Michael Gnewuch and Randomized - Free people check

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Challenges in optimal recovery and hyperbolic cross ...

www.newton.ac.uk

Michael Gnewuch Christian-Albrechts-Universität zu Kiel Explicit error bounds for randomized Smolyak algorithms and an application to infinite-dimensional ... › event › ascw01

Optimal Randomized Multilevel Algorithms for Infinite ...

ideas.repec.org

by M Gnewuch · — Michael Gnewuch & Jan Baldeaux, "Optimal Randomized Multilevel Algorithms for Infinite-Dimensional Integration on Function Spaces with ANOVA-Type ... › uts › rpaper

Monte Carlo and Quasi-Monte Carlo Methods 2006

books.google.com

275 Construction of Low-Discrepancy Point Sets of Small Size by Bracketing Covers and Dependent Randomized Rounding Benjamin Doerr and Michael Gnewuch .

Constructing low star discrepancy point Semantic Scholar

pdfs.semanticscholar.org

Benjamin Doerr, Michael Gnewuch, Magnus Wahlström. Algorithmic construction of low discrepancy point sets via dependent randomized rounding. › ...

[ ] A Randomized Algorithm Based on Threshold Accepting to...

arxiv.org

Authors: Michael Gnewuch, Magnus Wahlström, Carola Winzen. (Submitted on 10 Mar (v1), last revised 12 May (this version, v2)). Abstract: We ...

[ ] Optimal randomized changing dimension algorithms for...

arxiv.org

Jun 12, · ... Michael Gnewuch (Submitted on 12 Jun 2013) Abstract: We study the numerical integration problem for functions with infinitely many variables.

Construction of Low-Discrepancy Point Sets of Small Size by ...

link.springer.com

by B Doerr · · Cited by 21 — Construction of Low-Discrepancy Point Sets of Small Size by Bracketing Covers and Dependent Randomized Rounding. Benjamin Doerr &; Michael Gnewuch. by M Gnewuch · · Cited by 15 — Generalized Tractability for Linear Functionals. Michael Gnewuch &; Henryk Wozniakowski. Conference paper Accesses. 5 Citations ... › chapter

EconPapers: Optimal Randomized Multilevel Algorithms for...

econpapers.repec.org

By Michael Gnewuch and Jan Baldeaux; Abstract: In this paper, we consider the infinite-dimensional integration problem on weighted reproducing kernel Hilbert spaces

Lower Error Bounds for Randomized Multilevel and Changing Dimension...

link.springer.com

We provide lower error bounds for randomized algorithms that approximate integrals of functions depending on an unrestricted or even infinite number of...

A New Randomized Algorithm to Approximate SIAM epubs

epubs.siam.org

by M Gnewuch · · Cited by 29 — A New Randomized Algorithm to Approximate the Star Discrepancy Based on Threshold Accepting. Michael Gnewuch, · Magnus Wahlström, and · Carola Winzen. › doi › abs

[ ] A Randomized Algorithm Based on Threshold ...

arxiv-export1.library.cornell.edu

Authors: Michael Gnewuch, Magnus Wahlström, Carola Winzen. (Submitted on 10 Mar (v1), last revised 12 May (this version, v2)). › abs

A New Randomized Algorithm to Approximate the Star Discrepancy Based...

pure.royalholloway.ac.uk

@article{ff70ab88016b42a08e81e627a905f7a4,. title = "A New Randomized Algorithm to Approximate the Star Discrepancy Based on Threshold Accepting",. author = "Michael Gnewuch and Magnus Wahlström and Carola Winzen",. year = "2012",. volume = "50",. pages = " ",. journal = "SIAM Journal on Numerical ...

Publication - A New Randomized Algorithm to Approximate the Star...

www.algorithm-engineering.de

DFG Priority Programme Algorithm Engineering

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