The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
Lenka Čelechovská (2004)
Applications of Mathematics
Similarity:
The parameter estimation problem for a continuous dynamical system is a difficult one. In this paper we study a simple mathematical model of the liver. For the parameter identification we use the observed clinical data obtained by the BSP test. Bellman’s quasilinearization method and its modifications are applied.
Rafał Zdunek (2014)
International Journal of Applied Mathematics and Computer Science
Similarity:
Rafał Zdunek (2014)
International Journal of Applied Mathematics and Computer Science
Similarity:
Cantó, Begoña, Coll, Carmen, Sánchez, Elena (2011)
Mathematical Problems in Engineering
Similarity:
Miroslav Kárný, Martin Šámal, Josef Böhm (1998)
Kybernetika
Similarity:
Reconstruction of underlying physiological structures from a sequence of images is a long-standing problem which has been solved by factor analysis with a success. This paper tries to return to roots of the problem, to exploit the available findings and to propose an improved paradigm.
Yuan, Yongxin (2008)
Mathematical Problems in Engineering
Similarity:
Diamandescu, A. (2009)
Electronic Journal of Qualitative Theory of Differential Equations [electronic only]
Similarity:
Zuber, Irina E. (1998)
Journal of Applied Mathematics and Stochastic Analysis
Similarity:
Krzysztof Simek (2003)
International Journal of Applied Mathematics and Computer Science
Similarity:
Recently, data on multiple gene expression at sequential time points were analyzed using the Singular Value Decomposition (SVD) as a means to capture dominant trends, called characteristic modes, followed by the fitting of a linear discrete-time dynamical system in which the expression values at a given time point are linear combinations of the values at a previous time point. We attempt to address several aspects of the method. To obtain the model, we formulate a nonlinear optimization...