Open Access
| Issue |
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|
|
|---|---|---|
| Article Number | 03060 | |
| Number of page(s) | 9 | |
| Section | Offline Computing | |
| DOI | https://doi.org/10.1051/epjconf/202125103060 | |
| Published online | 23 August 2021 | |
- A. Buckley, H. Hoeth, H. Lacker, H. Schulz, J. von Seggern, The European Physical Journal C 65, 331 (2010) [Google Scholar]
- R. Devore, X.M. Yu, Transactions of the American Mathematical Society 293, 161 (1986) [Google Scholar]
- D.J. Newman, Michigan Math. J 11, 11 (1964) [Google Scholar]
- P. Gonnet, R. Pachón, L.N. Trefethen, Electron. Trans. Numer. Anal. 38, 146 (2011) [Google Scholar]
- R. Pachón, P. Gonnet, J. Van Deun, SIAM J. Numer. Anal. 50, 1713 (2012) [Google Scholar]
- J. Nocedal, S. Wright, Numerical optimization (Springer Science & Business Media, 2006) [Google Scholar]
- J.R. Shewchuk et al., An introduction to the conjugate gradient method without the agonizing pain (1994) [Google Scholar]
- R.H. Byrd, P. Lu, J. Nocedal, C. Zhu, SIAM Journal on scientific computing 16, 1190 (1995) [Google Scholar]
- A.R. Conn, N.I. Gould, P.L. Toint, Trust region methods (SIAM, 2000) [Google Scholar]
- M. Powell, Recent Research at Cambridge on Radial Basis Functions (New Developments in Approximation Theory, pp. 215–232. Birkhäuser, Basel, 1999) [Google Scholar]
- MPI for python, https://mpi4py.readthedocs.io/en/stable/tutorial.html [Google Scholar]
- W.E. Hart, C.D. Laird, J.P. Watson, D.L. Woodruff, G.A. Hackebeil, B.L. Nicholson, J.D. Siirola, Pyomo-optimization modeling in python, Vol. 67, 2nd edn. (Springer Science & Business Media, 2017) [Google Scholar]
- W.E. Hart, J.P. Watson, D.L. Woodruff, Mathematical Programming Computation 3, 219 (2011) [Google Scholar]
- ipopt - a cython wrapper for the ipopt optimization solver., https://pythonhosted.org/ ipopt/z [Google Scholar]
- M. Tanabashi, K. Hagiwara, K. Hikasa, K. Nakamura, Y. Sumino, F. Takahashi, J. Tanaka, K. Agashe, G. Aielli, C. Amsler et al. (Particle Data Group), Phys. Rev. D 98, 030001 (2018) [Google Scholar]
- R.J. Barlow, C. Beeston, Comput. Phys. Commun. 77, 219 (1993) [Google Scholar]
- M. Hoferichter, P. Klos, J. Menéndez, A. Schwenk, Phys. Rev. D94, 063505 (2016), 16–50. [Google Scholar]
- D.G. Cerdeño, A. Cheek, E. Reid, H. Schulz, JCAP 1808, 011 (2018), 18–174 [Google Scholar]
- F. Feroz, M.P. Hobson, M. Bridges, Mon. Not. Roy. Astron. Soc. 398, 1601 (2009), 89.3437 [Google Scholar]
- F. Feroz, M.P. Hobson, E. Cameron, A.N. Pettitt, Instrumentation and Methods for Astrophysics (2013), 1306.2144 [Google Scholar]
- J. Buchner, A. Georgakakis, K. Nandra, L. Hsu, C. Rangel, M. Brightman, A. Merloni, M. Salvato, J. Donley, D. Kocevski, aap 564, A125 (2014), 142.4 [Google Scholar]
- A. Fowlie, M.H. Bardsley, Eur. Phys. J. Plus 131, 391 (2016), 163.555 [Google Scholar]
- ATLAS Collaboration (ATLAS), Tech. Rep. ATL-PHYS-PUB-2014-021, CERN, Geneva (2014), https://cds.cern.ch/record/1966419 [Google Scholar]
- A. Buckley, ATLAS PYTHIA 8 tunes to 7 TeV data, in Proceedings of the Sixth International Workshop on Multiple Partonic Interactions at the Large Hadron Collider, CERN (CERN, Geneva, 2014), p. 29 [Google Scholar]
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