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Perfecting Simulations? The Quest for a Perfect Random Number Generator

Pseudo random number generators (PRNG) start with a seed value and will eventually repeat all the numbers they generate in exactly the same order. Putting in the same seed value will give precisely the same set of random numbers. On large scale Monte Carlo simulations (depends on generation of multiple random numbers), care has to be taken to make sure that the PRNG cycle is significantly longer than the quantity of random numbers needed or the pattern in the PRNG cycle can show up as an error producing pattern in the simulation results.

Keywords:: stem education, workforce development, technician training, advanced technological education

Disciplines:

Mathematics and Statistics / Statistics and Probability

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More about this material

Material Type:: Reference Material
Date Added to MERLOT:: July 18, 2016
Date Modified in MERLOT:: July 18, 2016
Author:: Intuitor
Submitter:: Barbra Bied Sperling

Primary Audience:: College General Ed, College Lower Division, College Upper Division, Graduate School, Professional
Technical Format:: Website
Mobile Compatibility:: Not specified at this time
Language:: English
Cost Involved:: No
Source Code Available:: No
Creative Commons:: No

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