- JAVASCRIPT RANDOM NUMBER GENERATOR ALGORITHM GENERATOR
- JAVASCRIPT RANDOM NUMBER GENERATOR ALGORITHM 32 BIT
- JAVASCRIPT RANDOM NUMBER GENERATOR ALGORITHM PLUS
The period can be shortened or lengthened by adjusting the amount of history variables stored. Storing and using the history of the last four numbers in this manner results in an RNG with a longer period, here the period is 2^128-1. New numbers are generated by applying various shifts and XORs to x, which represents the number generated four calls ago. w represents most recently generated number, and a history of the last four generated numbers is maintained with the inclusion of the x, y and z variables. The state of the RNG is described by the four uint variables x, y, z and w.
JAVASCRIPT RANDOM NUMBER GENERATOR ALGORITHM 32 BIT
The method NextUInt provides the simplest example because it returns the generated 32 bit number ( uint) without any further manipulation:
JAVASCRIPT RANDOM NUMBER GENERATOR ALGORITHM GENERATOR
The random number generator (RNG) used generates new numbers using just bitwise XOR and left and right shifts. The current version of FastRandom therefore implements XOR-shift and should also provide good random sequences for all seed values (including 0). Forum posters pointed out that some seeds generated a sequence of the same number, and whilst investigating the solution, I came across another of Marsaglia's algorithms utilizing an XOR-shift technique that was even faster than MWC. The first version of FastRandom posted on CodeProject used a multiply-with-carry (MWC) algorithm devised by George Marsaglia. I then discovered that a number of further performance improvements could be made to the Next*() methods. FastRandom's Reinitialise() methods, therefore, provide a nice performance boost over System.Random in that case. That simulation requires that the RNG be reset with a given seed 1000s of times per second. I created FastRandom in order to achieve greater speed in a prey capture simulation within another project, SharpNEAT. Each sequence can be represented by a single seed value ( int). An alternative might be to cache random numbers in an array, but that approach is limited by memory capacity and the fact that you may also want a large number of different sequences cached. This provides a vast speed improvement if you need to reset the pseudo-random number sequence many times, e.g., if you want to re-generate the same sequence many times. Allows fast re-initialization with a seed, unlike System.Random which accepts a seed at construction time only, which then executes a relatively expensive initialization routine.The like named methods are functionally equivalent to those in System.Random.
JAVASCRIPT RANDOM NUMBER GENERATOR ALGORITHM PLUS
This class implements all of the methods that System.Random does plus some additional methods for generating random uints and booleans. Up to 8x faster, depending on which methods are called and which CLR is used (see table below). At the time of writing, I could find no information on the period of System.Random for comparison. See the above paper to see how this can be easily extended if you need a longer period. This particular implementation of XOR-shift has a period of 2^128-1.
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NET framework's System.Random class to provide some advantages: Here I present a class that can be substituted in place for the the.