Hostname: page-component-77c89778f8-fv566 Total loading time: 0 Render date: 2024-07-18T13:31:50.477Z Has data issue: false hasContentIssue false

Nonlinear optimisation and the asteroid identification problem

Published online by Cambridge University Press:  25 May 2016

M. Eugenia Sansaturio
Affiliation:
E.T.S.I.I. University of Valladolid, Spain
Andrea Milani
Affiliation:
Space Mechanics Group. University of Pisa, Italy
Luisa Cattaneo
Affiliation:
Space Mechanics Group. University of Pisa, Italy

Extract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Differential correction procedure allows us to improve orbits for which new observations are available; however, it only works provided the original orbit is within the convergence domain of the pseudo-Newton method. Given the strong nonlinearity of the problem, this only occurs when the residuals of the new observations with respect to the old orbit are quite small.

Type
Part IV - Asteroids: Theory and Ephemerides
Copyright
Copyright © Kluwer 1996 

References

Broucke, R. and Cefola, P: 1972, Celes. Mech., 5, 303310.Google Scholar
Conn, A.R., Gould, N.I.M. and Toint, Ph.L.: 1992, LANCELOT: a Fortran package for large-scale nonlinear optimization. Springer, Berlin.Google Scholar
Everhart, E.: 1985, in Dynamics of Comets: their origin and evolution, Carusi, A. and Valsecchi, G. B. eds., Reidel, 185202.Google Scholar
Milani, A., Bowell, E., Knežević, Z., Lemaitre, A., Morbidelli, A. and Muinonen, K.: 1994, in Asteroids Comets Meteors 1993, Milani, A., Di Martino, M. and Cellino, A. eds., Kluwer, 467470.Google Scholar
Muinonen, K., and Bowell, E.I: 1993, Icarus, 104, 255279.Google Scholar
Zappalà, V., Cellino, A., Farinella, P. and Knežević, Z.: 1990, Astron. J. 100, 20302046.CrossRefGoogle Scholar