Newton's Method for Global Free Flight Trajectory Optimization
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, u...
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| creator | Borndörfer, Ralf Danecker, Fabian Weiser, Martin |
| description | 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. |
| doi_str_mv | 10.48550/arxiv.2302.04748 |
| format | Article |
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Newton's method for continuous optimization converges in a sufficiently large
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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.</abstract><doi>10.48550/arxiv.2302.04748</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Mathematics - Classical Analysis and ODEs Mathematics - Functional Analysis Mathematics - Optimization and Control |
| title | Newton's Method for Global Free Flight Trajectory Optimization |
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