Results 21 to 30 of about 9,369 (262)
Reservoir Simulator Runtime Enhancement Based on a Posteriori Error Estimation Techniques
In this work, we show how the a posteriori error estimation techniques proposed in [Di Pietro et al. (2014) Computers & Mathematics with Applications 68, 2331-2347] can be efficiently employed to improve the performance of a compositional reservoir ...
Gratien Jean-Marc +2 more
doaj +1 more source
In the paper presented is an application of the physically based global method (PBGM) to a posteriori estimation of experimental data error. It is proposed here to build data error measures by spanning a high quality physically reasonable smoothing fit ...
Jacek Magiera
doaj
This work addresses extended formulation of a new approach proposed to control numerical data error. It includes developing postprocessing techniques for the approximation of data given in a discrete form and estimation (evaluation) of this data a ...
Jan Wojtas
doaj +1 more source
Development and Validation of Open-Source R Package HMCtdm for Therapeutic Drug Monitoring
Most therapeutic drug monitoring (TDM) packages are based on the maximum a posteriori (MAP) estimation. In this study, HMCtdm, a new TDM package, was developed using a Hamiltonian Monte Carlo (HMC) simulation.
Sooyoung Lee +5 more
doaj +1 more source
A posteriori error estimates for Maxwell equations [PDF]
Maxwell equations are posed as variational boundary value problems in the function space H ( curl )
openaire +2 more sources
A Posteriori Error Estimates for Pressure-Correction Schemes [PDF]
Summary: A posteriori error estimates for time discretization of the incompressible Stokes equations by pressure-correction methods are presented. We rigorously prove global upper bounds for the incremental backward Euler scheme as well as for the two-step backward differential formula method (BDF2) in rotational form.
Eberhard Bänsch, Andreas Brenner
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A Posteriori Error Estimates for Domain Decomposition Methods
Nowadays, a posteriori error control methods have formed a new important part of the numerical analysis. Their purpose is to obtain computable error estimates in various norms and error indicators that show distributions of global and local errors of a particular numerical solution.
Kraus, Johannes, Repin, Sergey
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In this work, we develop a posteriori error control for a generalized Boussinesq model in which thermal conductivity and viscosity are temperature-dependent. Therein, the stationary Navier–Stokes equations are coupled with a stationary heat equation. The
Beuchler, Sven +3 more
doaj +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source

