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windows programming

Rand 랜덤넘버

rand

function

<cstdlib>

int rand ( void );

Generate random number

Returns a pseudo-random integral number in the range 0 to RAND_MAX.

This number is generated by an algorithm that returns a sequence of apparently non-related numbers each time it is called. This algorithm uses a seed to generate the series, which should be initialized to some distinctive value using srand.

RAND_MAX is a constant defined in <cstdlib>. Its default value may vary between implementations but it is granted to be at least 32767.

A typical way to generate pseudo-random numbers in a determined range using rand is to use the modulo of the returned value by the range span and add the initial value of the range:

( value % 100 ) is in the range 0 to 99
( value % 100 + 1 ) is in the range 1 to 100
( value % 30 + 1985 ) is in the range 1985 to 2014

Notice though that this modulo operation does not generate a truly uniformly distributed random number in the span (since in most cases lower numbers are slightly more likely), but it is generally a good approximation for short spans.

Parameters

(none)

Return Value

An integer value between 0 and RAND_MAX.

Example

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/* rand example: guess the number */ #include <stdio.h> #include <stdlib.h> #include <time.h> int main () { int iSecret, iGuess; /* initialize random seed: */ srand ( time(NULL) ); /* generate secret number: */ iSecret = rand() % 10 + 1; do { printf ("Guess the number (1 to 10): "); scanf ("%d",&iGuess); if (iSecret<iGuess) puts ("The secret number is lower"); else if (iSecret>iGuess) puts ("The secret number is higher"); } while (iSecret!=iGuess); puts ("Congratulations!"); return 0; }

Output:

Guess the number (1 to 10): 5 The secret number is higher Guess the number (1 to 10): 8 The secret number is lower Guess the number (1 to 10): 7 Congratulations!

In this example, the random seed is initialized to a value representing the second in which the program is executed (time is defined in the header <ctime>). This way to initialize the seed is generally a good enough option for most randoming needs.