The University of Southampton
University of Southampton Institutional Repository

Massively parallel optimization of target sequences for multiple-rendezvous low-thrust missions on GPUS

Massively parallel optimization of target sequences for multiple-rendezvous low-thrust missions on GPUS
Massively parallel optimization of target sequences for multiple-rendezvous low-thrust missions on GPUS
1841-1853
American Astronautical Society
Massari, Mauro
6b6f72d2-7e3a-4394-87c3-9fb0e51b75ec
Wittig, Alexander
3a140128-b118-4b8c-9856-a0d4f390b201
Furfaro, Roberto
Cassotto, Stefano
Trask, Aaron
Zimmer, Scott
Massari, Mauro
6b6f72d2-7e3a-4394-87c3-9fb0e51b75ec
Wittig, Alexander
3a140128-b118-4b8c-9856-a0d4f390b201
Furfaro, Roberto
Cassotto, Stefano
Trask, Aaron
Zimmer, Scott

Massari, Mauro and Wittig, Alexander (2015) Massively parallel optimization of target sequences for multiple-rendezvous low-thrust missions on GPUS. In, Furfaro, Roberto, Cassotto, Stefano, Trask, Aaron and Zimmer, Scott (eds.) Spaceflight Mechanics Meeting 2015. (Advances in the Astronautical Sciences, 155) American Astronautical Society, pp. 1841-1853.

Record type: Book Section

This record has no associated files available for download.

More information

Published date: 2015

Identifiers

Local EPrints ID: 419779
URI: http://eprints.soton.ac.uk/id/eprint/419779
PURE UUID: d3ae656a-5b06-4569-aea8-25de7c321db6
ORCID for Alexander Wittig: ORCID iD orcid.org/0000-0002-4594-0368

Catalogue record

Date deposited: 20 Apr 2018 16:30
Last modified: 12 Dec 2021 04:17

Export record

Contributors

Author: Mauro Massari
Editor: Roberto Furfaro
Editor: Stefano Cassotto
Editor: Aaron Trask
Editor: Scott Zimmer

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×