Results 61 to 70 of about 884,278 (306)
Random Walks Arising in Random Number Generation
The Annals of Probability, 1987 Random number generators often work by recursively computing \(X_{n+1}\equiv aX_ n+b(mod p)\). Various schemes exist for combining these random number generators. In one scheme, a and b are themselves chosen each time from another generator. Assuming that this second source is truly random, we investigate how long it takes for \(X_ n\) to become random.
Chung, F. R. K. +2 more
openaire +3 more sources
The rank of sparse random matrices [PDF]
, 2022 We determine the asymptotic normalized rank of a random matrix A over an arbitrary field with prescribed numbers of nonzero entries in each row and column. As an application we obtain a formula for the rate of low-density parity check codes. This formula
Ergür, Alperen A. +4 more
core +1 more source
Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Generation of Random Numbers and Parallel Random Number Streams for Monte Carlo Simulations
Моделирование и анализ информационных систем, 2012 Modern methods and libraries for high quality pseudorandom number generation and for generation of parallel random number streams for Monte Carlo simulations are considered.
L. Yu. Barash, L. N. Shchur
doaj +3 more sources
Dynamical Pseudo-Random Number Generator Using Reinforcement Learning
Applied Sciences, 2022 Pseudo-random number generators (PRNGs) are based on the algorithm that generates a sequence of numbers arranged randomly. Recently, random numbers have been generated through a reinforcement learning mechanism. This method generates random numbers based
Sungju Park +3 more
doaj +1 more source
, 2021 This is a collection of ten datasets, each containing ten iid zero-mean, unit-variance random numbers. These are used in an example of the showyourwork open source scientific article workflow.Created using showyourwork from this GitHub ...
Luger, Rodrigo
core +1 more source
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
Limiting behaviour of random spatial graphs and asymptotically homogeneous RWRE [PDF]
, 2005 We consider several random spatial graphs of the nearest-neighbour type, including the k- nearest neighbours graph, the on-line nearest-neighbour graph, and the minimal directed spanning tree.
Wade, Andrew R +2 more
core
Vectorization Studies of Random Number Generators on Intel’s Haswell Architecture [PDF]
, 2014 Project Specification This project concerns the field of vectorization for Computing in High Energy Physics at CERN,Geneva. This paper summarises the results and progress of vectorizing two newly proposed counter based random number generators on Intel ...
Wenzel, Sandro +2 more
core +1 more source
FEBS Letters, EarlyView.The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source