Stochastic Hydrodynamics of Complex Fluids: Discretisation and Entropy Production
Entropy, 2022 Many complex fluids can be described by continuum hydrodynamic field equations, to which noise must be added in order to capture thermal fluctuations.
Michael E. Cates +4 more
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Use of a structure aware discretisation algorithm for Bayesian networks applied to water quality predictions [PDF]
, 2019 Bayesian networks have become a popular modelling technique in many fields, however there are several design decisions that, if poorly made, can result in models with insufficient evidence to make good predictions.
Mayfield, Helen J. +4 more
core +1 more source
Canonical momenta in digitized Su(2) lattice gauge theory: definition and free theory
European Physical Journal C: Particles and Fields, 2023 Hamiltonian simulations of quantum systems require a finite-dimensional representation of the operators acting on the Hilbert space $$\mathcal {H}$$ H . Here we give a prescription for gauge links and canonical momenta of an SU(2) gauge theory, such that
Timo Jakobs +7 more
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The gradient discretisation method for the Navier–Stokes problem coupled with the heat equation
Results in Applied Mathematics, 2021 In this work, we extend the gradient discretisation method to the Navier–Stokes model coupled with the heat equation. The gradient discretisation method is a framework that covers different numerical methods, conforming and non conforming methods.
Yahya Alnashri
doaj +1 more source
“FISTA” in Banach spaces with adaptive discretisations
Computational Optimization and Applications, 2022 Accepted ...
Antonin Chambolle, Robert Tovey
openaire +4 more sources
A Cartesian-Grid Discretisation Scheme Based on Local Integrated RBFNs for Two-Dimensional Elliptic Problems [PDF]
, 2009 This paper reports a new numerical scheme based on Cartesian grids and local integrated radial-basis-function networks (IRBFNs) for the solution of second-order elliptic differential problems defined on two-dimensional regular and irregular domains.
N. Mai-Duy +3 more
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lumpR 2.0.0: an R package facilitating landscape discretisation for hillslope-based hydrological models [PDF]
Geoscientific Model Development, 2017 The characteristics of a landscape pose essential factors for hydrological processes. Therefore, an adequate representation of the landscape of a catchment in hydrological models is vital.
T. Pilz, T. Francke, A. Bronstert
doaj +1 more source
Advanced Discretisation and Visualisation Methods for Performance Profiling of Wind Turbines
Energies, 2021 Wind turbines are typically organised as a fleet in a wind park, subject to similar, but varying, environmental conditions. This makes it possible to assess and benchmark a turbine’s output performance by comparing it to the other assets in the fleet ...
Michiel Dhont +2 more
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Discretisations of rough stochastic PDEs [PDF]
The Annals of Probability, 2018 56 ...
Hairer, M, Matetski, K
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Discretisations and Preconditioners for Magnetohydrodynamics Models
CoRR, 2022 The magnetohydrodynamics (MHD) equations are generally known to be difficult to solve numerically, due to their highly nonlinear structure and the strong coupling between the electromagnetic and hydrodynamic variables, especially for high Reynolds and coupling numbers.
openaire +2 more sources