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https://issues.apache.org/jira/browse/RNG-16?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16865548#comment-16865548
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Abhishek Singh Dhadwal commented on RNG-16:
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Hello,
I shall be working on the task at hand. Upon discussion with Gilles and Alex
Herbert, following are the details about the plan for implementation of the RNG.
There shall be a base abstract class (AbstractLCG) which shall take inputs of
a,c,m and the seed and return integer values as required.
There shall be a child class (KnuthLewisLCG) which shall extend the
aforementioned class with the values of a, c and m referred from [Numerical
Recipes
|https://en.wikipedia.org/wiki/Linear_congruential_generator#Parameters_in_common_use]
The current questions/queries at hand are :
* Will it pass the test suite?
* Can using modulo 2^32 increase performance (to be tested using JMH)
* Comparison between KnuthLewisDirect and the aforementioned child class
> Linear congruential generators
> ------------------------------
>
> Key: RNG-16
> URL: https://issues.apache.org/jira/browse/RNG-16
> Project: Commons RNG
> Issue Type: Sub-task
> Reporter: Emmanuel Bourg
> Priority: Minor
> Labels: gsoc2019
>
> This is a RFE for implementing linear congruential generators:
> https://en.wikipedia.org/wiki/Linear_congruential_generator
> This type of random generator is often used in language runtimes (Borland C,
> GCC, Delphi, VB and even Java). Preconfigured generators using the same
> parameters as these languages would be convenient for reproducing the same
> number sequences in Java.
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