Random Class
Assembly: mscorlib (in mscorlib.dll)
Pseudo-random numbers are chosen with equal probability from a finite set of numbers. The chosen numbers are not completely random because a definite mathematical algorithm is used to select them, but they are sufficiently random for practical purposes. The current implementation of the Random class is based on Donald E. Knuth's subtractive random number generator algorithm. For more information, see D. E. Knuth. "The Art of Computer Programming, volume 2: Seminumerical Algorithms". Addision-Wesley, Reading, MA, second edition, 1981.
The random number generation starts from a seed value. If the same seed is used repeatedly, the same series of numbers is generated. One way to produce different sequences is to make the seed value time-dependent, thereby producing a different series with each new instance of Random.
To improve performance, create one Random to generate many random numbers over time, instead of repeatedly creating a new Random to generate one random number.
To generate a cryptographically secure random number suitable for creating a random password, for example, use a class derived from System.Security.Cryptography.RandomNumberGenerator such as System.Security.Cryptography.RNGCryptoServiceProvider.
The following code example creates Random objects with different overloads of the class constructor and generates sequences of random integers and doubles from the objects.
// Example of the Random class constructors and Random.NextDouble( ) // method. using System; using System.Threading; public class RandomObjectDemo { // Generate random numbers from the specified Random object. static void RunIntNDoubleRandoms( Random randObj ) { // Generate the first six random integers. for( int j = 0; j < 6; j++ ) Console.Write( " {0,10} ", randObj.Next( ) ); Console.WriteLine( ); // Generate the first six random doubles. for( int j = 0; j < 6; j++ ) Console.Write( " {0:F8} ", randObj.NextDouble( ) ); Console.WriteLine( ); } // Create a Random object with the specified seed. static void FixedSeedRandoms( int seed ) { Console.WriteLine( "\nRandom numbers from a Random object with " + "seed = {0}:", seed ); Random fixRand = new Random( seed ); RunIntNDoubleRandoms( fixRand ); } // Create a random object with a timer-generated seed. static void AutoSeedRandoms( ) { // Wait to allow the timer to advance. Thread.Sleep( 1 ); Console.WriteLine( "\nRandom numbers from a Random object " + "with an auto-generated seed:" ); Random autoRand = new Random( ); RunIntNDoubleRandoms( autoRand ); } static void Main( ) { Console.WriteLine( "This example of the Random class constructors and " + "Random.NextDouble( ) \n" + "generates the following output.\n" ); Console.WriteLine( "Create Random objects, and then generate and " + "display six integers and \nsix doubles from each."); FixedSeedRandoms( 123 ); FixedSeedRandoms( 123 ); FixedSeedRandoms( 456 ); FixedSeedRandoms( 456 ); AutoSeedRandoms( ); AutoSeedRandoms( ); AutoSeedRandoms( ); } } /* This example of the Random class constructors and Random.NextDouble( ) generates the following output. Create Random objects, and then generate and display six integers and six doubles from each. Random numbers from a Random object with seed = 123: 2114319875 1949518561 1596751841 1742987178 1586516133 103755708 0.01700087 0.14935942 0.19470390 0.63008947 0.90976122 0.49519146 Random numbers from a Random object with seed = 123: 2114319875 1949518561 1596751841 1742987178 1586516133 103755708 0.01700087 0.14935942 0.19470390 0.63008947 0.90976122 0.49519146 Random numbers from a Random object with seed = 456: 2044805024 1323311594 1087799997 1907260840 179380355 120870348 0.21988117 0.21026556 0.39236514 0.42420498 0.24102703 0.47310170 Random numbers from a Random object with seed = 456: 2044805024 1323311594 1087799997 1907260840 179380355 120870348 0.21988117 0.21026556 0.39236514 0.42420498 0.24102703 0.47310170 Random numbers from a Random object with an auto-generated seed: 380213349 127379247 1969091178 1983029819 1963098450 1648433124 0.08824121 0.41249688 0.36445811 0.05637512 0.62702451 0.49595560 Random numbers from a Random object with an auto-generated seed: 861793304 2133528783 1947358439 124230908 921262645 1087892791 0.56880819 0.42934091 0.60162512 0.74388610 0.99432979 0.30310005 Random numbers from a Random object with an auto-generated seed: 1343373259 1992194672 1925625700 412915644 2026910487 527352458 0.04937517 0.44618494 0.83879212 0.43139707 0.36163507 0.11024451 */
Windows 98, Windows 2000 SP4, Windows CE, Windows Millennium Edition, Windows Mobile for Pocket PC, Windows Mobile for Smartphone, Windows Server 2003, Windows XP Media Center Edition, Windows XP Professional x64 Edition, Windows XP SP2, Windows XP Starter Edition
The .NET Framework does not support all versions of every platform. For a list of the supported versions, see System Requirements.