Method 1(Data Type) (minimum value + math. Random () * (maximum value-Minimum value + 1 ))Example:(INT) (1 + math. Random () * (10-1 + 1 ))INT-type numbers from 1 to 10Method 2Obtain Random NumberFor (INT I = 0; I {System. Out. println (INT) (1 +
This paper mainly introduces 3 kinds of methods of obtaining random number in Java, mainly using random () function to realize
Method 1
(data type) (Minimum +math.random () * (maximum-min +1)) Example:
(int) (1+math.random () * (10-1+1))
Abstract pseudo-random numbers are widely used in computer software design. This article introduces a mathematical method to use computers to generate pseudo-random numbers, that is, the linear same-remainder method. Any pseudo-random numbers are
There is no real random number generator in the computer, but it can make the generated digital repetition rate very low, it seems like a real random number, to achieve this function
ProgramIt is called a pseudo-random number generator.
There are
There is no real random number generator in the computer, but it can make the resulting digital repetition rate very low, so it looks like a real random number, the program to achieve this function is called pseudo-random number generator.There are
RandomThe random class in Java generates a pseudo-random number, uses the seed of 48-bit, and then calls a linear congruential formula linear congruence equation (Donald Knuth's programming Art of 3.2.1)If two random instances use the same seed, and
Sourcehttps://blogs.unity3d.com/cn/2015/01/07/a-primer-on-repeatable-random-numbers/(English version)Http://www.manew.com/thread-37144-1-1.htmlNo matter what kind of program you create, you can almost do without random numbers. If you want to
Introduction to linear homogeneous random number generator:
The old LCG (linear congruential generator) represents the best and simplest pseudo-random number generator algorithm. The main reason is that it is easy to understand, easy to implement,
RandomReproduced content, there are changes, thanks to the original author ()The random class in Java generates a pseudo-random number, uses the seed of 48-bit, and then calls a linear congruential formula linear congruence equation (Donald Knuth's
In a real sense, random numbers (or random events) are randomly generated based on the distribution probability shown in the experiment process. The results are unpredictable, is invisible. The Random Functions in the computer are simulated
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