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A‐posteriori error estimates for the finite element method

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TLDR
In this article, a-posteriori error estimates for finite element solutions are derived in an asymptotic form for h 0 where h measures the size of the elements.
Abstract
Computable a-posteriori error estimates for finite element solutions are derived in an asymptotic form for h 0 where h measures the size of the elements. The approach has similarity to the residual method but differs from it in the use of norms of negative Sobolev spaces corresponding to the given bilinear (energy) form. For clarity the presentation is restricted to one-dimensional model problems. More specifically, the source, eigenvalue, and parabolic problems are considered involving a linear, self-adjoint operator of the second order. Generalizations to more general one-dimensional problems are straightforward, and the results also extend to higher space dimensions; but this involves some additional considerations. The estimates can be used for a practical a-posteriori assessment of the accuracy of a computed finite element solution, and they provide a basis for the design of adaptive finite element solvers.

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Citations
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Book

A Posteriori Error Estimation in Finite Element Analysis

TL;DR: In this paper, a summary account of the subject of a posteriori error estimation for finite element approximations of problems in mechanics is presented, focusing on methods for linear elliptic boundary value problems.
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Automated Solution of Differential Equations by the Finite Element Method: The FEniCS Book

TL;DR: This book is a tutorial written by researchers and developers behind the FEniCS Project and explores an advanced, expressive approach to the development of mathematical software.
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A Review of a Posteriori Error Estimation and Adaptive Mesh-Refinement Techniques

TL;DR: Introduction.
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An optimal control approach to a posteriori error estimation in finite element methods

TL;DR: The ‘dual-weighted-residual method’ is introduced initially within an abstract functional analytic setting, and is then developed in detail for several model situations featuring the characteristic properties of elliptic, parabolic and hyperbolic problems.
Journal ArticleDOI

Reduced basis approximation and a posteriori error estimation for affinely parametrized elliptic coercive partial differential equations

TL;DR: (hierarchical, Lagrange) reduced basis approximation and a posteriori error estimation for linear functional outputs of affinely parametrized elliptic coercive partial differential equations are considered.
References
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Journal ArticleDOI

Error Estimates for Adaptive Finite Element Computations

TL;DR: The main theorem gives an error estimate in terms of localized quantities which can be computed approximately, and the estimate is optimal in the sense that, up to multiplicative constants which are independent of the mesh and solution, the upper and lower error bounds are the same.
Journal ArticleDOI

Comparing Numerical Methods for Ordinary Differential Equations

TL;DR: According to criteria involving the number of function evaluations, overhead cost, and reliability, the best general-purpose method, if function evaluations are not very costly, is one due to Bulirsch and Stoer, however, when function evaluated methods are relatively expensive, variable-order methods based on Adams formulas are best.
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Solving Nonstiff Ordinary Differential Equations—The State of the Art

TL;DR: In this article, the characteristics and capabilities of the best codes for solving the initial value problem for ordinary differential equations are studied. Only codes which are readily available, portable, and v...
Journal ArticleDOI

On Testing a Subroutine for the Numerical Integration of Ordinary Differential Equations

TL;DR: This paper discusses how to numerically test a subroutine for the solution of ordinary differential equations with a variable order Adams method.
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