Zobrazeno 1 - 10
of 142
pro vyhledávání: '"J. Brust"'
Autor:
David Brust, Johannes J. Brust
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-21 (2023)
Abstract Background Grouping samples with low prevalence of positives into pools and testing these pools can achieve considerable savings in testing resources compared with individual testing in the context of COVID-19. We review published pooling ma
Externí odkaz:
https://doaj.org/article/f415801b0b2f4430b1d7472e69b71b75
Autor:
Steven J. Brust
Publikováno v:
Studia Gilsoniana, Vol 6, Iss 1, Pp 165-168 (2017)
One of the most famous political documents, The Declaration of Independence, claims that our Creator has created everyone with the right to the pursuit of happiness. When asked about what they think the happiness actually is that one has a right to p
Externí odkaz:
https://doaj.org/article/2e9e291674da43bfa27df34500bca6ee
Publikováno v:
Journal of Mammalogy.
Roost selection by insectivorous bats in temperate regions is presumably influenced by roost microclimates in relation to thermoregulatory strategies, but few studies have included temperature measurements in habitat selection models. Rocky landscape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45d8443572bcd066c4ea940487be09e4
https://doi.org/10.1093/jmammal/gyad037
https://doi.org/10.1093/jmammal/gyad037
Publikováno v:
Journal of the Academy of Nutrition and Dietetics. 122:270-277
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf1b6c1d12cc6e4e7507c0324c942844
https://doi.org/10.1016/j.jand.2021.02.012
https://doi.org/10.1016/j.jand.2021.02.012
Publikováno v:
SIAM Journal on Scientific Computing. 44:A103-A127
For optimization problems with linear equality constraints, we prove that the (1,1) block of the inverse KKT matrix remains unchanged when projected onto the nullspace of the constraint matrix. We develop reduced compact representations of the limite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e9a5dd808fb95ac91aea1d663bde4a7
https://doi.org/10.1137/21m1393819
https://doi.org/10.1137/21m1393819
Autor:
David Brust, Johannes J. Brust
Background Grouping samples with low prevalence of positives into pools and testing these pools can achieve considerable savings in testing resources compared with individual testing in the context of COVID-19. We review published pooling matrices, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a16adc8ab484b4a5148660b2d5a776f3
https://doi.org/10.1101/2022.08.23.22279137
https://doi.org/10.1101/2022.08.23.22279137
Autor:
Steven J. Brust
Publikováno v:
Catholic Social Science Review. 26:125-136
The “Catholic Vote” is usually understood to mean the descriptive measurement of the presidential candidate whom a majority of Catholics vote for. The more important question arises as to which candidate Catholics ought to vote for. Applying the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50dc8d0847b613d894250377b1145176
https://doi.org/10.5840/cssr20212613
https://doi.org/10.5840/cssr20212613
Autor:
Johannes J. Brust, Michael A. Saunders
We propose iterative projection methods for solving square or rectangular consistent linear systems Ax = b. Existing projection methods use sketching matrices (possibly randomized) to generate a sequence of small projected subproblems, but even the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f57543a27a5123058883885c7165d737
Autor:
Travis Smith, Chaitanya Gupta, Zehao Fan, Gregory J. Brust, Russ Vogelsong, Caleb Carr, Shi-Qing Wang
Publikováno v:
Extreme Mechanics Letters. 56:101819
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19624ce0a1cc6555410a87627dc3a8e3
https://doi.org/10.1016/j.eml.2022.101819
https://doi.org/10.1016/j.eml.2022.101819
Publikováno v:
Computational Optimization and Applications. 74:669-701
We propose two limited-memory BFGS (L-BFGS) trust-region methods for large-scale optimization with linear equality constraints. The methods are intended for problems where the number of equality constraints is small. By exploiting the structure of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b42ca6b2d6bd34fc01569a82c91ce171
https://doi.org/10.1007/s10589-019-00127-4
https://doi.org/10.1007/s10589-019-00127-4