Случайные числа
New method for the random number generation.
Many
researches in a rich variety of sciences, including quantum,
statistical, and nuclear physics, quantum chemistry, material science,
and many others, rely heavily in their research on the use of random
numbers. The most efficient way of generating sequences of random
numbers is based on deterministic recursive rules, which produce
pseudorandom numbers. The design of the incrementally powerful random
number generators (RNG) that behave as realizations of independent
uniformly distributed random variables and approximate ``true
randomness'' [1] remains one of the major challenges for computational
science. |
Shown in the figure is neither Vasily Kandinsky nor Kasimir Malevich artistic work, but the visualization of the approach developed in [2]. Each region of the suprematic square denoted with the specific color, is coded by the five bits of the random numbers. The more bits included, the richer picture will appear and will be plotted, and more randomness will be generated. |
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(c) ИТФ им. Л.Д. Ландау РАН, (с) отдел прикладных сетевых исследований НЦЧ РАН |