Newton's Method for Global Free Flight Trajectory Optimization
Fuente:
arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| _version_ | 1866914742629564416 |
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| author | Borndörfer, Ralf Danecker, Fabian Weiser, Martin |
| author_facet | Borndörfer, Ralf Danecker, Fabian Weiser, Martin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2302_04748 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Newton's Method for Global Free Flight Trajectory Optimization Borndörfer, Ralf Danecker, Fabian Weiser, Martin Optimization and Control Classical Analysis and ODEs Functional Analysis 49M15, 49M37, 65L10, 65L70, 90C26 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. |
| title | Newton's Method for Global Free Flight Trajectory Optimization |
| topic | Optimization and Control Classical Analysis and ODEs Functional Analysis 49M15, 49M37, 65L10, 65L70, 90C26 |
| url | https://arxiv.org/abs/2302.04748 |