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Two optimization techniques as used in a general four compartment first-order system
Life is a continuously changing phenomenon, and the capacity to observe time-dependent processes by nondestructive means (for example, by tracer techniques) provides functional information which cannot be otherwise obtained. The present study deals with the identification of exchange parameters for...
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Published in: | Mathematical and computer modelling 2001-04, Vol.33 (8), p.1027-1033 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Life is a continuously changing phenomenon, and the capacity to observe time-dependent processes by nondestructive means (for example, by tracer techniques) provides functional information which cannot be otherwise obtained. The present study deals with the identification of exchange parameters for a general four compartment model in which the tracer in every compartment can exchange with every other compartment. The method of solution is based on two optimization techniques, namely: the Alienor technique and the Gabriel technique. These techniques reduce different unknowns involved in the problem to a single variable θ, with the help of Archimedes' spiral, thus leading to the global minimum of a functional of single variable θ. Results are compared with those obtained by generalized least squares method in terms of accuracy and computational time. |
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ISSN: | 0895-7177 1872-9479 |
DOI: | 10.1016/S0895-7177(00)00297-1 |