EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 691 (November 2024) A&A, 691 (2024) A71 References
Open Access
Issue
A&A
Volume 691, November 2024
Article Number A71
Number of page(s) 13
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/202348614
Published online 30 October 2024
  1. Aarseth, S. J. 1985, in Multiple Time Scales, 377 [Google Scholar]
  2. Allen, G., Benger, W., Dramlitsch, T., et al. 2001, in Euro-Par 2001 Parallel Processing: 7th International Euro-Par Conference Manchester, UK, August 28–31, 2001 Proceedings 7 (Springer), 817 [Google Scholar]
  3. Babur, O., Smilauer, V., Verhoeff, T., & van den Brand, M. 2015, in Procedia Computer Science Volume 51 Issue C, 1501 (Technische Universiteit Eindhoven), 1088 [Google Scholar]
  4. Borgdorff, J., Falcone, J.-L., Lorenz, E., et al. 2013, J. Parallel Distrib. Comput., 73, 465 [CrossRef] [Google Scholar]
  5. Bovy, J. 2015, ApJS, 216, 29 [NASA ADS] [CrossRef] [Google Scholar]
  6. Chopard, B., Borgdorff, J., & Hoekstra, A. 2014, Philos. Trans. Ser. A Math. Phys. Eng. Sci., 372 [Google Scholar]
  7. Christlieb, A. J., Liu, Y., & Xu, Z. 2015, J. Computat. Phys., 294, 224 [NASA ADS] [CrossRef] [Google Scholar]
  8. Einarsrud, K. E., Eick, I., Bai, W., et al. 2017, Appl. Math. Model., 44, 3 [CrossRef] [Google Scholar]
  9. Emsenhuber, A., Mordasini, C., Burn, R., et al. 2021, A&A, 656, A69 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Fujii, M., Iwasawa, M., Funato, Y., & Makino, J. 2007, Publ. Astron. Soc. Japan, 59, 1095 [CrossRef] [Google Scholar]
  11. Goodale, T., Allen, G., Lanfermann, G., et al. 2003, in High Performance Computing for Computational Science – VECPAR 2002, ed. J. M. L. M. Palma, A. A. Sousa, J. Dongarra, & V. Hernández (Berlin, Heidelberg: Springer Berlin Heidelberg), 197 [CrossRef] [Google Scholar]
  12. Huang, S., Portegies Zwart, S., & Wilhelm, M. J. C. 2024, A&A, 689, A338 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Jänes, J., Pelupessy, I., & Portegies Zwart, S. 2014, A&A, 570, A20 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Jia, H., & Li, K. 2011, Math. Comput. Model., 53, 387 [CrossRef] [Google Scholar]
  15. Kroupa, P. 2001, MNRAS, 322, 231 [NASA ADS] [CrossRef] [Google Scholar]
  16. McMillan, S., Portegies Zwart, S., van Elteren, A., & Whitehead, A. 2012, in Advances in Computational Astrophysics: Methods, Tools, and Outcome, eds. R. Capuzzo-Dolcetta, M. Limongi, & A. Tornambè, Astronomical Society of the Pacific Conference Series, 453, 129 [NASA ADS] [Google Scholar]
  17. McMillan, S. L. W. 1986, in The Use of Supercomputers in Stellar Dynamics, 267, eds. P. Hut, & S. L. W. McMillan, 156 [NASA ADS] [CrossRef] [Google Scholar]
  18. Miller, R. H. 1964, ApJ, 140, 250 [NASA ADS] [CrossRef] [Google Scholar]
  19. Miyamoto, M., & Nagai, R. 1975, Publ. Astron. Soc. Japan, 27, 533 [Google Scholar]
  20. Navarro, J. F., Frenk, C. S., & White, S. D. M. 1996, ApJ, 462, 563 [Google Scholar]
  21. Pelupessy, F. I., & Portegies Zwart, S. 2012, MNRAS, 420, 1503 [NASA ADS] [CrossRef] [Google Scholar]
  22. Pelupessy, F. I., Jänes, J., & Portegies Zwart, S. 2012, New Astron., 17, 711 [Google Scholar]
  23. Pelupessy, F. I., van Elteren, A., de Vries, N., et al. 2013, A&A, 557, A84 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. Peters, B., Baniasadi, M., Baniasadi, M., et al. 2018, arXiv e-prints [arXiv:1808.08028] [Google Scholar]
  25. Portegies Zwart, S. 2018, Science, 361, 979 [NASA ADS] [CrossRef] [Google Scholar]
  26. Portegies Zwart, S. F., & Verbunt, F. 1996, A&A, 309, 179 [NASA ADS] [Google Scholar]
  27. Portegies Zwart, S., McMillan, S., Harfst, S., et al. 2009, New Astron., 14, 369 [Google Scholar]
  28. Portegies Zwart, S., McMillan, S. L. W., van Elteren, E., Pelupessy, I., & de Vries, N. 2013, Comput. Phys. Commun., 184, 456 [Google Scholar]
  29. Portegies Zwart, S., Pelupessy, I., Martínez-Barbosa, C., van Elteren, A., & McMillan, S. 2020a, Commun. Nonlinear Sci. Numer. Simul., 85, 105240 [Google Scholar]
  30. Portegies Zwart, S., Pelupessy, I., Martínez-Barbosa, C., van Elteren, A., & McMillan, S. 2020b, Commun. Nonlinear Sci. Numer. Simul., 85, 105240 [Google Scholar]
  31. Rin, R., Tomin, P., Garipov, T., Voskov, D., & Tchelepi, H., eds. 2017, SPE Reservoir Simulation Conference, Vol. Day 3 Wed, February 22, 2017, General Implicit Coupling Framework for Multi-Physics Problems, eds. R. Rin, P. Tomin, T. Garipov, D. Voskov, & H. Tchelepi, D031S012R001 [Google Scholar]
  32. Strang, G. 1968, SIAM J. Numer. Anal., 5, 506 [CrossRef] [MathSciNet] [Google Scholar]
  33. Terlevich, E. 1987, MNRAS, 224, 193 [NASA ADS] [CrossRef] [Google Scholar]
  34. Toonen, S., Nelemans, G., & Portegies Zwart, S. 2012, A&A, 546, A70 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  35. van Elteren, A., Portegies Zwart, S., Pelupessy, I., Cai, M. X., & McMillan, S. L. W. 2019, A&A, 624, A120 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Veen, L. E., & Hoekstra, A. G. 2020, in Computational Science – ICCS 2020, eds. V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, et al. (Cham: Springer International Publishing), 425 [CrossRef] [Google Scholar]
  37. Verlet, L. 1967, Phys. Rev., 159, 98 [CrossRef] [Google Scholar]
  38. Wielen, R. 1967, Veroeffentlich. Astron. Rechen-Inst. Heidelberg, 19, 1 [NASA ADS] [Google Scholar]
  39. Xianmeng, W., Mingyu, W., Xiao, H., et al. 2021, Veroeffentlichungen Simulation, 97, 687 [CrossRef] [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.