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Problem diskretne $L_p$ aproksimacije u nekim specijalnim matematičkim modelima (CROSBI ID 329597)

Ocjenski rad | doktorska disertacija

Marošević, Tomislav Problem diskretne $L_p$ aproksimacije u nekim specijalnim matematičkim modelima / Scitovski, Rudolf (mentor); Zagreb, Prirodoslovno-matematički fakultet, Zagreb, . 1998

Podaci o odgovornosti

Marošević, Tomislav

Scitovski, Rudolf

hrvatski

Problem diskretne $L_p$ aproksimacije u nekim specijalnim matematičkim modelima

We consider the best discrete approximation problem in the sense of the least $L_p$-norm ($1leq p< infty$) in some special mathematical models. We look at the estimation problem of the unknown parameters of special model-functions on the basis of the given finite data points set, which can have weights. As a criterion for the optimality of parameters, one uses the least deviations in the sense of the ordinary $L_p$-norm ($1leq p< infty$), if only the measured values of the dependent variable contain errors. In the total approximation problem, when unknown additive errors occur in the measured values of both the dependent and the independent variable, the criterion of the least total $L_p$-norm ($1leq p < infty$) is used. In practice, the most usually used $L_p$-norm is for $p=2$ (least squares), but in many situations the use of some other $L_p$-norm is reasonable. For example, if the data can contain outlying points (``outliers''), then one should use the $L_1$-norm because of its robustness property. The main problem considered in this work is the existence of optimal parameters of some special model-functions. We prove theorems on the existence of optimal parameters in the sense of the least (weighted) ordinary $L_p$-norm ($1leq p < infty$) for an exponential model-function and for a generalized logistic model-function, under assumption that the data are either positive or negative. As corollaries, analogous results on the existence for both the exponential model-function and the generalized logistic model-function with in advancegiven asymptotes are stated. In addition, we prove the existence of optimal parameters in the sense of the least (weighted) total $L_p$-norm ($1leq p <infty$) for the affine model-function, for the exponential model-function and for the generalized logistic model-function, under the monotonicity condition on the data. Also, analogous corollaries on the existence for the exponential model-function and the generalized logistic model-function with in advance known asymptotes are stated. At the end, for the purpose of illustration of necessity and possibility for using the $L_p$-norm for various values $p$, we briefly describe some methods for the estimation of optimal parameters in the $L_p$-norm. We also consider a smoothing-the-data method as a moving $L_p$ method for various values of $p$. The usage of this method is illustrated with solving a parameter identification problem in a model described by a differential equation.

diskretna $L_p$ aproksimacija; matematički model; procjena parametara; problem egzistencije

nije evidentirano

engleski

Discrete $L_p$ Approximation Problem In Some Special Mathematical Models

nije evidentirano

discrete $L_p$ approximation; mathematical model; parameter estimation; existence problem

nije evidentirano

Podaci o izdanju

81

14.07.1998.

obranjeno

Podaci o ustanovi koja je dodijelila akademski stupanj

Prirodoslovno-matematički fakultet, Zagreb

Zagreb

Povezanost rada

Matematika