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

Generating Sweater Knitting Patterns

I wanted to knit a sweater and use yarn that I already had. In no single color was there enough yarn to finish the sweater. But I did have a type of yarn in equal amounts of 6 different colors, which when combined would be enough for the sweater. Blended together the colors looked great but I wanted the look to be random. Using numbers 1 through 6, your random number generator gave me a beautiful sequence for the colors. I also wanted the number of rows done in any one color to vary randomly from 1 to 3. A second list tells me how many rows to knit before changing colors.

—Barb Gates

Arts and Crafts Data Generation R Integer Generator 2004

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Testimonials

Seeding Molecular Dynamics and Monte Carlo Simulations

Generating Sweater Knitting Patterns