Uniformly convergent adaptive methods for a class of parametric operator equations
ESAIM: Mathematical Modelling and Numerical Analysis , Tome 46 (2012) no. 6, pp. 1485-1508.

We derive and analyze adaptive solvers for boundary value problems in which the differential operator depends affinely on a sequence of parameters. These methods converge uniformly in the parameters and provide an upper bound for the maximal error. Numerical computations indicate that they are more efficient than similar methods that control the error in a mean square sense.

DOI : 10.1051/m2an/2012013
Classification : 35R60, 47B80, 65C20, 65N12, 65N22, 65J10
Mots clés : parametric partial differential equations, partial differential equations with random coefficients, uniform convergence, adaptive methods, operator equations
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     title = {Uniformly convergent adaptive methods for a class of parametric operator equations},
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Gittelson, Claude Jeffrey. Uniformly convergent adaptive methods for a class of parametric operator equations. ESAIM: Mathematical Modelling and Numerical Analysis , Tome 46 (2012) no. 6, pp. 1485-1508. doi : 10.1051/m2an/2012013. http://www.numdam.org/articles/10.1051/m2an/2012013/

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