Zobrazeno 1 - 10
of 121
pro vyhledávání: '"matemaattiset mallit"'
Autor:
Nikolay Kuznetsov, Timur Mokaev, Vladimir Ponomarenko, Evgeniy Seleznev, Nataliya Stankevich, Leon Chua
Publikováno v:
Nonlinear Dynamics. 111:5859-5887
After the discovery in early 1960s by E. Lorenz and Y. Ueda of the first example of a chaotic attractor in numerical simulation of a real physical process, a new scientific direction of analysis of chaotic behavior in dynamical systems arose. Despite
Autor:
Sanna Mönkölä, Joona Räty
Publikováno v:
International Journal for Numerical Methods in Engineering. 124:1035-1054
The discrete exterior calculus (DEC) is very promising, though not yet widely used, discretization method for photonic crystal (PC) waveguides. It can be seen as a generalization of the finite difference time domain (FDTD) method. The DEC enables eff
Autor:
Sara Hamis, Panu Somervuo, J. Arvid Ågren, Dagim Shiferaw Tadele, Juha Kesseli, Jacob G. Scott, Matti Nykter, Philip Gerlee, Dmitri Finkelshtein, Otso Ovaskainen
Theoretical and applied cancer studies that use individual-based models (IBMs) have been limited by the lack of a mathematical formulation that enables rigorous analysis of these models. However, spatial cumulant models (SCMs), which have arisen from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c251dc2accf610ff1d9c1a0d1f2f98a
http://hdl.handle.net/10138/357583
http://hdl.handle.net/10138/357583
Nanopatterning can be used to strongly control the thermal properties of solids, but theoretical understanding relies often on complex numerical simulations. Here, an analytical theory is derived for the low temperature heat capacity of a nanopattern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::a0f68c90958951b88428b21b4216ed8c
http://urn.fi/URN:NBN:fi:jyu-202302021595
http://urn.fi/URN:NBN:fi:jyu-202302021595
Autor:
Kettunen, Lauri, Neittaanmäki, Pekka, Tuovinen, Tero, Knoerzer, Dietrich
The CM3 – Transport Conference 2023 is organized by the University of Jyväskylä, supported by Jamk – University of Applied Sciences, in Jyväskylä/ Finland. The event represents an ECCOMAS Thematic Conference in the context of the activities p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1222::3ca5b01b057d6aa41288b0507d15219e
http://urn.fi/URN:NBN:fi:jyu-202306214058
http://urn.fi/URN:NBN:fi:jyu-202306214058
Achilles sub-tendons are materially and geometrically challenging structures that can nearly undergo around 15% elongation from their pre-twisted initial states during physical activities. Sub-tendons' cross-sectional shapes are subject-specific, var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9f780b135c166a0bbe4ebe607625f6d
https://lirias.kuleuven.be/handle/20.500.12942/700183
https://lirias.kuleuven.be/handle/20.500.12942/700183
Autor:
Matthias Karl, Liisa Pirjola, Tiia Grönholm, Mona Kurppa, Srinivasan Anand, Xiaole Zhang, Andreas Held, Rolf Sander, Miikka Dal Maso, David Topping, Shuai Jiang, Leena Kangas, Jaakko Kukkonen
Publikováno v:
Geoscientific Model Development
Geoscientific Model Development, 15 (9)
Karl, M.; Pirjola, L.; Grönholm, T.; Kurppa, M.; Anand, S.; Zhang, X.; Held, A.; Sander, R.; Dal Maso, M.; Topping, D.; Jiang, S.; Kangas, L.; Kukkonen, J.: Description and evaluation of the community aerosol dynamics model MAFOR v2.0. In: Geoscientific Model Development. Vol. 15 (2022) 9, 3969-4026. (DOI: /10.5194/gmd-15-3969-2022)
Geoscientific Model Development, 15 (9)
Karl, M.; Pirjola, L.; Grönholm, T.; Kurppa, M.; Anand, S.; Zhang, X.; Held, A.; Sander, R.; Dal Maso, M.; Topping, D.; Jiang, S.; Kangas, L.; Kukkonen, J.: Description and evaluation of the community aerosol dynamics model MAFOR v2.0. In: Geoscientific Model Development. Vol. 15 (2022) 9, 3969-4026. (DOI: /10.5194/gmd-15-3969-2022)
Numerical models are needed for evaluating aerosol processes in the atmosphere in state-of-the-art chemical transport models, urban-scale dispersion models, and climatic models. This article describes a publicly available aerosol dynamics model, MAFO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54a1e668e9db307bd7c491f9bf4e9709
https://gmd.copernicus.org/articles/15/3969/2022/
https://gmd.copernicus.org/articles/15/3969/2022/
Publikováno v:
SIAM/ASA Journal on Uncertainty Quantification. 9:763-787
We develop a Bayesian inference method for diffusions observed discretely and with noise, which is free of discretisation bias. Unlike existing unbiased inference methods, our method does not rely on exact simulation techniques. Instead, our method u
This letter deals with a novel variant of antithetic integral feedback controller (AIFC) motifs which can feature robust perfect adaptation, a pervasive (desired) ability in natural (synthetic) biomolecular circuits, when coupled with a wide class of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c5064bf10083749eca5c22743e48c4c
http://urn.fi/URN:NBN:fi:jyu-202112025874
http://urn.fi/URN:NBN:fi:jyu-202112025874
The quantized vortices in superfluids are modeled by the Gross-Pitaevskii equation whose numerical time integration is instrumental in the physics studies of such systems. In this paper, we present a reliable numerical method and its efficient GPU-ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f06b9a07d67db8707cea764a3789fa4
http://urn.fi/URN:NBN:fi:jyu-202208174180
http://urn.fi/URN:NBN:fi:jyu-202208174180