Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Kevin Grogan"'
Autor:
Ronalds, Nick
Publikováno v:
Financial Analysts Journal, 2018 Jun 01. 74(2), 101-102.
Externí odkaz:
https://www.jstor.org/stable/26653494
Autor:
Katz, Wendy Jean
Publikováno v:
Great Plains Quarterly, 2009 Jul 01. 29(3), 259-259.
Externí odkaz:
https://www.jstor.org/stable/23534046
Autor:
Kent, Caroline
Publikováno v:
ARLIS/NA Newsletter, 1976 Dec 01. 5(1), 21-22.
Externí odkaz:
https://www.jstor.org/stable/27945761
Autor:
Kevin Grogan
Publikováno v:
Gullah Spirit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02ad96346236bbfc2c4778955755e6ef
https://doi.org/10.2307/j.ctv1n357cb.5
https://doi.org/10.2307/j.ctv1n357cb.5
Autor:
Larry E. Swedroe, Kevin Grogan
Fully revised and updated second edition. This is your one-stop, definitive resource as you prepare for a secure and comfortable retirement. Investment and personal finance experts Larry Swedroe and Kevin Grogan present uniquely comprehensive coverag
Autor:
Kevin Grogan, Matthias Ihme
Publikováno v:
Proceedings of the Combustion Institute. 37:3487-3494
An ignition time model is developed to model super knock in a compression engine. The model assumes that thermoacoustic interaction is the primary mechanism for the onset of super knock. By ignoring diffusive effects, a simple transport equation for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5daa21603aca5daa9cba26bb367df40
https://doi.org/10.1016/j.proci.2018.07.055
https://doi.org/10.1016/j.proci.2018.07.055
Autor:
Larry Swedroe, Kevin Grogan
This is your one-stop, definitive resource as you prepare for a secure and comfortable retirement. Investment and personal finance experts Larry Swedroe and Kevin Grogan present uniquely comprehensive coverage of every important aspect you need to th
Autor:
Caroline Kent
Publikováno v:
ARLIS/NA Newsletter. 5:21-22
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b784a170ba9d0cda1cde630d05a0a24c
https://doi.org/10.1086/arlisnanews.5.1.27945761
https://doi.org/10.1086/arlisnanews.5.1.27945761
Autor:
Kevin Grogan, Matthias Ihme
Publikováno v:
Shock Waves. 28:941-954
This study is concerned with the data-driven analysis of predictive parameters associated with regime transition for ignition and detonation. To this end, we introduce machine learning as a technique to analyze the predictive capability of these para
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac64aa54246e56a7258652d55b55677f
https://doi.org/10.1007/s00193-018-0852-y
https://doi.org/10.1007/s00193-018-0852-y