Analyzing the spatial distribution of error for for a functional approximation space.
Abstract: In order to analyze the accuracy of a fixed, finite-dimensional approximation space which is not uniform over its domain $\Omega$, we define the approximation error map, a description of how the error is distributed over $\Omega$ --- not for a single test function but for a general class of such functions. We show how to compute such a map from the best approximations to an orthonormal basis of the target function space. (Update)
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BibTeX entry: (Update)
@misc{ gomide-approximation,
author = "Anamaria Gomide and Jorge Stolfi",
title = "Approximation Error Maps",
howpublished = "electronic draft",
url = "citeseer.ist.psu.edu/gomide02approximation.html" }
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