Testimonials

Randomly chosen testimonials:

Seeding Molecular Dynamics and Monte Carlo Simulations

I write and use molecular dynamics and Monte Carlo simulators which have their own pseudo-random number generators (for portability and reproducibility). These require the user to input a random number seed. If I want to perform an ensemble of N statistically independent runs (e.g., with different initial conditions), I need N independent seeds. So I use your site to generate seeds to paste into my input script, i.e., your random generator generates random seeds for input to a pseudo-random generator. Say that 5 times fast.

—Steve Plimpton, Sandia National Labs

Simulation Data Generation R Integer Generator 2008

Wildlife Sampling

I have used your random list generator, as well as your random integer generator, to pick cells in a grid that was over-layed a digital picture of an area in order to randomly select wildlife sampling locations. It has been a most useful program, and has saved me a lot of time in getting my wildlife inventory and monitoring program up and running. Thanks a bunch!

—Dan Dawson, Department of Wildlife Ecology and Conservation, University of Florida

Research Selection/Sampling R List Randomizer R Integer Generator 2005

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Testimonials

Seeding Molecular Dynamics and Monte Carlo Simulations

Wildlife Sampling