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Parameter Identification Using Quasi-Linearization
SIMULATION, 1982Identification problems are fundamental to science, engineering, and medicine. In such problems the characteristics of a system must be determined from observations. For example, in managing water re sources, we must determine the transmissivity of an aquifer from measurements of the underground water level at a number of wells.
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Parameter identification in epidemic models
Mathematical Biosciences, 2011Starting from a recent paper of Pollicott, Wang and Weiss we try to obtain improved representation formulas for the estimation of the time-dependent transmission rate of an epidemic in terms of either incidence or prevalence data. Although the formulas are (trivially) mathematically equivalent to previous formulas, the new representations need no ...
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Proceedings of 1994 IEEE International Conference on Industrial Technology - ICIT '94, 2002
The damped wave equation for seismic exploration is given for the evaluation of stratum acoustic impedance. The Chauchy problem is applied instead of the mixed problem in the process of identifying acoustic impedance. The author also gives a fast recursive identification algorithm layer by layer.
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The damped wave equation for seismic exploration is given for the evaluation of stratum acoustic impedance. The Chauchy problem is applied instead of the mixed problem in the process of identifying acoustic impedance. The author also gives a fast recursive identification algorithm layer by layer.
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Parameter Identification (Estimation)
2010The separate stages of the modeling and simulation lead to specific calculation problems. The modeling at the stage of parameter estimation must solve incorrect inverse problems and minimize multiextremal functions, where the calculation of the least-squares function needs the solution of differential equations.
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Analysis of a parameter identification problem
Applied Mathematics and Computation, 1997We consider a special parameter identification problem occurring in marketing research, and give conditions on the empirical data which guarantee the existence of the solution to the problem. Furthermore, we analyze several different approaches and methods for solving this parameter identification problem.
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Identification of Kinetic Parameters
2011This chapter provides a general introduction to the identification of mathematical models and to the methods for estimating the relevant adjustable parameters. First, the Bayesian approach is briefly discussed as compared to Popper’s falsificationism.
Fabrizio Caccavale +3 more
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Identification from frequency parameters
Differential Equations, 2006In the present paper, we use the following notation: j is the imaginary unit, i, j = {i, i + 1, . . . , j − 1, j}, En and 0n are the identity and zero n×n matrices, respectively, rowiA is the ith row of a matrix A, colj A is the jth column of A, and ⊗ stands for the Kronecker multiplication of matrices.
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Parameter Identification Using Aspects
1999The human cardiovascular system (CVS) is a complex dynamical system. The determination of models for individual subjects/astronauts is of particular interest in (space) medicine. CVS models complexity and the large number of free parameters cause standard system identification methods to fail. A concept named aspect is introduced.
Alexander Asteroth +2 more
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
MULTISCALE PARAMETER IDENTIFICATION
International Journal for Multiscale Computational Engineering, 2012Ulrike Schmidt +2 more
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