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pro vyhledávání: '"Isuru Dilanka Fernando"'
Publikováno v:
ICPP
We present a scalable distributed memory library for generating and computations involving structured dense matrices, such as those produced by boundary integral equation formulations. Such matrices are dense, but have special structure that can be e
Autor:
Matthew Rocklin, Sumith Kulal, Richard P. Muller, Brian E. Granger, Amit Kumar, Andy R. Terrel, Ashutosh Saboo, Aaron Meurer, Thilina Rathnayake, Jason K. Moore, Mateusz Paprocki, Štěpán Roučka, Isuru Dilanka Fernando, Shivam Vats, Ondřej Čertík, Robert Cimrman, Anthony Scopatz, Sartaj Singh, Christopher Smith, Sergey B Kirpichev, Sergiu Ivanov, Matthew Curry, Fredrik Johansson, Francesco Bonazzi, Fabian Pedregosa, Harsh Gupta, Sean Vig
Publikováno v:
PeerJ Computer Science, Vol 3, p e103 (2017)
PeerJ Computer Science
PeerJ Computer Science, 2017, 3, pp.e103. ⟨10.7287/peerj.preprints.2083v3⟩
PeerJ Comput.Sci.
PeerJ Comput.Sci., 2017, 3, pp.e103. ⟨10.7717/peerj-cs.103⟩
PeerJ Computer Science, PeerJ, 2017, pp.e103. ⟨10.7287/peerj.preprints.2083v3⟩
PeerJ Computer Science
PeerJ Computer Science, 2017, 3, pp.e103. ⟨10.7287/peerj.preprints.2083v3⟩
PeerJ Comput.Sci.
PeerJ Comput.Sci., 2017, 3, pp.e103. ⟨10.7717/peerj-cs.103⟩
PeerJ Computer Science, PeerJ, 2017, pp.e103. ⟨10.7287/peerj.preprints.2083v3⟩
Článek pojednává o architektuře SymPy, popisuje vlastnosti tohoto softwaru a vybrané pod-moduly. SymPy is an open source computer algebra system written in pure Python. It is built with a focus on extensibility and ease of use, through both int