Modelling response of phononic Reissner–Mindlin plates using a spectral decomposition

Autor: Rohan, E., Cimrman, R., Miara, B.

Publikováno v: In Applied Mathematics and Computation 1 May 2015 258:617-630

On acoustic band gaps in homogenized piezoelectric phononic materials

Autor: Rohan E., Cimrman R.

Publikováno v: Applied and Computational Mechanics, Vol 4, Iss 1, Pp 89-100 (2010)

We consider a composite medium made of weakly piezoelectric inclusions periodically distributed in the matrix which ismade of a different piezoelectricmaterial. Themediumis subject to a periodic excitation with an incidence wave frequency independent

Externí odkaz: https://doaj.org/article/c310d4621c174419ad40fb7fae3dbdb7

Orientation of smooth muscle cells with application in mechanical model of gastropod tissue

Autor: Rohan E., Cimrman R:, Kochová P.

Publikováno v: Applied and Computational Mechanics, Vol 3, Iss 1, Pp 75-86 (2009)

In this paper, we determine the spatial orientation of smooth muscle cells of gastropod tissue. This together with volume fractions of smooth muscle cells and other tissue components obtained using stereological methods serves as input data for our m

Externí odkaz: https://doaj.org/article/cd412ad35ca343cb8209dac90f65dd92

Optimization of tram face with respect to passive safety

Autor: Hynčík L., Kocková H., Číhalová L., Cimrman R.

Publikováno v: Applied and Computational Mechanics, Vol 2, Iss 1, Pp 53-62 (2008)

An impact of a pedestrian and a tram or even an impact of two trams is a common traffic accident in towns. Hence there is an effort to develop such traffic means that minimize injuries of victims. The article deals with the optimization of placement

Externí odkaz: https://doaj.org/article/4cfb564f90244c938338b623ffb394ef

SciPy 1.0: fundamental algorithms for scientific computing in Python: 24 February 2020 : An amendment to this paper has been published and can be accessed via a link at the top of the paper

Autor: Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., Walt, S.J., Brett, M., Wilson, J., Millman, K.J., Mayorov, N., Nelson, A.R.J., Jones, E., Kern, R., Larson, E., Carey, C.J., Polat, I., Feng, Y., Moore, E.W., VanderPlas, J., Laxalde, D., Perktold, J., Cimrman, R., Henriksen, I., Quintero, E.A., Harris, C.R., Archibald, A.M., Ribeiro, A.H., Pedregosa, F., Mulbregt, P., Vijaykumar, A., Bardelli, A.P., Rothberg, A., Hilboll, A., Kloeckner, A., Scopatz, A., Lee, A., Rokem, A., Woods, C.N., Fulton, C., Masson, C., Häggström, C., Fitzgerald, C., Nicholson, D.A., Hagen, D.R., Pasechnik, D.V., Olivetti, E., Martin, E., Wieser, E., Lenders, F., Silva, Fabrice, Wilhelm, F., Young, G., Price, G.A., Ingold, G.-L., Allen, G.E., Lee, G.R., Audren, H., Probst, Irvin, Dietrich, J.P., Silterra, J., Webber, J.T., Slavič, J., Nothman, J., Buchner, J., Kulick, J., Schönberger, J.L., Miranda Cardoso, J.V., Reimer, J., Harrington, J., Rodríguez, J.L.C., Nunez-Iglesias, J., Kuczynski, J., Tritz, K., Thoma, M., Newville, M., Kümmerer, M., Bolingbroke, M., Tartre, M., Pak, M., Smith, N.J., Nowaczyk, N., Shebanov, N., Pavlyk, O., Brodtkorb, P.A., Lee, P., McGibbon, R.T., Feldbauer, R., Lewis, S., Tygier, S., Sievert, S., Vigna, S., Peterson, S., More, S., Pudlik, T., Oshima, T., Pingel, T.J., Robitaille, T.P., Spura, T., Jones, T.R., Cera, T., Leslie, T., Zito, T., Krauss, T., Upadhyay, U., Halchenko, Y.O., Vázquez-Baeza, Y., SciPy 1.0, Contributors

Publikováno v: Nature Methods
Nature Methods, 2020, 17, pp.261-272. ⟨10.1038/s41592-019-0686-2⟩
Virtanen, P, Gommers, R, Oliphant, T E, Haberland, M, Reddy, T, Cournapeau, D, Burovski, E, Peterson, P, Weckesser, W, Bright, J, Van Der Walt, S J, Brett, M, Wilson, J, Millman, K J, Mayorov, N, Nelson, A R J, Jones, E, Kern, R, Larson, E, Carey, C J, Polat, I, Feng, Y, Moore, E W, Vanderplas, J, Laxalde, D, Perktold, J, Cimrman, R, Henriksen, I, Quintero, E A, Harris, C R, Archibald, A M, Ribeiro, A H, Pedregosa, F, Van Mulbregt, P & Tygier, S 2020, ' SciPy 1.0: fundamental algorithms for scientific computing in Python ', Nature Methods . https://doi.org/10.1038/s41592-019-0686-2

SciPy is an open source scientific computing library for the Python programming language. SciPy 1.0 was released in late 2017, about 16 years after the original version 0.1 release. SciPy has become a de facto standard for leveraging scientific algor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdc72e11bb5b5dd5b8be9cd6adc0e9b9
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/69920