I am working on an assignment involving 'quite good' numbers. The task describes them as:
"A "quite good" number is an integer whose "badness" – the size of the difference between the sum of its divisors and the number itself – is not greater than a specified value. For example, if the maximum badness is set at 3, there are 12 "quite good" numbers less than 100: 2, 3, 4, 6, 8, 10, 16, 18, 20, 28, 32, and 64; Your task is to write a C++ program, quitegood, that determines numbers of a specified maximum badness that are less than a specified value. The limiting value and maximum badness are specified as command-line arguments when the program is executed."
The task asks me to write a program that prints perfect numbers with a specified badness limit up to a million. So, the command line argument of quitegood 1000000
1 should print 2 4 6 8 16 28 32 64 128 256 496 512 1024 2048 4096 8128 8192 16384 32768 65536 131072
262144 524288.
I have gotten this to work with the following code
#include <iostream>
using namespace std;
int main(int argc, char *argv[]) {
const int limit = argc > 1 ? atoi(argv[1]) : 1000000;
const int badness = argc > 2 ? atoi(argv[2]) : 10;
for(int number = 2; number < limit; number++) {
int sum = 1;
for (int factor = 2; factor < number; factor++){
if (number % factor == 0) {
sum += factor;
}
}
if (number >= (sum - badness) && number <= (sum + badness)) {
cout << number << " ";
}
}
return 0;
}
The only issue is that this code is far too slow finding the 'quite good' numbers up to 1 million. Is there any way of optimising this?
Thank you
If f is a factor of n then so is n/f (although when f is the square-root of n, f and n/f are the same factor). So you can make the code a lot faster by counting factors only up to sqrt(number), and then when you find one also include the matching factor number/factor (except for the square-root case).
for (int factor = 2; factor * factor <= number; factor++){
if (number % factor == 0) {
sum += factor;
if (factor * factor != number) {
sum += number / factor;
}
}
}
This code runs in 1.554s on my machine in the case of limit being 1 million, and badness 1. I got bored after several minutes waiting for the original code to complete.
To make the code even faster, you can find the prime factorization of the number, and use the formula for the sum of the divisors based on the prime factorization.
Even without pre-computing the primes, using this method runs in 0.713s on my machine. Here's my code to compute sum from number:
int n = number;
int i = 2;
while (n > 1) {
if (i * i > n) {
sum *= (n + 1);
break;
}
int pp = i;
while (n % i == 0) {
pp *= i;
n /= i;
}
sum *= (pp - 1) / (i - 1);
i += 1;
}
sum -= number;
It finds all prime powers that divide number, and for each p^m multiplies sum by (p^(m+1) - 1) / (p - 1). Like the first solution, it stops early, when i*i > n, which at that point means n is a prime.
It's a lot faster than the first solution in the average case, because although we're still doing trial division, n gets smaller as prime factors are found.
If you have precomputed a large enough list of primes (that is, it includes at least one larger than the square root of limit), you can be a little more efficient again in computing sum:
int n = number;
for (int i = 0; primes[i] * primes[i] <= n; ++i) {
int pp = primes[i];
while (n % primes[i] == 0) {
pp *= primes[i];
n /= primes[i];
}
sum *= (pp - 1) / (primes[i] - 1);
}
if (n > 1) sum *= (n + 1);
sum -= number;
The code with this way of computing sum runs in 0.189s on my machine.
I've written the following C++ code to factorize really large numbers efficiently (numbers up to 24997300729).
I have a vector containing 41000 primes approx.( I know having such a large vector isn't a good idea although but couldn't figure a way around this).
This code produces the prime factorization of moderately large numbers in no time but when it comes to numbers such as, 24997300572 the program stalls.
Here's the program below with some screenshots of the output:
#include <iostream>
#include <vector>
#include <algorithm>
#include <iterator>
#include <cmath>
using namespace std;
vector<int> primes = {paste from
https://drive.google.com/file/d/1nGvtMMQSa9YIDkMW2jgEbJk67P7p54ft/view?usp=sharing
};
void factorize(int n) {
if (n == 1)
return;
if (find(primes.begin(), primes.end(), n) != primes.end()) {
cout << n <<" "; //if n is prime dont'proceed further
return;
}
//obtaining an iterator to the location of prime equal to or just greater than sqrt(n)
auto s = sqrt(n);
vector<int>::iterator it = lower_bound(primes.begin(), primes.end(), s);
if (it == primes.end()) {
return; // if no primes found then the factors are beyond range
}
for (auto i = it;i != primes.begin();i--) {
if (n % *i == 0)
{
cout << *i << " ";
n = n / (*i);
factorize(n);
return; // the two consecutive for() loops should never run one after another
}
}
for (auto i = it;i != primes.end();i++) {
if (n % *i == 0)
{
cout << *i << " ";
n = n / (*i);
factorize(n);
return; // the two consecutive for() loops should never run one after another
}
}
}
int main() {
unsigned int n;
cout << "Enter a number between 1 and 24997300729 ";
cin >> n;
if (n > 24997300729) {
cout << "Number out of range;";
exit(-1);
}
factorize(n);
return 0;
}
This is OK
But This is NOT!!!
I tried using long long int and long double wherever I could to over come the problem of large numbers, but that didn't help much.
Any help Would Be Greatly Appreciated
It's a little unclear (at least to me) exactly why you've structured the program the way you have.
You can fully factor a number by only looking for prime factors less than or equal to that number's square root. Any prime factor larger than those pairs with one prime factors smaller than that, so you only have to search for those to find all the prime factors. Any remaining factors can be obtained by simple division, not searching.
I'd probably generate the base of prime numbers on the fly (mostly likely using a sieve). The square root of 24'997'300'729 is (about) 158'105. A quick test shows that even without any work on optimization, a sieve of Eratosthenes will find the primes up to that limit in about 12 milliseconds.
Personally, I'd rather not have a fixed limit on the largest number the user can factor, other than the limit on the size of number we're working with, so if the user enters something close to the limit for a 64-bit number, we find all the primes that fit in 32 bits, and then use those to factor the number. This will obviously be slower than if we don't find as many primes, but a user probably won't be too surprised at the idea that factoring a larger number takes longer than factoring a smaller number.
So, implementing that, we might end up with code something like this:
#include <iostream>
#include <locale>
#include <vector>
#include <string>
using Number = unsigned long long;
auto build_base(Number limit) {
std::vector<bool> sieve(limit / 2, true);
for (Number i = 3; i < limit; i += 2) {
if (sieve[i / 2]) {
for (Number temp = i * i; temp < limit; temp += i)
if (temp & 1)
sieve[temp / 2] = false;
}
}
return sieve;
}
void factor(Number input, std::vector<bool> const &candidates)
{
while (input % 2 == 0) {
std::cout << 2 << "\t";
input /= 2;
}
for (Number i = 1; i < candidates.size(); i++) {
if (candidates[i]) {
auto candidate = i * 2 + 1;
while ((input % candidate) == 0) {
std::cout << candidate << "\t";
input /= candidate;
}
}
}
if (input != 1)
std::cout << input;
}
int main(int argc, char **argv) {
std::cout.imbue(std::locale(""));
if (argc != 2) {
std::cerr << "Usage: factor <number>\n";
return EXIT_FAILURE;
}
auto number = std::stoull(argv[1]);
auto limit = std::sqrt(number) + 1;
auto candidates = build_base(limit);
factor(number, candidates);
}
At a high level, the code works like this: we start by finding the primes up to the square root of the number the user entered. Since we want all the primes up to a limit, we use a sieve of Eratosthenes to find them. This builds a vector of bools, in which vector[n] will be true if n is prime, and false if n is composite. It does this starting from 3 (2 is a special case we kind of ignore for now) and crossing off the multiples of three. Then it finds the next number that hasn't been crossed off (which will be five, in this case), and crosses off its multiples. It continues doing that until it reaches the end of the array. To save some space, it leaves all the even numbers out of the array, because (other than that special case for 2) we already know none of them is prime.
Once we have that, we use those prime numbers to find prime factors of the number we want to factor. This proceeds pretty simply: walk through the vector of primes, and test whether each prime number divides evenly into the target number. If it does, print it out, divide it out of the target number, and continue.
At least for me, this seems to work pretty dependably, and is reasonably fast. If we wanted to do a better job of factoring larger numbers, the next big step would be to switch to a segmented sieve. This can improve the speed of the first part of the job by a pretty wide margin, allowing us (for example) to factor anything that'll fit into a 64-bit number in no more than about 10 seconds.
I need a program in c++ that gets a number:
LOOP:
If that number is even divide it by 2 (n=n/2)
If it's not even you can do one of this operations:
n+1
n-1
LOOP ENDS
The program should do this until n=1.
But it should do this in the most efficient and fastest way and the only hint I have is that I can use DP approach.
And the output should be numbers of operations used to calculate that number.
For example:
15->16->8->4->2->1 output:5
35->36->18->9->8->4->2->1 output:7
here's the code I wrote but it's not completed yet and it's wrong since I couldn't figure out how should I add or subtract in each step:
#include "stdafx.h"
#include <iostream>
using namespace std;
int main()
{
int n;
int h=0;
int i=0;
cout<<"Enter A Number:";
cin >> n;
int r=n;
int q=n;
cout<<r;
L1: while ( r % 2 == 0)
{
for(int m=0;r>1 && m==0 ;)
{ r=r / 2;h++;
m=r%2;
cout<<" => "<<r;
}}
while(r%2==1 && r>1)
{r=r-1;cout<<" => "<<r;h++;
goto L1;}
cout<<endl;
//**********************
cout<<q;
L2: while ( q % 2 == 0)
{
for(int m=0;q>1 && m==0 ;)
{ q=q / 2;i++;
m=q%2;
cout<<" => "<<q;
}}
while(q%2==1 && q>1)
{q=q+1;cout<<" => "<<q;i++;
goto L2;}
cout<<endl<<"First:"<<h<<endl<<"Second:"<<i<<endl;
system("pause");
}
If you want to solve it using DP:
I would state this: for each possible value 1 <=i < N find the optimal number of steps.
We use a priority queue to do this where we extract at each iteration the highest number. This is much more efficient than a vector of length N because a lot of states are unreachable (e.g. i=10 in the 15 example).
Consider that the starting state is (15,0): 15 with zero moves.
From this you create two new states (8,2) and (7,2) because for each you need two steps(add/subtract + division).
Extracting (8,2): (7,2)(4,3)
Extracting (7,2): (4,3)(3,4) Here comes DP! (7,2) would create the state (4,4) but you mantain in the queue only the minimum number of steps for the same state.
Extracting (4,3): (2,4)(3,4)
extracting(3,4): (2,4)(1,6)
Extracting (2,4): (1,5)
And that is it the solution is 5 steps.
Steps for 35:
(35,0) --- >(18,2) (17,2) -----> (17,2) (9,3) ----->
(9,3)(8,4) ----> (8,4)(5,5)(4,5) ----> (5,5)(4,5) ----->
(4,5)(3,7)(2,7)----> (3,7)(2,6) -----> (2,6)(1,9) ----> (1,7)
Solution: 7 steps.
Look if that helps you.
// Example program
#include <iostream>
#include <string>
int f (int n)
{
int iterations = 0;
while (n > 1)
{
if (n % 2 != 0)
{
std::cout << n << "->";
++n;
if (n & (n - 1))
n -= 2;
++iterations;
}
std::cout << n << "->";
n >>= 1;
++iterations;
}
std::cout << n << "->";
return iterations;
}
int main()
{
std::cout << f(15) << std::endl;
std::cout << f(41) << std::endl;
std::cout << f(43) << std::endl;
}
For use of dynamic programming, you should make recursion to get sub-solutions to the problem and then solve the problem itself. You also have to use a memory structure to hold the results of such sub-solutions.
#include <deque>
#include <iostream>
using namespace std;
int solve(deque<int>& solution, int number) {
if(number >= solution.size()) // resize to fit
solution.resize(number + 1, -1);
if(number == 1) // special case for number 1
return solution[number] = 0;
if(solution[number] != -1) // if already calculated
return solution[number];
if(number % 2 == 0) // n=n/2
return solution[number] = solve(solution, number/2) + 1;
int solutionA = solve(solution, number + 1); // n++
int solutionB = solve(solution, number - 1); // n--
return solution[number] = std::min(solutionA, solutionB) + 1; // best of n++,n--
}
int main() {
deque<int> solution;
cout << solve(solution, 35);
}
I'm not sure the code will work though.
Here's my recursive solution, verified up to 2097152 against the DP example.
The basis of it is using the value of the last two bits to determine the optimal operation. If the last bit is a 0, we always divide. If the last two bits are 11 we always increment as this transforms to 100 which enables two consecutive divide operations.
If the last two bits are 01 we decrement as this gives our next operation two consecutive divide operations vs incrementing which gives us 10.
The corner case is the number 3 where 3 -> 2 is desired over promotion to 4.
I suspect you can optimise this further by just scanning the bit pattern to determine the number of operations required. i.e. each zero requires a div op, and a set of ones can be changed into zeroes with a single addition.
#include <cstdint>
int solve_algorithmically(std::uint64_t number)
{
// If 1 there is nothing to do.
if (number <= 1)
return 0;
// Nasty hack to get around the case where number=3 & 3 == 3 will cause increment
if (number == 3)
return solve_algorithmically(number - 1) + 1;
// If we have an even number (0 in LSB)
if ((number & 1) == 0)
return solve_algorithmically(number / 2) + 1;
// If we have two consecutive 1's i.e. (...11) then increment as this wil give us two zeroes.
// The exception is the root case 3 where decrement wins.
if ((number & 3) == 3)
return solve_algorithmically(number + 1) + 1;
// The only other case ends last two bits = 01
return solve_algorithmically(number - 1) + 1;
}
int main() {
for (auto i = 1; i < 2097152; i++)
{
int alg = solve_algorithmically(i);
}
}
I have perused a lot of code on this topic, but most of them produce the numbers that are prime all the way up to the input number. However, I need code which only checks whether the given input number is prime.
Here is what I was able to write, but it does not work:
void primenumber(int number)
{
if(number%2!=0)
cout<<"Number is prime:"<<endl;
else
cout<<"number is NOt prime"<<endl;
}
I would appreciate if someone could give me advice on how to make this work properly.
Update
I modified it to check on all the numbers in a for loop.
void primenumber(int number)
{
for(int i=1; i<number; i++)
{
if(number%i!=0)
cout<<"Number is prime:"<<endl;
else
cout<<"number is NOt prime"<<endl;
}
}
bool isPrime(int number){
if(number < 2) return false;
if(number == 2) return true;
if(number % 2 == 0) return false;
for(int i=3; (i*i)<=number; i+=2){
if(number % i == 0 ) return false;
}
return true;
}
My own IsPrime() function, written and based on the deterministic variant of the famous Rabin-Miller algorithm, combined with optimized step brute forcing, giving you one of the fastest prime testing functions out there.
__int64 power(int a, int n, int mod)
{
__int64 power=a,result=1;
while(n)
{
if(n&1)
result=(result*power)%mod;
power=(power*power)%mod;
n>>=1;
}
return result;
}
bool witness(int a, int n)
{
int t,u,i;
__int64 prev,curr;
u=n/2;
t=1;
while(!(u&1))
{
u/=2;
++t;
}
prev=power(a,u,n);
for(i=1;i<=t;++i)
{
curr=(prev*prev)%n;
if((curr==1)&&(prev!=1)&&(prev!=n-1))
return true;
prev=curr;
}
if(curr!=1)
return true;
return false;
}
inline bool IsPrime( int number )
{
if ( ( (!(number & 1)) && number != 2 ) || (number < 2) || (number % 3 == 0 && number != 3) )
return (false);
if(number<1373653)
{
for( int k = 1; 36*k*k-12*k < number;++k)
if ( (number % (6*k+1) == 0) || (number % (6*k-1) == 0) )
return (false);
return true;
}
if(number < 9080191)
{
if(witness(31,number)) return false;
if(witness(73,number)) return false;
return true;
}
if(witness(2,number)) return false;
if(witness(7,number)) return false;
if(witness(61,number)) return false;
return true;
/*WARNING: Algorithm deterministic only for numbers < 4,759,123,141 (unsigned int's max is 4294967296)
if n < 1,373,653, it is enough to test a = 2 and 3.
if n < 9,080,191, it is enough to test a = 31 and 73.
if n < 4,759,123,141, it is enough to test a = 2, 7, and 61.
if n < 2,152,302,898,747, it is enough to test a = 2, 3, 5, 7, and 11.
if n < 3,474,749,660,383, it is enough to test a = 2, 3, 5, 7, 11, and 13.
if n < 341,550,071,728,321, it is enough to test a = 2, 3, 5, 7, 11, 13, and 17.*/
}
To use, copy and paste the code into the top of your program. Call it, and it returns a BOOL value, either true or false.
if(IsPrime(number))
{
cout << "It's prime";
}
else
{
cout<<"It's composite";
}
If you get a problem compiling with "__int64", replace that with "long". It compiles fine under VS2008 and VS2010.
How it works:
There are three parts to the function. Part checks to see if it is one of the rare exceptions (negative numbers, 1), and intercepts the running of the program.
Part two starts if the number is smaller than 1373653, which is the theoretically number where the Rabin Miller algorithm will beat my optimized brute force function. Then comes two levels of Rabin Miller, designed to minimize the number of witnesses needed. As most numbers that you'll be testing are under 4 billion, the probabilistic Rabin-Miller algorithm can be made deterministic by checking witnesses 2, 7, and 61. If you need to go over the 4 billion cap, you will need a large number library, and apply a modulus or bit shift modification to the power() function.
If you insist on a brute force method, here is just my optimized brute force IsPrime() function:
inline bool IsPrime( int number )
{
if ( ( (!(number & 1)) && number != 2 ) || (number < 2) || (number % 3 == 0 && number != 3) )
return (false);
for( int k = 1; 36*k*k-12*k < number;++k)
if ( (number % (6*k+1) == 0) || (number % (6*k-1) == 0) )
return (false);
return true;
}
}
How this brute force piece works:
All prime numbers (except 2 and 3) can be expressed in the form 6k+1 or 6k-1, where k is a positive whole number. This code uses this fact, and tests all numbers in the form of 6k+1 or 6k-1 less than the square root of the number in question. This piece is integrated into my larger IsPrime() function (the function shown first).
If you need to find all the prime numbers below a number, find all the prime numbers below 1000, look into the Sieve of Eratosthenes. Another favorite of mine.
As an additional note, I would love to see anyone implement the Eliptical Curve Method algorithm, been wanting to see that implemented in C++ for a while now, I lost my implementation of it. Theoretically, it's even faster than the deterministic Rabin Miller algorithm I implemented, although I'm not sure if that's true for numbers under 4 billion.
You need to do some more checking. Right now, you are only checking if the number is divisible by 2. Do the same for 2, 3, 4, 5, 6, ... up to number. Hint: use a loop.
After you resolve this, try looking for optimizations.
Hint: You only have to check all numbers up to the square root of the number
I would guess taking sqrt and running foreach frpm 2 to sqrt+1 if(input% number!=0) return false;
once you reach sqrt+1 you can be sure its prime.
C++
bool isPrime(int number){
if (number != 2){
if (number < 2 || number % 2 == 0) {
return false;
}
for(int i=3; (i*i)<=number; i+=2){
if(number % i == 0 ){
return false;
}
}
}
return true;
}
Javascript
function isPrime(number)
{
if (number !== 2) {
if (number < 2 || number % 2 === 0) {
return false;
}
for (var i=3; (i*i)<=number; i+=2)
{
if (number % 2 === 0){
return false;
}
}
}
return true;
}
Python
def isPrime(number):
if (number != 2):
if (number < 2 or number % 2 == 0):
return False
i = 3
while (i*i) <= number:
if(number % i == 0 ):
return False;
i += 2
return True;
If you know the range of the inputs (which you do since your function takes an int), you can precompute a table of primes less than or equal to the square root of the max input (2^31-1 in this case), and then test for divisibility by each prime in the table less than or equal to the square root of the number given.
This code only checks if the number is divisible by two. For a number to be prime, it must not be evenly divisible by all integers less than itself. This can be naively implemented by checking if it is divisible by all integers less than floor(sqrt(n)) in a loop. If you are interested, there are a number of much faster algorithms in existence.
If you are lazy, and have a lot of RAM, create a sieve of Eratosthenes which is practically a giant array from which you kicked all numbers that are not prime.
From then on every prime "probability" test will be super quick.
The upper limit for this solution for fast results is the amount of you RAM. The upper limit for this solution for superslow results is your hard disk's capacity.
I follow same algorithm but different implementation that loop to sqrt(n) with step 2 only odd numbers because I check that if it is divisible by 2 or 2*k it is false. Here is my code
public class PrimeTest {
public static boolean isPrime(int i) {
if (i < 2) {
return false;
} else if (i % 2 == 0 && i != 2) {
return false;
} else {
for (int j = 3; j <= Math.sqrt(i); j = j + 2) {
if (i % j == 0) {
return false;
}
}
return true;
}
}
/**
* #param args
*/
public static void main(String[] args) {
for (int i = 1; i < 100; i++) {
if (isPrime(i)) {
System.out.println(i);
}
}
}
}
Use mathematics first find square root of number then start loop till the number ends which you get after square rooting.
check for each value whether the given number is divisible by the iterating value .if any value divides the given number then it is not a prime number otherwise prime.
Here is the code
bool is_Prime(int n)
{
int square_root = sqrt(n); // use math.h
int toggle = 1;
for(int i = 2; i <= square_root; i++)
{
if(n%i==0)
{
toggle = 0;
break;
}
}
if(toggle)
return true;
else
return false;
}
bool check_prime(int num) {
for (int i = num - 1; i > 1; i--) {
if ((num % i) == 0)
return false;
}
return true;
}
checks for any number if its a prime number
Someone had the following.
bool check_prime(int num) {
for (int i = num - 1; i > 1; i--) {
if ((num % i) == 0)
return false;
}
return true;
}
This mostly worked. I just tested it in Visual Studio 2017. It would say that anything less than 2 was also prime (so 1, 0, -1, etc.)
Here is a slight modification to correct this.
bool check_prime(int number)
{
if (number > 1)
{
for (int i = number - 1; i > 1; i--)
{
if ((number % i) == 0)
return false;
}
return true;
}
return false;
}
Count by 6 for better speed:
bool isPrime(int n)
{
if(n==1) return false;
if(n==2 || n==3) return true;
if(n%2==0 || n%3==0) return false;
for(int i=5; i*i<=n; i=i+6)
if(n%i==0 || n%(i+2)==0)
return false;
return true;
}
There are several different approches to this problem.
The "Naive" Method: Try all (odd) numbers up to (the root of) the number.
Improved "Naive" Method: Only try every 6n ± 1.
Probabilistic tests: Miller-Rabin, Solovay-Strasse, etc.
Which approach suits you depends and what you are doing with the prime.
You should atleast read up on Primality Testing.
If n is 2, it's prime.
If n is 1, it's not prime.
If n is even, it's not prime.
If n is odd, bigger than 2, we must check all odd numbers 3..sqrt(n)+1, if any of this numbers can divide n, n is not prime, else, n is prime.
For better performance i recommend sieve of eratosthenes.
Here is the code sample:
bool is_prime(int n)
{
if (n == 2) return true;
if (n == 1 || n % 2 == 0) return false;
for (int i = 3; i*i < n+1; i += 2) {
if (n % i == 0) return false;
}
return true;
}
I came up with this:
int counter = 0;
bool checkPrime(int x) {
for (int y = x; y > 0; y--){
if (x%y == 0) {
counter++;
}
}
if (counter == 2) {
counter = 0; //resets counter for next input
return true; //if its only divisible by two numbers (itself and one) its a prime
}
else counter = 0;
return false;
}
This is a quick efficient one:
bool isPrimeNumber(int n) {
int divider = 2;
while (n % divider != 0) {
divider++;
}
if (n == divider) {
return true;
}
else {
return false;
}
}
It will start finding a divisible number of n, starting by 2. As soon as it finds one, if that number is equal to n then it's prime, otherwise it's not.
//simple function to determine if a number is a prime number
//to state if it is a prime number
#include <iostream>
using namespace std;
int isPrime(int x); //functioned defined after int main()
int main() {
int y;
cout << "enter value" << endl;
cin >> y;
isPrime(y);
return 0;
} //end of main function
//-------------function
int isPrime(int x) {
int counter = 0;
cout << "factors of " << x << " are " << "\n\n"; //print factors of the number
for (int i = 0; i <= x; i++)
{
for (int j = 0; j <= x; j++)
{
if (i * j == x) //check if the number has multiples;
{
cout << i << " , "; //output provided for the reader to see the
// muliples
++counter; //counts the number of factors
}
}
}
cout << "\n\n";
if (counter > 2) {
cout << "value is not a prime number" << "\n\n";
}
if (counter <= 2) {
cout << "value is a prime number" << endl;
}
}
Here is a simple program to check whether a number is prime or not:
#include <iostream>
using namespace std;
int main()
{
int n, i, m=0, flag=0;
cout << "Enter the Number to check Prime: ";
cin >> n;
m=n/2;
for(i = 2; i <= m; i++)
{
if(n % i == 0)
{
cout<<"Number is not Prime."<<endl;
flag=1;
break;
}
}
if (flag==0)
cout << "Number is Prime."<<endl;
return 0;
}
Here is a C++ code to determine that a given number is prime:
bool isPrime(int num)
{
if(num < 2) return false;
for(int i = 2; i <= sqrt(num); i++)
if(num % i == 0) return false;
return true;
}
PS Don't forget to include math.h library to use sqrt function
well crafted, share it with you:
bool isPrime(int num) {
if (num == 2) return true;
if (num < 2) return false;
if (num % 2 == 0) return false;
for (int i = num - 1; i > 1; i--) {
if (num % i == 0) return false;
}
return true;
}
There are many potential optimization in prime number testing.
Yet many answers here, not only are worse the O(sqrt(n)), they suffer from undefined behavior (UB) and incorrect functionality.
A simple prime test:
// Return true when number is a prime.
bool is_prime(int number) {
// Take care of even values, it is only a bit test.
if (number % 2 == 0) {
return number == 2;
}
// Loop from 3 to square root (n)
for (int test_factor = 3; test_factor <= number / test_factor; test_factor +=
2) {
if (number % test_factor == 0) {
return false;
}
}
return n > 1;
}
Do not use test_factor * test_factor <= number. It risks signed integer overflow (UB) for large primes.
Good compilers see nearby number/test_factor and number % test_factor and emit code that computes both for the about the time cost of one. If still concerned, consider div().
Avoid sqrt(n). Weak floating point libraries do not perform this as exactly as we need for this integer problem, possible returning a value just ever so less than an expected whole number. If still interested in a sqrt(), use lround(sqrt(n)) once before the loop.
Avoid sqrt(n) with wide integer types of n. Conversion of n to a double may lose precision. long double may fair no better.
Test to insure the prime test code does not behave poorly or incorrectly with 1, 0 or any negative value.
Consider bool is_prime(unsigned number) or bool is_prime(uintmax_t number) for extended range.
Avoid testing with candidate factors above the square root n and less than n. Such test factors are never factors of n. Not adhering to this makes for slow code.
A factor is more likely a small value that an large one. Testing small values first is generally far more efficient for non-primes.
Pedantic: Avoid if (number & 1 == 0) {. It is an incorrect test when number < 0 and encoded with rare ones' complement. Use if (number % 2 == 0) { and trust your compiler to emit good code.
More advanced techniques use a list of known/discovered primes and the Sieve of Eratosthenes.
#define TRUE 1
#define FALSE -1
int main()
{
/* Local variables declaration */
int num = 0;
int result = 0;
/* Getting number from user for which max prime quadruplet value is
to be found */
printf("\nEnter the number :");
scanf("%d", &num);
result = Is_Prime( num );
/* Printing the result to standard output */
if (TRUE == result)
printf("\n%d is a prime number\n", num);
else
printf("\n%d is not a prime number\n", num);
return 0;
}
int Is_Prime( int num )
{
int i = 0;
/* Checking whether number is negative. If num is negative, making
it positive */
if( 0 > num )
num = -num;
/* Checking whether number is less than 2 */
if( 2 > num )
return FALSE;
/* Checking if number is 2 */
if( 2 == num )
return TRUE;
/* Checking whether number is even. Even numbers
are not prime numbers */
if( 0 == ( num % 2 ))
return FALSE;
/* Checking whether the number is divisible by a smaller number
1 += 2, is done to skip checking divisibility by even numbers.
Iteration reduced to half */
for( i = 3; i < num; i += 2 )
if( 0 == ( num % i ))
/* Number is divisible by some smaller number,
hence not a prime number */
return FALSE;
return TRUE;
}
I Have Use This Idea For Finding If The No. Is Prime or Not:
#include <conio.h>
#include <iostream>
using namespace std;
int main() {
int x, a;
cout << "Enter The No. :";
cin >> x;
int prime(unsigned int);
a = prime(x);
if (a == 1)
cout << "It Is A Prime No." << endl;
else
if (a == 0)
cout << "It Is Composite No." << endl;
getch();
}
int prime(unsigned int x) {
if (x == 1) {
cout << "It Is Neither Prime Nor Composite";
return 2;
}
if (x == 2 || x == 3 || x == 5 || x == 7)
return 1;
if (x % 2 != 0 && x % 3 != 0 && x % 5 != 0 && x % 7 != 0)
return 1;
else
return 0;
}
if(number%2!=0)
cout<<"Number is prime:"<<endl;
The code is incredibly false. 33 divided by 2 is 16 with reminder of 1 but it's not a prime number...