Statistics – Computation
Scientific paper
Sep 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011amos.confe..61h&link_type=abstract
Proceedings of the Advanced Maui Optical and Space Surveillance Technologies Conference, held in Wailea, Maui, Hawaii, September
Statistics
Computation
Scientific paper
History and methodology of ∆v range set computation is briefly reviewed, followed by a short summary of the ∆v optimal spacecraft servicing problem literature. Service vehicle placement is approached from a ∆v range set viewpoint, providing a framework under which the analysis becomes quite geometric and intuitive. The optimal servicing tour design problem is shown to be a specific instantiation of the metric- Traveling Salesman Problem (TSP), which in general is an NP-hard problem. The ∆v-TSP is argued to be quite similar to the Euclidean-TSP, for which approximate optimal solutions may be found in polynomial time. Applications of range sets are demonstrated using analytical and simulation results.
Holzinger M.
Scheeres Dan
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