Evaluation of Pseudo-Random Number Generation on GPU Cards
Computation, 2021 Monte Carlo methods rely on sequences of random numbers to obtain solutions to many problems in science and engineering. In this work, we evaluate the performance of different pseudo-random number generators (PRNGs) of the Curand library on a number of ...
Tair Askar +3 more
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Shifted Sobol points and multigrid Monte Carlo simulation
Discrete and Continuous Models and Applied Computational Science, 2021 Multidimensional integrals arise in many problems of physics. For example, moments of the distribution function in the problems of transport of various particles (photons, neutrons, etc.) are 6-dimensional integrals.
Aleksandr A. Belov, Maxim A. Tintul
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Applying AVX512 vectorization to improve the performance of a random number generator
Труды Института системного программирования РАН, 2018 The generation of uniformly distributed random numbers is necessary for computer simulation by Monte Carlo methods and molecular dynamics. Generators of pseudo-random numbers (GPRS) are used to generate random numbers.
M. S. Guskova +2 more
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Advanced Statistical Testing of Quantum Random Number Generators
Entropy, 2018 Pseudo-random number generators are widely used in many branches of science, mainly in applications related to Monte Carlo methods, although they are deterministic in design and, therefore, unsuitable for tackling fundamental problems in security and ...
Aldo C. Martínez +5 more
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Comparing Halton and Sobol Sequences in Integral Evaluation
Zanco Journal of Pure and Applied Sciences, 2019 Halton and Sobol sequences are two of the most popular number sets used in quasi-Monte Carlo methods. These sequences are effectively used instead of pseudo random numbers in the evaluation of integrals.
Main Article Content Nadia A. Mohammed
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Placental Blood-Flow Velocity Quantification From Diffusion MRI. [PDF]
Magn Reson MedABSTRACT Purpose Altered placental capillary blood flow is closely linked to obstetric complications, yet quantifying capillary‐scale blood velocity remains challenging with existing imaging methods. This is partially because capillary networks form disordered microvascular beds at the voxel scale, rather than coherent, directional vessels.
Yang Z +14 more
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A comparative analysis on computational methods for fitting an ERGM to biological network data [PDF]
Network Biology, 2015 Exponential random graph models (ERGM) based on graph theory are useful in studying global biological network structure using its local properties. However, computational methods for fitting such models are sensitive to the type, structure and the number
Sudipta Saha, Munni Begum
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Research on Random Discrete Ordinates Method Based on Quasi-Monte Carlo Integration Technique
Yuanzineng kexue jishuThe discrete ordinates (SN) method proposed by Carlson constitutes an angular discretization for neutron transport equation. Owing to its superior computational accuracy and efficiency compared to alternative numerical approaches, the SN method has been ...
DAI Tao, XU Longfei, LI Baiwen, SHEN Huayun, HU Yuan, MA Ruiyao
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Global and regional burden of colorectal cancer potentially related to Helicobacter pylori exposure: a risk attribution modelling study. [PDF]
eGastroenterologyLi Y +7 more
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Examining the joint impact of missing data mechanisms and item parameter drift on the accuracy of item response theory-based test equating. [PDF]
PLoS OneBilicioglu Gunes A, Zeybekoglu Yesil S.
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