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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.
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.
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