Poster (Scientific congresses, symposiums and conference proceedings)
Genetic-algorithm based search strategy for optimal scenarios of future dual-pair gravity satellite missions
Iran Pour, Siavash; Reubelt, Tilo; Weigelt, Matthias et al.
2014The 3rd International Gravity Field Service (IGFS) General Assembly
 

Files


Full Text
IGFS2014_Poster_ESA_SC4MGV.pdf
Author postprint (902.41 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Disciplines :
Earth sciences & physical geography
Author, co-author :
Iran Pour, Siavash
Reubelt, Tilo
Weigelt, Matthias ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Murböck, Michael
Daras, Ilias
Tonetti, Stefania
Cornara, Stefano
Gruber, Thomas
van Dam, Tonie ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Pail, Roland
Sneeuw, Nico
Language :
English
Title :
Genetic-algorithm based search strategy for optimal scenarios of future dual-pair gravity satellite missions
Publication date :
June 2014
Event name :
The 3rd International Gravity Field Service (IGFS) General Assembly
Event place :
Shanghai, China
Event date :
June 30-July 6, 2014
Audience :
International
Available on ORBilu :
since 06 October 2014

Statistics


Number of views
113 (5 by Unilu)
Number of downloads
85 (5 by Unilu)

Bibliography


Similar publications



Contact ORBilu