Michael Bien's Weblog : Java 17's Enhanced Pseudo-Random Number Generators
Michael Bien's Weblog| Michael Bien's Weblog
The topic of generating random points on a unit sphere has come up several times here. The standard method using normal random samples generates points (x, y, z) in Cartesian coordinates. If you wanted points in spherical coordinates, you could first generate points in Cartesian coordinates, then convert the points to spherical coordinates. But it […] The post Random spherical coordinates first appeared on John D. Cook.| John D. Cook
Exactly one month ago I wrote about sampling points from a triangle. This post will look at the three dimensional analog, sampling from a tetrahedron. The generalization to higher dimensions works as well. Sampling from a triangle In the triangle post, I showed that a naive approach doesn’t work but a variation does. If the […] The post Random samples from a tetrahedron first appeared on John D. Cook.| John D. Cook
misc, web / Casino| pspaul's blog
Generating data with entropy, or random number generation (RNG), is a well-known difficult problem. Many crypto algorithms and protocols assumes random data is available. There are many implementations out there, including /dev/random in the BSD and Linux kernels and API Continue reading Dice Random Numbers→| Simon Josefsson's blog
My port has zero dependencies, works on Java 8, extends Random, and is released under the CC0 just like the original C implementation.| unascribed.com
Michael Bien's Weblog| Michael Bien's Weblog
Running the RNG to evaluate the output| www.gniibe.org
Asynchronous RNG output| www.gniibe.org
Use of XOR accumulator| www.gniibe.org
I start a project, named Gomti. It's a collection of configurations| www.gniibe.org
