ACORN: Difference between revisions
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Advantages of ACORN (from http://ACORN.wikramaratna.org/critique.html): | Advantages of ACORN (from http://ACORN.wikramaratna.org/critique.html): | ||
<blockquote> | |||
<li>extremely light-weight code (a few lines) with reproducible results in any high-level language and on any platform; </li> | <li>extremely light-weight code (a few lines) with reproducible results in any high-level language and on any platform; </li> | ||
<li>theoretical convergence is mathematically proven | <li>computational and statistical performance comparable to the best currently available methods</li> | ||
<li>all current empirical test suites for PRNGs are passed (i.e TestU01 current version, in 2019); </li> | <li>theoretical convergence is mathematically proven </li> | ||
<li>all current empirical test suites for PRNGs are passed (i.e TestU01 current version, in 2019); this is better than the widely-used Mersenne Twister which consistently fails on two of the tests</li> | |||
<li>can be easily extended to give sequences with longer period length, and improved statistical performance over higher dimensions and with higher precision.</li> | <li>can be easily extended to give sequences with longer period length, and improved statistical performance over higher dimensions and with higher precision.</li> | ||
</blockquote> | |||
==Web site== | ==Web site== | ||
Revision as of 10:55, 5 July 2019
ACORN is the Additive Congruential Random Number generator [1] introduced by Roy Wikramaratna in 1989.
Advantages of ACORN (from http://ACORN.wikramaratna.org/critique.html):
extremely light-weight code (a few lines) with reproducible results in any high-level language and on any platform; computational and statistical performance comparable to the best currently available methods theoretical convergence is mathematically proven all current empirical test suites for PRNGs are passed (i.e TestU01 current version, in 2019); this is better than the widely-used Mersenne Twister which consistently fails on two of the tests can be easily extended to give sequences with longer period length, and improved statistical performance over higher dimensions and with higher precision.
Web site
The web site ACORN.wikramaratna.org describes ACORN in detail and provides complete references.