Michael Gnewuch
According to our database1,
Michael Gnewuch
authored at least 46 papers
between 2005 and 2024.
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Bibliography
2024
Improved bounds for the bracketing number of orthants or revisiting an algorithm of Thiémard to compute bounds for the star discrepancy.
J. Complex., 2024
J. Approx. Theory, 2024
CoRR, 2024
QMC integration based on arbitrary (t,m,s)-nets yields optimal convergence rates on several scales of function spaces.
CoRR, 2024
2023
Dagstuhl Reports, 2023
Computable error bounds for quasi-Monte Carlo using points with non-negative local discrepancy.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
2022
J. Complex., 2022
2021
A generalized Faulhaber inequality, improved bracketing covers, and applications to discrepancy.
Math. Comput., 2021
J. Complex., 2021
Discrepancy Bounds for a Class of Negatively Dependent Random Points Including Latin Hypercube Samples.
CoRR, 2021
2020
Note on pairwise negative dependence of randomly shifted and jittered rank-1 lattices.
Oper. Res. Lett., 2020
Explicit error bounds for randomized Smolyak algorithms and an application to infinite-dimensional integration.
J. Approx. Theory, 2020
Randomized sparse grid algorithms for multivariate integration on Haar-Wavelet spaces.
CoRR, 2020
2019
Embeddings for infinite-dimensional integration and L2-approximation with increasing smoothness.
J. Complex., 2019
2017
Equivalence of weighted anchored and ANOVA spaces of functions with mixed smoothness of order one in L<sub>p</sub>.
J. Complex., 2017
Embeddings of weighted Hilbert spaces and applications to multivariate and infinite-dimensional integration.
J. Approx. Theory, 2017
2015
2014
Optimal Randomized Multilevel Algorithms for Infinite-Dimensional Integration on Function Spaces with ANOVA-Type Decomposition.
SIAM J. Numer. Anal., 2014
On weighted Hilbert spaces and integration of functions of infinitely many variables.
J. Complex., 2014
Optimal randomized changing dimension algorithms for infinite-dimensional integration on function spaces with ANOVA-type decomposition.
J. Approx. Theory, 2014
Infinite-Dimensional Integration in Weighted Hilbert Spaces: Anchored Decompositions, Optimal Deterministic Algorithms, and Higher-Order Convergence.
Found. Comput. Math., 2014
2012
A New Randomized Algorithm to Approximate the Star Discrepancy Based on Threshold Accepting.
SIAM J. Numer. Anal., 2012
Weighted geometric discrepancies and numerical integration on reproducing kernel Hilbert spaces.
J. Complex., 2012
CoRR, 2012
2011
A Randomized Algorithm Based on Threshold Accepting to Approximate the Star Discrepancy
CoRR, 2011
2010
Algorithmic construction of low-discrepancy point sets via dependent randomized rounding.
J. Complex., 2010
2009
Correction of a proof in "A probabilistic result on the discrepancy of a hybrid-Monte Carlo sequence and applications".
Monte Carlo Methods Appl., 2009
Finding optimal volume subintervals with k points and calculating the star discrepancy are NP-hard problems.
J. Complex., 2009
J. Complex., 2009
Generalized Tractability for Multivariate Problems Part II: Linear Tensor Product Problems, Linear Information, and Unrestricted Tractability.
Found. Comput. Math., 2009
Weighted L_2 B Discrepancy and Approximation of Integrals over Reproducing Kernel Hilbert Spaces.
Proceedings of the Algorithms and Complexity for Continuous Problems, 20.09. - 25.09.2009, 2009
Proceedings of the Algorithms and Complexity for Continuous Problems, 20.09. - 25.09.2009, 2009
2008
Monte Carlo Methods Appl., 2008
Bracketing numbers for axis-parallel boxes and applications to geometric discrepancy.
J. Complex., 2008
2007
Generalized tractability for multivariate problems Part I: Linear tensor product problems and linear information.
J. Complex., 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
2005
Bounds for the Average L<sup>p</sup>-Extreme and the L<sup>∞</sup>-Extreme Discrepancy.
Electron. J. Comb., 2005