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How does rand() work in C? - Stack Overflow Like rand(), rand_r() returns a pseudo-random integer in the range [0, RAND_MAX] The seedp argument is a pointer to an unsigned int that is used to store state between calls If rand_r() is called with the same initial value for the integer pointed to by seedp, and that value is not modified between calls, then the same pseudo-random sequence
Whats the Right Way to use the rand () Function in C++? int randint() { int random = rand(); return random; } int main() { To get a unique sequence the random number generator should only be seeded once during the life of the application As long as you don't try and start the application mulitple times a second you can use time() to get a ever changing seed point that only repeats every
How do I get a specific range of numbers from rand ()? Related: How to generate a random int in C? Here is my answer there, which contains the definition for my int utils_rand(int min, int max) func, which returns a random number using rand() which is in the specific range from min to max, inclusive, thereby also answering this question
How to generate a random int in C? - Stack Overflow If we use more than 53 bits, we get rounding bias Some programmers write code like rand() (double)RAND_MAX, but rand() might return only 31 bits, or only 15 bits in Windows OpenSSL's RAND_bytes() seeds itself, perhaps by reading dev urandom in Linux
How does rand() work? Does it have certain tendencies? Is there . . . Now, if you are interested on the reasons why the above is true, here are the gory details on how rand() works: rand() is what's called a "linear congruential generator " This means that it employs an equation of the form: x n+1 = (*a****x n + ***b*) mod m where x n is the n th random number, and a and b are some predetermined integers
c++ - How does modulus and rand () work? - Stack Overflow The equivalent half-open range is [0, n), and rand() % n == rand() % (n-0) + 0 So the lesson is: don't confuse half-open ranges for closed ranges A second lesson is that this shows another way in which <random> is easier to use than rand() and manually computing your own distributions