Results 21 to 30 of about 497,613 (208)
The aim of this paper is to derive a posteriori error estimates for semilinear parabolic interface problems. More specifically, optimal order a posteriori error analysis in the - norm for semidiscrete semilinear parabolic interface problems is derived by
Younis Abid Sabawi
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A quoi sert la modalisation a posteriori ?
This paper explores Paul Larreya’s concept of a posteriori modalisation. We first come back on Larreya’s distinction between a priori and a posteriori modalisation and suggest that his typology of the uses and functions of a posteriori modalisation ...
Grégory Furmaniak
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Considerations on a posteriori probability
In this first paper of 1911 relating to the sex ratio at birth, Gini repurposed a Laplace’s succession rule according to a Bayesian version. The Gini's intuition consisted in assuming for prior probability a Beta type distribution and introducing the ...
Corrado Gini
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A note on Probably Certifiably Correct algorithms [PDF]
Many optimization problems of interest are known to be intractable, and while there are often heuristics that are known to work on typical instances, it is usually not easy to determine a posteriori whether the optimal solution was found.
Bandeira, Afonso S.
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A priori and a posteriori error estimates for a virtual element spectral analysis for the elasticity equations [PDF]
We present a priori and a posteriori error analyses of a virtual element method (VEM) to approximate the vibration frequencies and modes of an elastic solid. We analyse a variational formulation relying only on the solid displacement and propose an $H^{1}
D. Mora, G. Rivera
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An Efficient Gaussian Filter Based on Gaussian Symmetric Markov Random Field
This article presents a new image denoising algorithm that uses Gaussian Symmetric Markov random fields based on maximum a posteriori estimation. First, an image denoising model based on Gaussian Symmetric Markov random fields is built, and the image ...
Fusong Xiong +3 more
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Universal a posteriori metrics game [PDF]
Over binary input channels, uniform distribution is a universal prior, in the sense that it allows to maximize the worst case mutual information over all binary input channels, ensuring at least 94.2% of the capacity. In this paper, we address a similar question, but with respect to a universal generalized linear decoder.
Abbe, Emmanuel +1 more
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Calculations of point defect energetics with Density Functional Theory (DFT) can provide valuable insight into several optoelectronic, thermodynamic, and kinetic properties. These calculations commonly use methods ranging from semi-local functionals with
Danny Broberg +12 more
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Elliptic reconstruction and a posteriori error estimates for fully discrete linear parabolic problems [PDF]
We derive a posteriori error estimates for fully discrete approximations to solutions of linear parabolic equations. The space discretization uses finite element spaces that are allowed to change in time. Our main tool is an appropriate adaptation of the
Lakkis, Omar, Makridakis, Charalambos
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A posteriori error estimation and adaptivity in hp virtual elements [PDF]
An explicit and computable error estimator for the hp\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength ...
L. Veiga, G. Manzini, L. Mascotto
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