Approximation of piecewise Hölder functions from inexact information
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Publication:895991
DOI10.1016/j.jco.2015.09.002zbMath1329.41026OpenAlexW2209801787MaRDI QIDQ895991
Paweł M. Morkisz, Leszek Plaskota
Publication date: 11 December 2015
Published in: Journal of Complexity (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jco.2015.09.002
Related Items (7)
Optimal pointwise approximation of SDE's from inexact information ⋮ Euler scheme for approximation of solution of nonlinear ODEs under inexact information ⋮ Randomized derivative-free Milstein algorithm for efficient approximation of solutions of SDEs under noisy information ⋮ Optimal approximation of stochastic integrals in analytic noise model ⋮ Randomized Runge-Kutta method -- stability and convergence under inexact information ⋮ On the randomized Euler schemes for ODEs under inexact information ⋮ Construction of nonlinear approximation schemes for piecewise smooth data
Cites Work
- Unnamed Item
- Unnamed Item
- Optimal solution of a class of non-autonomous initial-value problems with unknown singularities
- Complexity of the derivative-free solution of systems of IVPs with unknown singularity hypersurface
- Optimal adaptive solution of piecewise regular systems of IVPs with unknown switching hypersurface
- Reconstruction of piecewise smooth functions from non-uniform grid point data
- Optimal adaptive solution of initial-value problems with unknown singularities
- Deterministic and stochastic error bounds in numerical analysis
- Strong approximation of solutions of stochastic differential equations with time-irregular coefficients via randomized Euler algorithm
- Approximation of piecewise smooth functions and images by edge-adapted (ENO-EA) nonlinear multiresolution techniques
- Adaption allows efficient integration of functions with unknown singularities
- An Adaptive Algorithm for Weighted Approximation of Singular Functions over $\mathbb{R}$
- Noisy Information: Optimality, Complexity, Tractability
- Optimality of Euler-type algorithms for approximation of stochastic differential equations with discontinuous coefficients
- The power of adaption for approximating functions with singularities
- Approximating piecewise-smooth functions
- Recovery of Edges from Spectral Data with Noise—A New Perspective
- New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities
- Uniform Approximation of Piecewise r-Smooth and Globally Continuous Functions
- Filters, mollifiers and the computation of the Gibbs phenomenon
- Interpolation and Approximation of Piecewise Smooth Functions
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