Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Richard B. Lehoucq"'
We propose a novel statistical inference methodology for multiway count data that is corrupted by false zeros that are indistinguishable from true zero counts. Our approach consists of zero-truncating the Poisson distribution to neglect all zero valu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d742fbe872929e927e4d2a51ad2f583
Autor:
J. Darby Smith, Aaron J. Hill, Leah E. Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas Parekh, William Severa, James B. Aimone
Computing stands to be radically improved by neuromorphic computing (NMC) approaches inspired by the brain's incredible efficiency and capabilities. Most NMC research, which aims to replicate the brain's computational structure and architecture in ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5051319abc468ccf48c0d8545a65c5b2
http://arxiv.org/abs/2107.13057
http://arxiv.org/abs/2107.13057
Autor:
James B. Aimone, Ojas Parekh, Richard B. Lehoucq, Aaron Hill, J. Darby Smith, William Severa, Brian Claude Franke, Leah Reeder
Computing stands to be radically improved by neuromorphic computing (NMC) approaches inspired by the brain's incredible efficiency and capabilities. Most NMC research, which aims to replicate the brain's computational structure and architecture in ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::877e8547aaaba7f84b1bdb9fda833a1f
https://doi.org/10.2172/1671377
https://doi.org/10.2172/1671377
Autor:
Sharlotte Kramer, Daniel Z. Turner, Richard B. Lehoucq, Phillip L. Reu, Jay Carroll, Kyle N. Karlson, Elizabeth M. C. Jones
Publikováno v:
Computational Materials Science. 152:268-290
Traditionally, material identification is performed using global load and displacement data from simple boundary-value problems such as uni-axial tensile and simple shear tests. More recently, however, inverse techniques such as the Virtual Fields Me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eaa7dd4becda436c2a20110281b50747
https://doi.org/10.1016/j.commatsci.2018.05.037
https://doi.org/10.1016/j.commatsci.2018.05.037
Publikováno v:
Experimental Mechanics. 61:609-621
This work explores the effect of the ill-posed problem on uncertainty quantification for motion estimation using digital image correlation (DIC) (Sutton et al. [2009]). We develop a correction factor for standard uncertainty estimates based on the co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c222953da31bfa88021b08e4eac05572
https://doi.org/10.1007/s11340-017-0360-5
https://doi.org/10.1007/s11340-017-0360-5
Publikováno v:
Computational Methods in Applied Mathematics. 17:707-722
A nonlocal convection-diffusion model is introduced for the master equation of Markov jump processes in bounded domains. With minimal assumptions on the model parameters, the nonlocal steady and unsteady state master equations are shown to be well-po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c454d5d917cd6dd652726400833a69a
https://doi.org/10.1515/cmam-2017-0029
https://doi.org/10.1515/cmam-2017-0029
Autor:
Richard B. Lehoucq, Stephen T. Rowe
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 299:366-380
We introduce a meshfree discretization for a nonlocal diffusion problem using a localized basis of radial basis functions. Our method consists of a conforming radial basis of local Lagrange functions for a variational formulation of a volume constrai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::393a578f0e8c4c0383c7449d63e1402f
https://doi.org/10.1016/j.cma.2015.10.021
https://doi.org/10.1016/j.cma.2015.10.021