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On the Optimization of Initial Conditions for a Model Parameter Estimation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F17%3A00476436" target="_blank" >RIV/67985807:_____/17:00476436 - isvavai.cz</a>

  • Result on the web

    <a href="http://hdl.handle.net/10338.dmlcz/703000" target="_blank" >http://hdl.handle.net/10338.dmlcz/703000</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21136/panm.2016.09" target="_blank" >10.21136/panm.2016.09</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On the Optimization of Initial Conditions for a Model Parameter Estimation

  • Original language description

    The design of an experiment, e.g., the setting of initial conditions, strongly influences the accuracy of the process of determining model parameters from data. The key concept relies on the analysis of the sensitivity of the measured output with respect to the model parameters. Based on this approach we optimize an experimental design factor, the initial condition for an inverse problem of a model parameter estimation. Our approach, although case independent, is illustrated at the FRAP (Fluorescence Recovery After Photobleaching) experimental technique. The core idea resides in the maximization of a sensitivity measure, which depends on the initial condition. Numerical experiments show that the discretized optimal initial condition attains only two values. The number of jumps between these values is inversely proportional to the value of a diffusion coefficient D (characterizing the biophysical and numerical process). The smaller value of D is, the larger number of jumps occurs.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Programs and algorithms of numerical mathematics 18

  • ISBN

    978-80-85823-67-7

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    73-80

  • Publisher name

    Institute of Mathematics CAS

  • Place of publication

    Prague

  • Event location

    Janov nad Nisou

  • Event date

    Jun 19, 2016

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000467646600009