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Nilsen, Jon K. (2007) Python in scientific computing: Applications to Bose–Einstein condensates. Computer Physics Communications, 177. 45pp. doi:10.1016/j.cpc.2007.02.093

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Reference TypeJournal (article/letter/editorial)
TitlePython in scientific computing: Applications to Bose–Einstein condensates
JournalComputer Physics Communications
AuthorsNilsen, Jon K.Author
Year2007 (July)Volume177
PublisherElsevier BV
DOIdoi:10.1016/j.cpc.2007.02.093Search in ResearchGate
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Mindat Ref. ID6598802Long-form Identifiermindat:1:5:6598802:0
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Full ReferenceNilsen, Jon K. (2007) Python in scientific computing: Applications to Bose–Einstein condensates. Computer Physics Communications, 177. 45pp. doi:10.1016/j.cpc.2007.02.093
Plain TextNilsen, Jon K. (2007) Python in scientific computing: Applications to Bose–Einstein condensates. Computer Physics Communications, 177. 45pp. doi:10.1016/j.cpc.2007.02.093
In(n.d.) Computer Physics Communications Vol. 177. Elsevier BV

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Wang, Hao, Cai, Wenjun, Song, Yongzhong, Wang, Yushun (2025) Reconfigured continuous normalized gradient flow for computing ground states of Bose-Einstein condensates. Computer Physics Communications, 309. doi:10.1016/j.cpc.2025.109506
Borcherds, P.H. (2007) Python: a language for computational physics. Computer Physics Communications, 177. 199-201 doi:10.1016/j.cpc.2007.02.019
Chang, S.-L., Chien, C.-S., Li, Z.-C. (2008) A finite difference continuation method for computing energy levels of Bose–Einstein condensates. Computer Physics Communications, 179. 208-226 doi:10.1016/j.cpc.2008.02.014
Hohenester, Ulrich (2014) OCTBEC—A Matlab toolbox for optimal quantum control of Bose–Einstein condensates. Computer Physics Communications, 185. 194-216 doi:10.1016/j.cpc.2013.09.016
Madarassy, Enikő J.M., Toth, Viktor T. (2013) Numerical simulation code for self-gravitating Bose–Einstein condensates. Computer Physics Communications, 184. 1339-1343 doi:10.1016/j.cpc.2012.12.024
 
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