Zobrazeno 1 - 10
of 3 865
pro vyhledávání: '"HILL, P. R."'
Experimental studies often fail to appropriately account for the number of collected samples within a fixed time interval for functional responses. Data of this nature appropriately falls under an Infill Asymptotic domain that is constrained by time
Externí odkaz:
http://arxiv.org/abs/2403.05969
Functional data present as functions or curves possessing a spatial or temporal component. These components by nature have a fixed observational domain. Consequently, any asymptotic investigation requires modelling the increased correlation among obs
Externí odkaz:
http://arxiv.org/abs/2403.05503
Publikováno v:
Computer Science Review, 2024, 53, pp.100655
Reproducibility is widely acknowledged as a fundamental principle in scientific research. Currently, the scientific community grapples with numerous challenges associated with reproducibility, often referred to as the ''reproducibility crisis.'' This
Externí odkaz:
http://arxiv.org/abs/2402.07530
Autor:
Antunes, Benjamin, Hill, David R. C
Pseudo-Random Number Generators (PRNGs) have become ubiquitous in machine learning technologies because they are interesting for numerous methods. The field of machine learning holds the potential for substantial advancements across various domains,
Externí odkaz:
http://arxiv.org/abs/2401.17345
The Mersenne Twister (MT) is a pseudo-random number generator (PRNG) widely used in High Performance Computing for parallel stochastic simulations. We aim to assess the quality of common parallelization techniques used to generate large streams of MT
Externí odkaz:
http://arxiv.org/abs/2401.17115
Publikováno v:
ISC High Performance 2022, May 2022, Hamburg, Germany. pp.354-371
Delivering a reproducible environment along with complex and up-to-date software stacks on thousands of distributed and heterogeneous worker nodes is a critical task. The CernVM-File System (CVMFS) has been designed to help various communities to dep
Externí odkaz:
http://arxiv.org/abs/2303.16675
To facilitate widespread adoption of automated engineering design techniques, existing methods must become more efficient and generalizable. In the field of topology optimization, this requires the coupling of modern optimization methods with solvers
Externí odkaz:
http://arxiv.org/abs/2303.13672
Autor:
Sherrill, Nathaniel, Parsons, Adam O., Baynham, Charles F. A., Bowden, William, Curtis, E. Anne, Hendricks, Richard, Hill, Ian R., Hobson, Richard, Margolis, Helen S., Robertson, Billy I., Schioppo, Marco, Szymaniec, Krzysztof, Tofful, Alexandra, Tunesi, Jacob, Godun, Rachel M., Calmet, Xavier
Publikováno v:
New J.Phys. 25 (2023) 9, 093012
We present a new framework to study the time variation of fundamental constants in a model-independent way. Model independence implies more free parameters than assumed in previous studies. Using data from atomic clocks based on $^{87}$Sr, $^{171}$Yb
Externí odkaz:
http://arxiv.org/abs/2302.04565