Results 121 to 130 of about 74,272 (306)

A Posteriori Error Analysis of hp-FEM for singularly perturbed problems [PDF]

open access: yes, 2014
We consider the approximation of singularly perturbed linear second-order boundary value problems by hp-finite element methods. In particular, we include the case where the associated differential operator may not be coercive.
Melenk, Jens M., Wihler, Thomas
core  

Biomolecular Interaction Prediction in the Pre‐ and Post‐AlphaFold Era: The 8th CAPRI Evaluation

open access: yesProteins: Structure, Function, and Bioinformatics, EarlyView.
ABSTRACT We report on the 8th CAPRI Evaluation period, capturing the assessment of CAPRI Rounds 47 to 55 (excluding the CASP and COVID‐related Rounds), which have witnessed the transition to AI‐driven prediction tools such as AlphaFold and related alternatives. The prediction Rounds in this evaluation are characterized by a high level of difficulty due
Marc F. Lensink   +5 more
wiley   +1 more source

A structurally localized ensemble Kalman filtering approach

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih   +1 more
wiley   +1 more source

On a method for a-posteriori error estimation of approximate solutions to parabolic problems [PDF]

open access: yes, 1994
summary:The aim of the paper is to derive a method for the construction of a-posteriori error estimate to approximate solutions to parabolic initial-boundary value problems.
Weisz, J.
core  

Are we misdiagnosing ensemble forecast reliability? On the insufficiency of spread–error and rank‐based reliability metrics

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We demonstrate that the spread–error relationship, rank histogram, and continuous rank probability score reliability component can falsely indicate reliability under climatological variance biases, yielding ensemble members that are overly or insufficiently extreme.
Arlan Dirkson, Mark Buehner
wiley   +1 more source

Enhancing Reference Tracking in Induction Motor Drives: A Hybrid Model Predictive Control and Artificial Neural Network Approach

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Induction motors (IMs) are widely used in industry for their robustness and cost‐effectiveness, yet their nonlinear and multivariable dynamics pose significant challenges for high‐performance speed control. Model Predictive Control (MPC) is a well‐established solution but suffers from limitations related to model accuracy and parameter ...
Asier del Rio   +4 more
wiley   +1 more source

A Posteriori Error Analysis of hp-Version Discontinuous Galerkin Finite Element Methods for Second-Order Quasilinear Elliptic Problems

open access: yes, 2006
We develop the a-posteriori error analysis of hp-version interior-penalty discontinuous Galerkin finite element methods for a class of second-order quasilinear elliptic partial differential equations.
Suli, Endre   +3 more
core  

Addressing Biases in Ice Jam Observations by Integrating Multi‐Source Data in a Forested Fluvial Landscape, Southern Quebec

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Exhaustive long‐term and large‐scale ice jam records are scarce in most cold river environments. Many discrete events occur in small, sparsely populated river systems and are poorly represented in open‐source databases. These observation biases are transferred to predictive models of ice jams and the collective understanding of their formation
Lisane Arsenault‐Boucher   +4 more
wiley   +1 more source

RECONSTRUCCIONES METODOLÓGICAS Y / O METODOLOGÍAS A POSTERIORI

open access: yesAstrolabio: Nueva Época, 2014
¿Es compatible una investigación cuya línea epistémico-política sea la perspectiva decolonial con las canónicas metodologías de investigación? ¿Es posible decolonizar la metodología? ¿No es acaso indispensable? Inquietudes de este tenor dan origen a este
Maria Eugenia Borsani
doaj  

Analysis-aware defeaturing: Problem setting and a posteriori estimation

open access: yes
Defeaturing consists in simplifying geometrical models by removing the geometrical features that are considered not relevant for a given simulation.
Chanon, Ondine   +2 more
core   +1 more source

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