How to resolve the algorithm Giuga numbers step by step in the C++ programming language
How to resolve the algorithm Giuga numbers step by step in the C++ programming language
Table of Contents
Problem Statement
A Giuga number is a composite number n which is such that each of its distinct prime factors f divide (n/f - 1) exactly. All known Giuga numbers are even though it is not known for certain that there are no odd examples. 30 is a Giuga number because its distinct prime factors are 2, 3 and 5 and:
Determine and show here the first four Giuga numbers. Determine the fifth Giuga number and any more you have the patience for.
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Giuga numbers step by step in the C++ programming language
C++ Implementation of Giuga Sequence Generators:
Approach 1: Fast Check for Giuga Numbers:
The first C++ code efficiently checks whether a positive even integer n
is a Giuga number, defined as an even number with exactly one factor of 2 and all its prime factors are of the form 6k+1
or 6k-1
. The function is_giuga
performs this check using several optimizations:
- It assumes
n
is even with one factor of 2. - It quickly eliminates non-Giugas by checking for factors of 3 and 5.
- It iterates through prime numbers of the form
6k+1
to check further divisibility. - If no factor of the form
6k+1
is found, it checks for a special case wheren
itself or half ofn
minus 1 is divisible byn
.
If all these checks pass, the function returns true
, indicating that n
is a Giuga number.
Approach 2: Generating Giuga Numbers Using Rational Arithmetic:
The second C++ code generates Giuga numbers for a given n
. It uses rational arithmetic to efficiently compute the sum of reciprocals of prime factors of integers.
- The core of this approach is the
giuga_numbers
function, which generates and prints Giuga numbers up to a specifiedn
. - It initializes vectors
p
ands
to track prime factorsp[t]
and their reciprocalss[t]
. - The algorithm iteratively constructs the Giuga sequence by alternating between increasing
t
and choosing primesp[t]
to ensure that the sums[t]
remains less than 1 or equals 1. - When
t
is less thann-2
, it optimizes the selection ofp[t]
based on the previous sums[t-1]
. - When
t
equalsn-2
, it analyzes potential divisors of a specific polynomial to generate Giuga numbers.
Overall, these C++ implementations provide efficient ways to check for Giuga numbers and generate them for small values of n
.
Source code in the cpp programming language
#include <iostream>
// Assumes n is even with exactly one factor of 2.
bool is_giuga(unsigned int n) {
unsigned int m = n / 2;
auto test_factor = [&m, n](unsigned int p) -> bool {
if (m % p != 0)
return true;
m /= p;
return m % p != 0 && (n / p - 1) % p == 0;
};
if (!test_factor(3) || !test_factor(5))
return false;
static constexpr unsigned int wheel[] = {4, 2, 4, 2, 4, 6, 2, 6};
for (unsigned int p = 7, i = 0; p * p <= m; ++i) {
if (!test_factor(p))
return false;
p += wheel[i & 7];
}
return m == 1 || (n / m - 1) % m == 0;
}
int main() {
std::cout << "First 5 Giuga numbers:\n";
// n can't be 2 or divisible by 4
for (unsigned int i = 0, n = 6; i < 5; n += 4) {
if (is_giuga(n)) {
std::cout << n << '\n';
++i;
}
}
}
#include <boost/rational.hpp>
#include <algorithm>
#include <cstdint>
#include <iostream>
#include <vector>
using rational = boost::rational<uint64_t>;
bool is_prime(uint64_t n) {
if (n < 2)
return false;
if (n % 2 == 0)
return n == 2;
if (n % 3 == 0)
return n == 3;
for (uint64_t p = 5; p * p <= n; p += 4) {
if (n % p == 0)
return false;
p += 2;
if (n % p == 0)
return false;
}
return true;
}
uint64_t next_prime(uint64_t n) {
while (!is_prime(n))
++n;
return n;
}
std::vector<uint64_t> divisors(uint64_t n) {
std::vector<uint64_t> div{1};
for (uint64_t i = 2; i * i <= n; ++i) {
if (n % i == 0) {
div.push_back(i);
if (i * i != n)
div.push_back(n / i);
}
}
div.push_back(n);
sort(div.begin(), div.end());
return div;
}
void giuga_numbers(uint64_t n) {
std::cout << "n = " << n << ":";
std::vector<uint64_t> p(n, 0);
std::vector<rational> s(n, 0);
p[2] = 2;
p[1] = 2;
s[1] = rational(1, 2);
for (uint64_t t = 2; t > 1;) {
p[t] = next_prime(p[t] + 1);
s[t] = s[t - 1] + rational(1, p[t]);
if (s[t] == 1 || s[t] + rational(n - t, p[t]) <= rational(1)) {
--t;
} else if (t < n - 2) {
++t;
uint64_t c = s[t - 1].numerator();
uint64_t d = s[t - 1].denominator();
p[t] = std::max(p[t - 1], c / (d - c));
} else {
uint64_t c = s[n - 2].numerator();
uint64_t d = s[n - 2].denominator();
uint64_t k = d * d + c - d;
auto div = divisors(k);
uint64_t count = (div.size() + 1) / 2;
for (uint64_t i = 0; i < count; ++i) {
uint64_t h = div[i];
if ((h + d) % (d - c) == 0 && (k / h + d) % (d - c) == 0) {
uint64_t r1 = (h + d) / (d - c);
uint64_t r2 = (k / h + d) / (d - c);
if (r1 > p[n - 2] && r2 > p[n - 2] && r1 != r2 &&
is_prime(r1) && is_prime(r2)) {
std::cout << ' ' << d * r1 * r2;
}
}
}
}
}
std::cout << '\n';
}
int main() {
for (uint64_t n = 3; n < 7; ++n)
giuga_numbers(n);
}
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