Results 21 to 30 of about 9,369 (262)

Reservoir Simulator Runtime Enhancement Based on a Posteriori Error Estimation Techniques

open access: yesOil & Gas Science and Technology, 2016
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

Non-statistical physically reasonable technique for a posteriori estimation of experimental data error

open access: yesComputer Assisted Methods in Engineering and Science, 2022
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  

Postprocessing and reliability evaluation of the one-dimensional numerical simulation results in mechanical problems

open access: yesComputer Assisted Methods in Engineering and Science, 2019
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

open access: yesPharmaceuticals, 2022
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]

open access: yesMathematics of Computation, 2007
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]

open access: yesSIAM Journal on Numerical Analysis, 2016
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
openaire   +2 more sources

A Posteriori Error Estimates for Domain Decomposition Methods

open access: yes, 2023
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
openaire   +2 more sources

Multigoal-oriented a posteriori error control for heated material processing using a generalized Boussinesq model

open access: yesComptes Rendus. Mécanique, 2023
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

open access: yesAdvanced Engineering Materials, EarlyView.
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

open access: yesAdvanced Engineering Materials, EarlyView.
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

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