计数最多 N 的 GCD 与 N 小于该数字的数字
给定一个整数N ,任务是计算K的值(其中1 ≤ K≤ N ),使得1< GCD (K, N) < K 。
例子:
Input: N = 10
Output: 3
Explanation: The values of K which satisfies the given conditions are:
- K = 4, gcd(4, 10) = 2
- K = 6, gcd(6, 10) = 2
- K = 8, gcd(8, 10) = 2
Input: N = 15
Output: 4
Explanation: The values of K which satisfies the given conditions are:
- K = 6, gcd(6, 15) = 3
- K = 9, gcd(9, 15) = 3
- K = 10, gcd(10, 15) = 5
- K = 12, gcd(12, 15) = 3
朴素方法:最简单的方法是在范围[1, N]上进行迭代,并检查每个数字是否满足给定条件。最后,打印这些数字的计数。
时间复杂度: O(N*log(N))
辅助空间: O(1)
有效方法:想法是找到范围[1, N]中的所有数字,其中gcd(K, N) = 1和gcd(K, N) = K然后最后从N中删除所有这些数字以获得最后的答案。请按照以下步骤解决问题:
- 使用埃拉托色尼筛法存储N的所有主要因子。
- 存储所有数字的计数 在范围[1, N]中,变量count1中的gcd(N, K) = K。
- 存储所有数字的计数 在gcd(N, K) = 1的范围[1, N]中使用 欧拉总函数 在变量count2中。
- 通过将ans更新为N – (count1 + count2)从N中删除这些数字。
- 打印ans的值作为结果。
下面是上述方法的实现:
C++
// C++ program for the above approach
#include
using namespace std;
// Store the all prime numbers
// using Sieve of Eratosthenes
const int MAXN = 100001;
vector spf;
// Function to fill the prime numbers
// using Sieve of Eratosthenes
void sieve()
{
// Create a boolean array and
// initialize all entries it as 0
int p[MAXN + 1] = { 0 };
p[2] = 1;
for (long long int i = 3; i < MAXN; i += 2) {
p[i] = 1;
}
// Push the first prime number
spf.push_back(2);
for (long long i = 3; i < MAXN; i += 2) {
// If the current number is prime
if (p[i]) {
// Store the prime numbers
// in spf which is prime
spf.push_back(i);
// Mark all its multiples as false
for (long long int j = i * i; j < MAXN;
j += 2 * i)
p[j] = 0;
}
}
}
// Function to count the values of K where
// 1≤K≤N such that 1< gcd(K, N) < K
void countK(int N)
{
// Precalculate prime numbers
sieve();
int N1 = N;
// Store the smallest prime number
int div = spf[0];
int index = 1, C = 0;
// Store the count of those numbers in the
// range [1, N] for which gcd(N, K) = K
int count1 = 1;
// Store the count of those numbers from
// the range [1, N] such that gcd(N, K) = 1
float count2 = N;
// Iterate through all prime factors of N
while (div * div <= N) {
if (N % div == 0) {
C = 0;
while (N % div == 0) {
N /= div;
C++;
}
count1 = count1 * (C + 1);
// count2 is determined by
// Euler's Totient Function
count2 *= (1.0 - (1.0 / (float)div));
}
div = spf[index];
index++;
}
if (N != 1) {
count1 *= 2;
count2 = count2 * (1.0 - (1.0 / (float)N));
}
int ans = N1 - count1 - count2;
// Add 1 to result as 1 is contributed
// twice due to count1 and count2
ans = ans + 1;
// Print the result
cout << ans;
return;
}
// Driver Code
int main()
{
// Given Input
int N = 10;
// Function Call
countK(N);
return 0;
}
Python3
# Python3 program for the above approach
# Store the all prime numbers
# using Sieve of Eratosthenes
MAXN = 100001
spf = []
# Function to fill the prime numbers
# using Sieve of Eratosthenes
def sieve():
global MAXN
# Create a boolean array and
# initialize all entries it as 0
p = [0] * (MAXN + 1)
p[2] = 1
for i in range(3, MAXN, 2):
p[i] = 1
# Push the first prime number
spf.append(2)
for i in range(3, MAXN, 2):
# If the current number is prime
if (p[i]):
# Store the prime numbers
# in spf which is prime
spf.append(i)
# Mark all its multiples as false
for j in range(i * i, MAXN, 2 * i):
p[j] = 0
# Function to count the values of K where
# 1≤K≤N such that 1< gcd(K, N) < K
def countK(N):
# Precalculate prime numbers
sieve()
N1 = N
# Store the smallest prime number
div = spf[0]
index, C = 1, 0
# Store the count of those numbers in the
# range [1, N] for which gcd(N, K) = K
count1 = 1
# Store the count of those numbers from
# the range [1, N] such that gcd(N, K) = 1
count2 = N
# Iterate through all prime factors of N
while (div * div <= N):
if (N % div == 0):
C = 0
while (N % div == 0):
N //= div
C += 1
count1 = count1 * (C + 1)
# count2 is determined by
# Euler's Totient Function
count2 *= (1.0 - (1.0 / div))
div = spf[index]
index += 1
if (N != 1):
count1 *= 2
count2 = count2 * (1.0 - (1.0 / N))
ans = N1 - count1 - count2
# Add 1 to result as 1 is contributed
# twice due to count1 and count2
ans = ans + 1
# Print the result
print(int(ans))
# Driver Code
if __name__ == '__main__':
# Given Input
N = 10
# Function Call
countK(N)
# This code is contributed by mohit kumar 29
Javascript
输出:
3
时间复杂度: O(N*log(log(N)))
辅助空间: O(N)