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A Survey of Nonlinear Dynamics (Chaos Theory)
We study the Besov regularity as well as linear and nonlinear approximation of random functions on bounded Lipschitz domains in R d . The random functions are given either (i) explicitly in terms of a wavelet expansion or (ii) as the solution of a Poisson equation with a right-hand side in terms of a wavelet expansion. In the case (ii) we derive an adaptive wavelet algorithm that achieves the nonlinear approximation rate at a computational cost that is proportional to the degrees of freedom.doi:10.1142/9789814360111_0007 fatcat:gifv2ldrdvglvgfik7n4qdhymq