Publikationsliste einschränken

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 bis  

• englisch (37)
• deutsch (1)

• Seelinger, Linus (5)
• Rehfeld, Kira (2)
• Bastian, Peter (2)
• Ma, Chupeng (2)
• Ellerhoff, Beatrice (2)
• Strehlow, Arne (2)
• Alber, Christian (2)

• Herzog, Roland (1)
• Marciniak-Czochra, Anna (1)
• Gilbert, Alexander (1)
• Weissmann, Simon (1)
• Kazarnikov, Alexey (1)
• Koval, Karina (1)

• Dodwell, Tim (7)
• Graham, Ivan (4)
• Ketelsen, C. (3)
• Cui, Tiangang (3)
• Parkinson, Matthew (2)
• Dolgov, Sergey (2)
• Detommaso, Gianluca (2)

• Müller, Eike Hermann (2)
• Kobayashi, Hideki (2)
• Wilding, Nigel B. (2)
• Rohrbach, Paul B. (2)
• Jack, Robert L. (2)
• Reinarz, Anne (2)
• Teckentrup, A. L. (2)
• Jansen, Karl (2)
• Schillinger, Maybritt (2)
• Lykkegaard, Mikkel (2)
• Silvester, David J. (1)
• Butler, Richard (1)
• Lang, Jens (1)
• Katsiolides, Grigoris (1)
• Dodwell, Tim (1)
• Sloan, I. H. (1)
• Kuo, F. Y. (1)
• Graham, I. G. (1)
• Teckentrup, Aretha L. (1)
• Bachmayr, Markus (1)
• Nguyen, Van Kien (1)
• Graham, Ivan G. (1)
• Kynaston, S. (1)
• Kim, Nam H. (1)
• Haftka, R. T. (1)
• Butler, R. (1)
• Oates, C. J. (1)
• Kyvelou, P. (1)
• Kendall, W. S. (1)
• Gosling, P. D. (1)
• Girolami, M. A. (1)
• Gardner, L. (1)
• Fleming, L. R. (1)
• (weitere Einträge vorhanden...)

Publikationen in heiBIB     

• Alber, Christian: A mixed multiscale spectral generalized finite element method / Christian Alber, Chupeng Ma, Robert Scheichl, February 2025. - 40 S. : Illustrationen
  In: Numerische Mathematik, ISSN 0945-3245. 157(2025), 1, Seite 1-40
  DOI: 10.1007/s00211-024-01446-3
• Koval, Karina: Tractable optimal experimental design using transport maps / Karina Koval, Roland Herzog and Robert Scheichl, 17 October 2024. - ?
  In: Inverse problems, ISSN 1361-6420. 40(2024), 12, Artikel-ID 125002, Seite ?
  DOI: 10.1088/1361-6420/ad8260
• Elfverson, Daniel: Adaptive Multilevel Subset Simulation with Selective Refinement / D. Elfverson, R. Scheichl, S. Weissmann, F.A. Diaz De La O, 2024. - 32 S.
  In: SIAM ASA journal on uncertainty quantification, ISSN 2166-2525. 12(2024), 3, Seite 932-963
  DOI: 10.1137/22M1515240
• Cui, Tiangang: Deep importance sampling using tensor trains with application to a priori and a posteriori rare events / Tiangang Cui, Sergey Dolgov, Robert Scheichl, Feb 2024. - 29 S.
  In: SIAM journal on scientific computing, ISSN 1095-7197. 46(2024), 1 vom: Feb., Seite C1-C29
  DOI: 10.1137/23M1546981
• Cui, Tiangang: Multilevel Monte Carlo methods for stochastic convection-diffusion eigenvalue problems / Tiangang Cui, Hans De Sterck, Alexander D. Gilbert, Stanislav Polishchuk, Robert Scheichl, 3 May 2024. - 34 S.
  In: Journal of scientific computing, ISSN 1573-7691. 99(2024), 3, Artikel-ID 77, Seite 77-1-77-34
  DOI: 10.1007/s10915-024-02539-9
• Cui, Tiangang: Multilevel dimension-independent likelihood-informed MCMC for large-scale inverse problems / Tiangang Cui, Gianluca Detommaso and Robert Scheichl, 5 February 2024. - 33 S. : Illustrationen
  In: Inverse problems, ISSN 1361-6420. 40(2024), 3, Artikel-ID 035005, Seite 1-33
  DOI: 10.1088/1361-6420/ad1e2c
• Bastian, Peter: Multilevel spectral domain decomposition / Peter Bastian, Robert Scheichl, Linus Seelinger, and Arne Strehlow, Jun 2023. - 26 S. : Illustrationen
  In: SIAM journal on scientific computing, ISSN 1095-7197. 45(2023), 3 vom: Juni, Seite S1-S26
  DOI: 10.1137/21M1427231
• Chupeng, Ma: Wavenumber explicit convergence of a multiscale generalized finite element method for heterogeneous Helmholtz problems / Ma Chupeng, Christian Alber, and Robert Scheichl, Jun 2023. - 39 S.
  In: SIAM journal on numerical analysis, ISSN 1095-7170. 61(2023), 3 vom: Juni, Seite 1546-1584
  DOI: 10.1137/21M1466748
• Lykkegaard, Mikkel: Multilevel delayed acceptance MCMC / M.B. Lykkegaard, T.J. Dodwell, C. Fox, G. Mingas, and R. Scheichl, January 25, 2023. - 30 S.
  In: SIAM ASA journal on uncertainty quantification, ISSN 2166-2525. 11(2023), 1, Seite 1-30
  DOI: 10.1137/22M1476770
• Scheichl, Robert: Künstliche Intelligenz : zwischen Wunderglaube und Wissenschaft; "der digitale Mathematiker" / Robert Scheichl, 2022-12-21. - 5 S.
  In: Forum Marsilius-Kolleg, ISSN 2196-2839. 22(2022), 2, Seite 129-133
  DOI: 10.11588/fmk.2022.2.92719
• Schillinger, Maybritt: Separating internal and externally forced contributions to global temperature variability using a Bayesian stochastic energy balance framework / Maybritt Schillinger, Beatrice Ellerhoff, Robert Scheichl, and Kira Rehfeld, 29 November 2022. - 17 S.
  In: Chaos, ISSN 1089-7682. 32(2022), 11 vom: Nov., Artikel-ID 113146, Seite 1-17
  DOI: 10.1063/5.0106123
• Ma, Chupeng: Novel design and analysis of generalized finite element methods based on locally optimal spectral approximations / Chupeng Ma, Robert Scheichl, and Tim Dodwell, January 31, 2022. - 30 S.
  In: SIAM journal on numerical analysis, ISSN 1095-7170. 60(2022), 1, Seite 244-273
  DOI: 10.1137/21M1406179
• Schillinger, Maybritt: Separating internal and externally-forced contributions to global temperature variability using a Bayesian stochastic energy balance framework / Maybritt Schillinger, Beatrice Ellerhoff, Robert Scheichl, and Kira Rehfeld, 30 June 2022. - 15 S.
  In: Arxiv. (2022), Artikel-ID 2206.14573, Seite 1-15
  DOI: 10.48550/arXiv.2206.14573
• Kazarnikov, Alexey: A Bayesian approach to modelling biological pattern formation with limited data / Alexey Kazarnikov, Robert Scheichl, Heikki Haario and Anna Marciniak-Czochra. - Version v2, 31 Mar 2022. - 28 S.
  In: De.arxiv.org. (2022), Artikel-ID 2203.14742, Seite 1-28
  DOI: 10.48550/arXiv.2203.14742
• Lykkegaard, Mikkel: Multilevel delayed acceptance MCMC / Mikkel B. Lykkegaard, Tim J. Dodwell, Colin Fox, Grigorios Mingas, Robert Scheichl. - Version v3, 30 Aug 2022. - 29 S. : Illustrationen
  In: Arxiv. (2021), Artikel-ID 2202.03876, Seite 1-29
  DOI: 10.48550/arXiv.2202.03876
• Bastian, Peter: Multilevel spectral domain decomposition / Peter Bastian, Robert Scheichl, Linus Seelinger, and Arne Strehlow. - Version 2, 15 Jun 2021. - 25 S.
  In: De.arxiv.org. (2021), Artikel-ID 2106.06404, Seite 1-25
  DOI: 10.48550/arXiv.2106.06404
• Kobayashi, Hideki: Critical point for demixing of binary hard spheres / Hideki Kobayashi, Paul B. Rohrbach, Robert Scheichl, Nigel B. Wilding, and Robert L. Jack, 8 October 2021. - 12 S.
  In: Physical review, ISSN 2470-0053. 104(2021), 4, Artikel-ID 044603, Seite 1-12
  DOI: 10.1103/PhysRevE.104.044603
• Graham, Ivan: Error analysis and uncertainty quantification for the heterogeneous transport equation in slab geometry / Ivan G. Graham and Matthew J. Parkinson and Robert Scheichl, 2021. - 31 S.
  In: IMA journal of numerical analysis, ISSN 1464-3642. 41(2021), 4, Seite 2331-2361
  DOI: 10.1093/imanum/draa028
• Dodwell, Tim: A data-centric approach to generative modelling for 3D-printed steel / T.J. Dodwell, L.R. Fleming, C. Buchanan, P. Kyvelou, G. Detommaso, P.D. Gosling, R. Scheichl, W.S. K… , 10 November 2021. - 22 S.
  In: Proceedings, ISSN 1471-2946. 477(2021), 2255, Artikel-ID 20210444, Seite 1-22
  DOI: 10.1098/rspa.2021.0444
• Dodwell, Tim: Multilevel Monte Carlo simulations of composite structures with uncertain manufacturing defects / T.J. Dodwell, S. Kynaston, R. Butler, R.T. Haftka, Nam H. Kim, R. Scheichl, 2021. - 12 S.
  In: Probabilistic engineering mechanics, ISSN 0266-8920. 63(2021) vom: Jan., Artikel-ID 103116, Seite 1-12
  DOI: 10.1016/j.probengmech.2020.103116
• Jansen, Karl: Multilevel Monte Carlo algorithm for quantum mechanics on a lattice / K. Jansen, E. H. Müller, R. Scheichl. -
  Zeuthen: Deutsches Elektronen-Synchrotron DESY, August 2020. - 1 Online-Ressource (25 Seiten) : Diagramme
  (DESY ; 20, 149)
• Seelinger, Linus: A high-performance implementation of a robust preconditioner for heterogeneous problems / Linus Seelinger, Anne Reinarz, Robert Scheichl, 2020. - 12 S.
• Jansen, Karl: Multilevel Monte Carlo algorithm for quantum mechanics on a lattice / Karl Jansen, Eike H. Müller, Robert Scheichl, 18 December 2020. - 23 S.
  In: Physical review, ISSN 2470-0029. 102(2020,11) Artikel-Nummer 114512, 23 Seiten
  DOI: 10.1103/PhysRevD.102.114512
• Bachmayr, Markus: Unified analysis of periodization-based sampling methods for matérn covariances / Markus Bachmayr, Ivan G. Graham, Van Kien Nguyen, and Robert Scheichl, 20 October 2020. - 28 S.
  In: SIAM journal on numerical analysis, ISSN 1095-7170. 58(2020), 5, Seite 2953-2980
  DOI: 10.1137/19M1269877
• Lang, Jens: A fully adaptive multilevel stochastic collocation strategy for solving elliptic PDEs with random data / J. Lang, R. Scheichl, D. Silvester, 1 July 2020. - 17 S.
  In: Journal of computational physics, ISSN 1090-2716. 419(2020) Artikel-Nummer 109692, 17 Seiten
  DOI: 10.1016/j.jcp.2020.109692
• Butler, Richard: High-performance dune modules for solving large-scale, strongly anisotropic elliptic problems with applications to aerospace composites / R. Butler, T. Dodwell, A. Reinarz, A. Sandhu, R. Scheichl, L. Seelinger, 2020. - 15 S.
  In: Computer physics communications, ISSN 1879-2944. 249(2020) Artikel-Nummer 106997, 15 Seiten
  DOI: 10.1016/j.cpc.2019.106997
• Dodwell, Tim: Erratum: A hierarchical multilevel Markov chain Monte Carlo algorithm with applications to uncertainty quantification in subsurface flow / T.J. Dodwell, C. Ketelsen, R. Scheichl, and A.L. Teckentrup, December 17, 2019. - 2 S.
  In: SIAM ASA journal on uncertainty quantification, ISSN 2166-2525. 7(2019), 4, Seite 1398-1399
  DOI: 10.1137/19M1278089
• Dodwell, Tim: Multilevel Markov Chain Monte Carlo / T.J. Dodwell, C. Ketelsen, R. Scheichl, A.L. Teckentrup, August 7, 2019. - 37 S.
  In: SIAM review, ISSN 1095-7200. 61(2019), 3, Seite 509-545
  DOI: 10.1137/19M126966X
• Kobayashi, Hideki: Correction of coarse-graining errors by a two-level method : application to the Asakura-Oosawa model / Hideki Kobayashi, Paul B. Rohrbach, Robert Scheichl, Nigel B. Wilding, and Robert L. Jack, 08 October 2019. - 16 S.
  In: The journal of chemical physics, ISSN 1089-7690. 151(2019,14) Artikel-Nummer 144108, 16 Seiten
  DOI: 10.1063/1.5120833
• Gilbert, Alexander: Analysis of quasi-Monte Carlo methods for elliptic eigenvalue problems with stochastic coefficients / A.D. Gilbert, I.G. Graham, F.Y. Kuo, R. Scheichl, I.H. Sloan, 10 May 2019. - 53 S.
  In: Numerische Mathematik, ISSN 0945-3245. 142(2019), 4, Seite 863-915
  DOI: 10.1007/s00211-019-01046-6
• Dolgov, Sergey: A hybrid alternating least squares - TT-cross algorithm for parametric PDEs / Sergey Dolgov and Robert Scheichl, [2019]. - 32 S.
  In: SIAM ASA journal on uncertainty quantification, ISSN 2166-2525. 7(2019), 1, Seite 260-291
  DOI: 10.1137/17M1138881
• Detommaso, Gianluca: Continuous level Monte Carlo and sample-adaptive model hierarchies / Gianluca Detommaso, Tim Dodwell, and Rob Scheichl, [2019]. - 14 S. : Illustrationen
  In: SIAM ASA journal on uncertainty quantification, ISSN 2166-2525. 7(2019), 1, Seite 93-116
  DOI: 10.1137/18M1172259
• Reinarz, Anne: Dune-composites : a new framework for high-performance finite element modelling of laminates / Anne Reinarz, Tim Dodwell, Tim Fletcher, Linus Seelinger, Richard Butler, Robert Scheichl, 2018. - 10 S.
  In: Composite structures, ISSN 1879-1085. 184(2018), Seite 269-278
  DOI: 10.1016/j.compstruct.2017.09.104
• Graham, Ivan: Modern monte carlo variants for uncertainty quantification in neutron transport / Ivan G. Graham, Matthew J. Parkinson, Robert Scheichl, 23 May 2018. - 27 S.
  In: Contemporary computational mathematics. (2018), Seite 455-481
  DOI: 10.1007/978-3-319-72456-0_22
• Graham, Ivan: Circulant embedding with QMC : analysis for elliptic PDE with lognormal coefficients / Ivan G. Graham, Frances Y. Kuo, Dirk Nuyens, Rob Scheichl, Ian H. Sloan, October 2018. - 33 S.
  In: Numerische Mathematik, ISSN 0945-3245. 140(2018), 2, Seite 479-511
  DOI: 10.1007/s00211-018-0968-0
• Graham, Ivan: Analysis of circulant embedding methods for sampling stationary random fields / I.G. Graham, F.Y. Kuo, D. Nuyens, R. Scheichl, and I.H. Sloan. - 25 S.
  In: SIAM journal on numerical analysis, ISSN 1095-7170. 56(2018), 3, S. 1871-1895
  DOI: 10.1137/17M1149730
• Katsiolides, Grigoris: Multilevel Monte Carlo and improved timestepping methods in atmospheric dispersion modelling / Grigoris Katsiolides, Eike H. Müller, Robert Scheichl, Tony Shardlow, Michael B. Giles, David J. Tho… , 1 February 2018. - 24 S.
  In: Journal of computational physics, ISSN 1090-2716. 354(2018), Seite 320-343
  DOI: 10.1016/j.jcp.2017.10.035
• Dodwell, Tim: A hierarchical multilevel Markov chain Monte Carlo algorithm with applications to uncertainty quantification in subsurface flow / T.J. Dodwell, C. Ketelsen, R. Scheichl, and A.L. Teckentrup, November 3, 2015. - 34 S.
  In: SIAM ASA journal on uncertainty quantification, ISSN 2166-2525. 3(2015), 1, Seite 1075-1108
  DOI: 10.1137/130915005

IDs

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