Generate Random Number and String with C# | Visual Studio 2019
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Generate Random Number and String
Generate Random Number and String with C# | Visual Studio 2019
Pseudo-random numbers are chosen with equal probability from a finite set of numbers. The chosen numbers are not completely random because a mathematical algorithm is used to select them, but they are sufficiently random for practical purposes.
You can generate the same sequence of random numbers by providing the same seed value to the Random(Int32) constructor. The seed value provides a starting value for the pseudo-random number generation algorithm. The following example uses 100100 as an arbitrary seed value to instantiate the Random object, displays 20 random floating-point values, and persists the seed value. It then restores the seed value, instantiates a new random number generator, and displays the same 20 random floating-point values. Note that the example may produce different sequences of random numbers if run on different versions of the .NET Framework.
To produce different sequences of random numbers, you can make the seed value time-dependent, thereby producing a different series with each new instance of Random. The parameterized Random(Int32) constructor can take an Int32 value based on the number of ticks in the current time, whereas the parameterless Random() constructor uses the system clock to generate its seed value. However, on the .NET Framework only, because the clock has finite resolution, using the parameterless constructor to create different Random objects in close succession creates random number generators that produce identical sequences of random numbers. The following example illustrates how two Random objects that are instantiated in close succession in a .NET Framework application generate an identical series of random numbers. On most Windows systems, Random objects created within 15 milliseconds of one another are likely to have identical seed values.
Pseudo-random numbers are chosen with equal probability from a finite set of numbers. The chosen numbers are not completely random because a mathematical algorithm is used to select them, but they are sufficiently random for practical purposes.
You can generate the same sequence of random numbers by providing the same seed value to the Random(Int32) constructor. The seed value provides a starting value for the pseudo-random number generation algorithm. The following example uses 100100 as an arbitrary seed value to instantiate the Random object, displays 20 random floating-point values, and persists the seed value. It then restores the seed value, instantiates a new random number generator, and displays the same 20 random floating-point values. Note that the example may produce different sequences of random numbers if run on different versions of the .NET Framework.
To produce different sequences of random numbers, you can make the seed value time-dependent, thereby producing a different series with each new instance of Random. The parameterized Random(Int32) constructor can take an Int32 value based on the number of ticks in the current time, whereas the parameterless Random() constructor uses the system clock to generate its seed value. However, on the .NET Framework only, because the clock has finite resolution, using the parameterless constructor to create different Random objects in close succession creates random number generators that produce identical sequences of random numbers. The following example illustrates how two Random objects that are instantiated in close succession in a .NET Framework application generate an identical series of random numbers. On most Windows systems, Random objects created within 15 milliseconds of one another are likely to have identical seed values.
4 سال پیش
در تاریخ 1399/09/30 منتشر شده
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