Zobrazeno 1 - 10
of 7 054
pro vyhledávání: '"Moulton, J."'
In this chapter, we address the challenge of exploring the posterior distributions of Bayesian inverse problems with computationally intensive forward models. We consider various multivariate proposal distributions, and compare them with single-site
Externí odkaz:
http://arxiv.org/abs/2405.00397
Autor:
McInnes, Lois Curfman, Heroux, Michael, Bernholdt, David E., Dubey, Anshu, Gonsiorowski, Elsa, Gupta, Rinku, Marques, Osni, Moulton, J. David, Nam, Hai Ah, Norris, Boyana, Raybourn, Elaine M., Willenbring, Jim, Almgren, Ann, Bartlett, Ross, Cranfill, Kita, Fickas, Stephen, Frederick, Don, Godoy, William, Grubel, Patricia, Hartman-Baker, Rebecca, Huebl, Axel, Lynch, Rose, Thakur, Addi Malviya, Milewicz, Reed, Miller, Mark C., Mundt, Miranda, Palmer, Erik, Parete-Koon, Suzanne, Phinney, Megan, Riley, Katherine, Rogers, David M., Sims, Ben, Stevens, Deborah, Watson, Gregory R.
Computational and data-enabled science and engineering are revolutionizing advances throughout science and society, at all scales of computing. For example, teams in the U.S. DOE Exascale Computing Project have been tackling new frontiers in modeling
Externí odkaz:
http://arxiv.org/abs/2311.02010
Autor:
Hyman, Jeffrey D., Sweeney, Matthew R., Gable, Carl W., Svyatsky, Daniil, Lipnikov, Konstantin, Moulton, J. David
We present a comprehensive workflow to simulate single-phase flow and transport in fractured porous media using the discrete fracture matrix approach. The workflow has three primary parts: (1) a method for conforming mesh generation of and around a t
Externí odkaz:
http://arxiv.org/abs/2112.12592
Autor:
Baker Jr., George H.1, Wallis, Jason E.2
Publikováno v:
JFQ: Joint Force Quarterly. 2015 3rd Quarter, Issue 78, p44-49. 6p. 3 Color Photographs, 2 Diagrams.
The efficient solution of sparse, linear systems resulting from the discretization of partial differential equations is crucial to the performance of many physics-based simulations. The algorithmic optimality of multilevel approaches for common discr
Externí odkaz:
http://arxiv.org/abs/1803.02481
Autor:
Hyman, Jeffrey D., Sweeney, Matthew R., Gable, Carl W., Svyatsky, Daniil, Lipnikov, Konstantin, David Moulton, J.
Publikováno v:
In Journal of Computational Physics 1 October 2022 466
Autor:
Bartlett, Roscoe, Demeshko, Irina, Gamblin, Todd, Hammond, Glenn, Heroux, Michael, Johnson, Jeffrey, Klinvex, Alicia, Li, Xiaoye, McInnes, Lois Curfman, Moulton, J. David, Osei-Kuffuor, Daniel, Sarich, Jason, Smith, Barry, Willenbring, Jim, Yang, Ulrike Meier
Extreme-scale computational science increasingly demands multiscale and multiphysics formulations. Combining software developed by independent groups is imperative: no single team has resources for all predictive science and decision support capabili
Externí odkaz:
http://arxiv.org/abs/1702.08425
We study the convergence of the new family of mimetic finite difference schemes for linear diffusion problems recently proposed in [38]. In contrast to the conventional approach, the diffusion coefficient enters both the primary mimetic operator, i.e
Externí odkaz:
http://arxiv.org/abs/1612.01768
Multiphase flow is a critical process in a wide range of applications, including carbon sequestration, contaminant remediation, and groundwater management. Typically, this process is modeled by a nonlinear system of partial differential equations der
Externí odkaz:
http://arxiv.org/abs/1611.00127
Autor:
Coffey AM; Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, United States of America; Injury Prevention Research Center, University of North Carolina at Chapel Hill, United States of America. Electronic address: coffeyam@email.unc.edu., Austin A; Injury Prevention Research Center, University of North Carolina at Chapel Hill, United States of America; Department of Health Behavior, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, United States of America., Moulton J; Department of Public Policy, University of North Carolina at Chapel Hill, United States of America., Engel SM; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, United States of America., Martin SL; Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, United States of America., Shanahan ME; Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, United States of America; Injury Prevention Research Center, University of North Carolina at Chapel Hill, United States of America.
Publikováno v:
Child abuse & neglect [Child Abuse Negl] 2024 Nov 05; Vol. 158, pp. 107130. Date of Electronic Publication: 2024 Nov 05.