Results 91 to 100 of about 15,933 (255)
Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger +7 more
wiley +1 more source
Hidden Symmetries of Stochastic Models
In the matrix product states approach to $n$ species diffusion processes the stationary probability distribution is expressed as a matrix product state with respect to a quadratic algebra determined by the dynamics of the process.
Boyka Aneva
doaj
Accelerating R with high performance linear algebra libraries [PDF]
Linear algebra routines are basic building blocks for the statistical software. In this paper we analyzed how can we improve R performance for matrix computations.
Bogdan Oancea +2 more
doaj
A lumped modelling framework for the epoxidation of vegetable oils and fatty acid methyl esters
Abstract Epoxidized vegetable oils and fatty acid methyl esters are promising bio‐based alternatives to phthalates for plasticizer applications. Their synthesis typically involves the reaction of unsaturated double bonds with peracetic acid in a biphasic liquid–liquid system, where the simultaneous occurrence of reaction and phase partitioning makes ...
Irene Presti +3 more
wiley +1 more source
Abstract This article presents a strategy for conducting regression analysis of zero‐truncated recurrent event data. The research is partly motivated by a pediatric mental health care (PMHC) program based on administrative data. We are particularly interested in how the occurrence of an event depends on its past occurrences and the associated ...
Anqi A. Chen +3 more
wiley +1 more source
Accelerating Secure Permutation: Application to Matrix Algebra
Homomorphic encryption (HE) is a critical tool for ensuring privacy and security in computing on sensitive data within untrusted environments. While HE offers advantages in non-interactive secure computation, it has not yet become practical for data ...
Jiwon Heo +3 more
doaj +1 more source
Abstract Homogeneous normalized random measures with independent increments represent a broad class of Bayesian nonparametric priors and thus are widely used. In this article, we obtain the strong law of large numbers, the central limit theorem (CLT), and the functional central limit theorem (fCLT) of such measures when the concentration parameter a ...
Junxi Zhang, Shui Feng, Yaozhong Hu
wiley +1 more source
The life and work of Ernest Sydney Keeping
Abstract This article reviews the life and contributions of Ernest S. Keeping (1895–1984), a British‐born physicist who became a mathematics professor at the University of Alberta in 1929. He played a pivotal role in shaping the university's Mathematics Department, serving as its head from 1954 to 1961, and continuing to teach until 1970, nine years ...
David R. Bellhouse, Christian Genest
wiley +1 more source
MODELING IN MAPLE AS THE RESEARCHING MEANS OF FUNDAMENTAL CONCEPTS AND PROCEDURES IN LINEAR ALGEBRA
The article is devoted to binary technology and "fundamental training technology." Binary training refers to the simultaneous teaching of mathematics and computer science, for example differential equations and Maple, linear algebra and Maple.
Vasil Kushnir
doaj
Full S-matrices and witten diagrams with relative L ∞ -algebras
The L ∞ -algebra approach to scattering amplitudes elegantly describes the non-trivial part of the S-matrix but fails to take into account the trivial part.
Luigi Alfonsi +4 more
doaj +1 more source

