Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Laurence Cook"'
Autor:
Jonathan Silvertown, Laurence Cook, Robert Cameron, Mike Dodd, Kevin McConway, Jenny Worthington, Peter Skelton, Christian Anton, Oliver Bossdorf, Bruno Baur, Menno Schilthuizen, Benoît Fontaine, Helmut Sattmann, Giorgio Bertorelle, Maria Correia, Cristina Oliveira, Beata Pokryszko, Małgorzata Ożgo, Arturs Stalažs, Eoin Gill, Üllar Rammul, Péter Sólymos, Zoltan Féher, Xavier Juan
Publikováno v:
PLoS ONE, Vol 6, Iss 4, p e18927 (2011)
Organisms provide some of the most sensitive indicators of climate change and evolutionary responses are becoming apparent in species with short generation times. Large datasets on genetic polymorphism that can provide an historical benchmark against
Externí odkaz:
https://doaj.org/article/3263f27ea6dd48a9b4366cf16bcbfde2
Publikováno v:
Entomologist's Monthly Magazine. 158:9-27
The Manchester Museum has a series of collections of mites and ticks as a consequence of donations and the activities of members of the Museum at different times. Brief details of the collectors are given, and the extent of coverage of the groups con
Publikováno v:
International Journal for Numerical Methods in Engineering. 121:2481-2502
A challenge in engineering design is to choose suitable objectives and constraints from many quantities of interest, while ensuring an optimization is both meaningful and computationally tractable. We propose an optimization formulation that can take
Autor:
Laurence Cook, Jerome P. Jarrett
Publikováno v:
AIAA Journal. 56:4965-4976
In optimization under uncertainty for aerospace design, statistical moments of the quantity of interest are often treated as separate objectives and are traded off in a multi-objective optimization...
Autor:
Laurence Cook, Jerome P. Jarrett
Publikováno v:
AIAA Journal. 55:3925-3939
The importance of designing airfoils to be robust with respect to uncertainties in operating conditions is well recognized. However, often, the probability distribution of such uncertainties does n...
Publikováno v:
MIT Web Domain
This paper presents a new approach for optimization under uncertainty in the presence of probabilistic, interval, and mixed uncertainties, avoiding the need to specify probability distributions on uncertain parameters when such information is not rea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f9a9bfc25f6dc2af3e3c7318bd49abd
https://www.repository.cam.ac.uk/handle/1810/268038
https://www.repository.cam.ac.uk/handle/1810/268038
Publikováno v:
Other univ. web domain
The importance of including uncertainties in the design process of aerospace systems is becoming increasingly recognized, leading to the recent development of many techniques for optimization under uncertainty. Most existing methods represent uncerta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eea6a5825a0f68653b5dc49a44a02bed
http://hdl.handle.net/1721.1/114823
http://hdl.handle.net/1721.1/114823
Publikováno v:
Physics of Fluids. 31:105111
The computational economy of Reynolds-Averaged Navier-Stokes solvers encourages their widespread use in the optimization of aerospace designs. Unfortunately, the real-world performance of the resulting optimized designs may have shortcomings. A commo