Free Access
Volume 571, November 2014
Article Number A38
Number of page(s) 13
Section Numerical methods and codes
Published online 04 November 2014
  1. Agol, E., & Steffen, J. H. 2007, MNRAS, 374, 941 [NASA ADS] [CrossRef] [Google Scholar]
  2. Agol, E., Steffen, J., Sari, R., & Clarkson, W. 2005, MNRAS, 359, 567 [NASA ADS] [CrossRef] [Google Scholar]
  3. Barros, S. C. C., Diaz, R. F., Santerne, A., et al. 2014, A&A, 561, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Broeg, C., Fortier, A., Ehrenreich, D., et al. 2013, EPJ Web Conf., 47, 3005 [CrossRef] [EDP Sciences] [Google Scholar]
  5. Cash, J. R., & Karp, A. H. 1990, ACM Trans. Math. Softw., 16, 201 [CrossRef] [Google Scholar]
  6. Chambers, J. E., & Migliorini, F. 1997, in AAS/Division for Planetary Sciences Meeting Abstracts #29 (Richmond: Willamann-Bell), BAAS, 29, 1024 [Google Scholar]
  7. Charbonneau, P. 1995, ApJS, 101, 309 [NASA ADS] [CrossRef] [Google Scholar]
  8. Danby, J. M. A. 1988, Fundamentals of celestial mechanics (Richmond, Va., USA: Willmann-Bell) [Google Scholar]
  9. Deck, K. M., Agol, E., Holman, M. J., & Nesvorný, D. 2014, ApJ, 787, 132 [NASA ADS] [CrossRef] [Google Scholar]
  10. Deprit, A. 1969, Celest. Mech., 1, 12 [NASA ADS] [CrossRef] [Google Scholar]
  11. Eberhart, R. C. 2007, Computational Intelligence: Concepts to Implementations (San Francisco: Morgan Kaufmann Publishers Inc.) [Google Scholar]
  12. Fabrycky, D. C. 2011, Non-Keplerian Dynamics of Exoplanets (University of Arizona Press), ed. S. Seager, 217 [Google Scholar]
  13. Feroz, F., Hobson, M. P., & Bridges, M. 2009, MNRAS, 398, 1601 [NASA ADS] [CrossRef] [Google Scholar]
  14. Ford, E. B., Rowe, J. F., Fabrycky, D. C., et al. 2011, ApJS, 197, 2 [NASA ADS] [CrossRef] [Google Scholar]
  15. Goldberg, D. E. 1989, Genetic Algorithms in Search, Optimization and Machine Learning, 1st edn. (Boston: Addison-Wesley Longman Publishing Co., Inc.) [Google Scholar]
  16. Holland, J. 1975, Adaptation in Natural and Artificial Systems (The University of Michigan Press) [Google Scholar]
  17. Holman, M. J., & Murray, N. W. 2005, Science, 307, 1288 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  18. Holman, M. J., Fabrycky, D. C., Ragozzine, D., et al. 2010, Science, 330, 51 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  19. Hori, G. 1966, PASJ, 18, 287 [NASA ADS] [Google Scholar]
  20. Irwin, J. B. 1952, ApJ, 116, 211 [NASA ADS] [CrossRef] [Google Scholar]
  21. Kennedy, J., & Eberhart, R. 1995, in Neural Networks, 1995, Proc. IEEE Inter. Conf., 4, 1942 [Google Scholar]
  22. Latham, D. W., Rowe, J. F., Quinn, S. N., et al. 2011, ApJ, 732, L24 [NASA ADS] [CrossRef] [Google Scholar]
  23. Lissauer, J. J., Fabrycky, D. C., Ford, E. B., et al. 2011a, Nature, 470, 53 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  24. Lissauer, J. J., Ragozzine, D., Fabrycky, D. C., et al. 2011b, ApJS, 197, 8 [NASA ADS] [CrossRef] [Google Scholar]
  25. Lissauer, J. J., Jontof-Hutter, D., Rowe, J. F., et al. 2013, ApJ, 770, 131 [NASA ADS] [CrossRef] [Google Scholar]
  26. Masuda, K., Hirano, T., Taruya, A., Nagasawa, M., & Suto, Y. 2013, ApJ, 778, 185 [NASA ADS] [CrossRef] [Google Scholar]
  27. Mazeh, T., Nachmani, G., Holczer, T., et al. 2013, ApJS, 208, 16 [NASA ADS] [CrossRef] [Google Scholar]
  28. Migaszewski, C., Słonina, M., & Goździewski, K. 2012, MNRAS, 427, 770 [NASA ADS] [CrossRef] [Google Scholar]
  29. Miralda-Escudé, J. 2002, ApJ, 564, 1019 [NASA ADS] [CrossRef] [Google Scholar]
  30. Moré, J. J., Garbow, B. S., & Hillstrom, K. E. 1980, User guide for MINPACK-1, Tech. Rep. ANL-80-74, Argonne Nat. Lab., Argonne, IL [Google Scholar]
  31. Murray, C. D., & Correia, A. C. M. 2011, in Keplerian Orbits and Dynamics of Exoplanets (Tucson: University of Arizona Press), ed. S. Piper, 15 [Google Scholar]
  32. Murray, C. D., & Dermott, S. F. 2000, Solar System Dynamics (Cambridge: Cambridge University Press) [Google Scholar]
  33. Nascimbeni, V., Piotto, G., Bedin, L. R., & Damasso, M. 2011, A&A, 527, A85 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Nesvorný, D. 2009, ApJ, 701, 1116 [NASA ADS] [CrossRef] [Google Scholar]
  35. Nesvorný, D., & Morbidelli, A. 2008, ApJ, 688, 636 [NASA ADS] [CrossRef] [Google Scholar]
  36. Nesvorný, D., Kipping, D., Terrell, D., et al. 2013, ApJ, 777, 3 [NASA ADS] [CrossRef] [Google Scholar]
  37. Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. 1996, Numerical recipes in Fortran 90: the art of parallel scientific computing, 2nd edn. (New York: Cambridge University Press) [Google Scholar]
  38. Steffen, J. H., & Agol, E. 2005, MNRAS, 364, L96 [NASA ADS] [CrossRef] [Google Scholar]
  39. Tada, T. 2007, Journal of Japan Society of Hydrology & Water Resources, 20, 450 [CrossRef] [Google Scholar]
  40. Torres, G., Fressin, F., Batalha, N. M., et al. 2011, ApJ, 727, 24 [NASA ADS] [CrossRef] [Google Scholar]
  41. Vogt, S. S., Allen, S. L., Bigelow, B. C., et al. 1994, in SPIE Conf. Ser. 2198, eds. D. L. Crawford, & E. R. Craine, 362 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.