 1
print(maxlen)
l = len(temp) - maxlen
for i in range(l):
temp.remove(temp[i + maxlen])
# Printing the required array
print(*temp)
return
# Driver code
n = 3
arr = [8, 1, 4]
# Function called
largestCompositeSum(arr, n);
# This code is contributed by Samim Hossain Mondal.
C#
// C# program for the above approach
using System;
using System.Collections.Generic;
class GFG
{
// Function to check if the current
// sum is composite or not
static bool checkComposite(int n)
{
// 1 and 2 are not composite
// number
if (n == 1 || n == 2) {
return false;
}
// If the number is divisible
// by any digit except 2 and itself
// then it's composite
for (int i = 2; i < n; i++) {
// If composite
if (n % i == 0 && i != n) {
return true;
}
}
return false;
}
// Utility Function to find largest composite
// subset sum
static void largestCompositeSum(int[] arr, int n)
{
// Vector to store the elements of
// arr in order of first even then
// odd numbers
List temp = new List();
// Even numbers pushed first in
// temp array
for (int i = 0; i < n; i++) {
// Even check
if (arr[i] % 2 == 0) {
temp.Add(arr[i]);
}
}
// Odd numbers pushed
for (int i = 0; i < n; i++) {
// Odd check
if (arr[i] % 2 == 1) {
temp.Add(arr[i]);
}
}
// To store current sum
int cursum = 0;
// To store maximum length composite
// sum
int maxlen = 0;
for (int i = 0; i < n; i++) {
cursum += temp[i];
// If composite then update
// cursum
if (checkComposite(cursum) && cursum > maxlen) {
maxlen = i + 1;
}
}
Console.WriteLine(maxlen);
// Printing the required array
for (int i = 0; i < maxlen; i++) {
Console.Write(temp[i] + " ");
}
return;
}
// Driver Code
public static void Main()
{
int n = 3;
int[] arr = { 8, 1, 4 };
// Function called
largestCompositeSum(arr, n);
}
}
// This code is contributed by ukasp.
Javascript
2
8 4
时间复杂度: O(n 2 )
辅助空间: O(n),临时数组需要。