An Easily Computable Error Estimator In Space And Time For The Wave Equation

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The p-Laplacian problem -del & sdot; ((mu + |del u|(p-2))del u) = f is considered, where mu is a given positive number. An anisotropic a posteriori residual-based error estimator is presented. The error estimator is shown to be equivalent, up to higher ord ...

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An Easily Computable Error Estimator In Space And Time For The Wave Equation

Chattez avec Graph Search

Application of Deep Learning and Geospatial Analysis in Soil Loss Risk in the Moulouya Watershed, Morocco

Anisotropic Adaptive Finite Elements for a p-Laplacian Problem

Spectral Estimators for High-Dimensional Matrix Inference

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

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Adaptive Finite Elements with Large Aspect Ratio. Application to Aluminium Electrolysis

Asynchronous Diffusion Learning with Agent Subsampling and Local Updates

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A Spectral Ansatz for The Long-Time Homogenization of The Wave Equation

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Partial discharge localization in power transformer tanks using machine learning methods

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Probabilistic and Deterministic Wellposedness for Low Regularity Dispersive Equations

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A Streamline Upwind Petrov-Galerkin Reduced Order Method for Advection-Dominated Partial Differential Equations Under Optimal Control

An equilibrated flux a posteriori error estimator for defeaturing problems

A Shape Derivative Approach to Domain Simplification

Analysis-aware defeaturing of complex geometries with Neumann features