Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Oana Chiş"'
Autor:
Oana, Chis, Dumitru, Opris
In this work we present a new approach on studying dynamical systems. Combining the two ways of expressing the uncertainty, using probabilistic theory and credibility theory, we have research the generalized fractional hybrid equations. We have intro
Externí odkaz:
http://arxiv.org/abs/0909.2720
Autor:
Oana, Chis, Dumitru, Opris
In this paper we established the condition for a curve to satisfy stochas- tic fractional HP (Hamilton-Pontryagin) equations. These equations are described using It^o integral. We have also considered the case of stochastic fractional Hamiltonian equ
Externí odkaz:
http://arxiv.org/abs/0906.4510
Autor:
Oana, Chiş Anca1,2 ancaoanachis@yahoo.com, Tatiana, Dănescu1,2 tatiana_danescu@yahoo.com
Publikováno v:
Annals of the University of Oradea, Economic Science Series. Jul2013, Vol. 22 Issue 1, p1310-1315. 6p.
Publikováno v:
Mathematical Biosciences
Digital.CSIC. Repositorio Institucional del CSIC
instname
Digital.CSIC. Repositorio Institucional del CSIC
instname
25 páginas, 11 figuras, 2 tablas
Dynamic models of biochemical networks are often formulated as sets of non-linear ordinary differential equations, whose states are the concentrations or abundances of the network components. They typically have
Dynamic models of biochemical networks are often formulated as sets of non-linear ordinary differential equations, whose states are the concentrations or abundances of the network components. They typically have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dd9844b2f0d398b55aa046b89e8a60f
Publikováno v:
Current Bioinformatics. 6:35-43
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9875d0f3cf8aec88cfa1e34ee180ba2e
https://doi.org/10.2174/157489311795222419
https://doi.org/10.2174/157489311795222419
Autor:
Mircea Puta, Oana Chiş
Publikováno v:
International Journal of Geometric Methods in Modern Physics. :521-535
We discuss some geometrical and dynamical properties of Rabinovich systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd792f3903789e2d3f0fca93b2fa0418
https://doi.org/10.1142/s0219887808002916
https://doi.org/10.1142/s0219887808002916
Publikováno v:
PLoS ONE
PLoS ONE, Vol 6, Iss 11, p e27755 (2011)
Digital.CSIC. Repositorio Institucional del CSIC
instname
PLoS ONE, Vol 6, Iss 11, p e27755 (2011)
Digital.CSIC. Repositorio Institucional del CSIC
instname
16 páginas, 2 tablas, 6 figuras
Analysing the properties of a biological system through in silico experimentation requires a satisfactory mathematical representation of the system including accurate values of the model parameters. Fortunately,
Analysing the properties of a biological system through in silico experimentation requires a satisfactory mathematical representation of the system including accurate values of the model parameters. Fortunately,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b1217693f3bb02e9d44c3d507da8181
http://hdl.handle.net/10261/45967
http://hdl.handle.net/10261/45967
Autor:
Dumitru Opris, Oana Chiş
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
In this paper we present a new approach on the study of dynamical systems. Combining the two ways of expressing the uncertainty, using probabilistic theory and credibility theory, we have investigated the generalized fractional hybrid equations. We h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2316d7a557b83fc69059b19c6edcb053
http://hdl.handle.net/10261/44297
http://hdl.handle.net/10261/44297
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
6 pages, 2 figures, 1 table
Model parametric identification is a critical yet often overlooked step for the modelling of biosystems. Modern experimental techniques can be used to obtain time-series data which may then be used to estimate model p
Model parametric identification is a critical yet often overlooked step for the modelling of biosystems. Modern experimental techniques can be used to obtain time-series data which may then be used to estimate model p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fed305aabd3e5a1527f42da0a4fbd94
http://hdl.handle.net/10261/279781
http://hdl.handle.net/10261/279781
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
13 páginas
We consider the deterministic model of interaction between the immune system and tumor cells including a memory function that reflects the influence of the past states, to simulate the time needed by the latter to develop a chemical
We consider the deterministic model of interaction between the immune system and tumor cells including a memory function that reflects the influence of the past states, to simulate the time needed by the latter to develop a chemical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60f1e149692c3c7912977bf4b3e0b620
http://hdl.handle.net/10261/54434
http://hdl.handle.net/10261/54434