给定N个元素的数组arr [] ,任务是找到arr []中最长子序列的长度,以使序列中的所有元素都是卢卡斯数。
例子:
Input: arr[] = {2, 3, 55, 6, 1, 18}
Output: 4
1, 2, 3 and 18 are the only elements from the Lucas sequence.
Input: arr[] = {22, 33, 2, 123}
Output: 2
方法:
- 在数组中找到最大元素。
- 生成最大卢卡斯数,并将它们存储在一组中。
- 遍历数组arr []并检查当前元素是否存在于集合中。
- 如果它存在于集合中,则增加计数。
下面是上述方法的实现:
C++
// C++ implementation of the approach
#include
using namespace std;
// Function to return the length of
// the longest required sub-sequence
int LucasSequence(int arr[], int n)
{
// Find the maximum element from
// the array
int max = *max_element(arr, arr+n);
// Insert all lucas numbers
// below max to the set
// a and b are first two elements
// of the Lucas sequence
unordered_set s;
int a = 2, b = 1, c;
s.insert(a);
s.insert(b);
while (b < max) {
int c = a + b;
a = b;
b = c;
s.insert(b);
}
int count = 0;
for (int i = 0; i < n; i++) {
// If current element is a Lucas
// number, increment count
auto it = s.find(arr[i]);
if (it != s.end())
count++;
}
// Return the count
return count;
}
// Driver code
int main()
{
int arr[] = { 7, 11, 22, 4, 2, 1, 8, 9 };
int n = sizeof(arr) / sizeof(arr[0]);
cout << LucasSequence(arr, n);
return 0;
}
Java
// Java implementation of the approach
import java.util.*;
class GFG
{
// Function to return the length of
// the longest required sub-sequence
static int LucasSequence(int[] arr, int n)
{
// Find the maximum element from
// the array
int max = Arrays.stream(arr).max().getAsInt();
int counter = 0;
// Insert all lucas numbers
// below max to the set
// a and b are first two elements
// of the Lucas sequence
HashSet s = new HashSet<>();
int a = 2, b = 1;
s.add(a);
s.add(b);
while (b < max)
{
int c = a + b;
a = b;
b = c;
s.add(b);
}
for (int i = 0; i < n; i++)
{
// If current element is a Lucas
// number, increment count
if (s.contains(arr[i]))
{
counter++;
}
}
// Return the count
return counter;
}
// Driver code
public static void main(String[] args)
{
int[] arr = {7, 11, 22, 4, 2, 1, 8, 9};
int n = arr.length;
System.out.println(LucasSequence(arr, n));
}
}
// This code has been contributed by 29AjayKumar
Python3
# Python 3 implementation of the approach
# Function to return the length of
# the longest required sub-sequence
def LucasSequence(arr, n):
# Find the maximum element from
# the array
max = arr[0]
for i in range(len(arr)):
if(arr[i] > max):
max = arr[i]
# Insert all lucas numbers below max
# to the set a and b are first two
# elements of the Lucas sequence
s = set()
a = 2
b = 1
s.add(a)
s.add(b)
while (b < max):
c = a + b
a = b
b = c
s.add(b)
count = 0
for i in range(n):
# If current element is a Lucas
# number, increment count
if(arr[i] in s):
count += 1
# Return the count
return count
# Driver code
if __name__ == '__main__':
arr = [7, 11, 22, 4, 2, 1, 8, 9]
n = len(arr)
print(LucasSequence(arr, n))
# This code is contributed by
# Surendra_Gangwar
C#
// C# implementation of the approach
using System;
using System.Collections.Generic;
using System.Linq;
class GFG
{
// Function to return the length of
// the longest required sub-sequence
static int LucasSequence(int []arr, int n)
{
// Find the maximum element from
// the array
int max = arr.Max();
int counter = 0;
// Insert all lucas numbers
// below max to the set
// a and b are first two elements
// of the Lucas sequence
HashSet s = new HashSet() ;
int a = 2, b = 1 ;
s.Add(a);
s.Add(b);
while (b < max)
{
int c = a + b;
a = b;
b = c;
s.Add(b);
}
for (int i = 0; i < n; i++)
{
// If current element is a Lucas
// number, increment count
if (s.Contains(arr[i]))
counter++;
}
// Return the count
return counter;
}
// Driver code
static public void Main()
{
int []arr = { 7, 11, 22, 4, 2, 1, 8, 9 };
int n = arr.Length ;
Console.WriteLine(LucasSequence(arr, n)) ;
}
}
// This code is contributed by Ryuga
输出:
5