Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/308739 
Year of Publication: 
2023
Citation: 
[Journal:] Operations Research Forum [ISSN:] 2662-2556 [Volume:] 4 [Issue:] 3 [Article No.:] 63 [Publisher:] Springer International Publishing [Place:] Cham [Year:] 2023
Publisher: 
Springer International Publishing, Cham
Abstract: 
Globally optimal free flight trajectory optimization can be achieved with a combination of discrete and continuous optimization. A key requirement is that Newton's method for continuous optimization converges in a sufficiently large neighborhood around a minimizer. We show in this paper that, under certain assumptions, this is the case.
Subjects: 
Shortest path
Flight planning
Free flight
Optimal control
Discrete optimization
Global optimization
Newton’s method
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.