Home > Conference materials > Papers > On the Optimal Initial Conditions for an Inverse Problem of Model Parameter Estimation - a Complementarity Principle
Original title:
On the Optimal Initial Conditions for an Inverse Problem of Model Parameter Estimation - a Complementarity Principle
Authors:
Matonoha, Ctirad ; Papáček, Š. Document type: Papers Conference/Event: SNA´19 - Seminar on numerical analysis, Ostrava (CZ), 20190121
Year:
2019
Language:
eng Abstract:
This contribution represents an extension of our earlier studies on the paradigmatic example of the inverse problem of the diffusion parameter estimation from spatio-temporal measurements of fluorescent particle concentration, see [6, 1, 3, 4, 5]. More precisely, we continue to look for an optimal bleaching pattern used in FRAP (Fluorescence Recovery After Photobleaching), being the initial condition of the Fickian diffusion equation maximizing a sensitivity measure. As follows, we define an optimization problem and we show the special feature (so-called complementarity principle) of the optimal binary-valued initial conditions.
Keywords:
bleaching pattern; initial boundary value problem; parameter identification; sensitivity measure Project no.: CZ.1.05/2.1.00/01.0024, LO1205 (CEP), CZ.1.05/2.1.00/19.0380 Funding provider: CENAKVA, GA MŠk, CENAKVA Host item entry: SNA '19 - Seminar on numerical analysis, ISBN 978-80-86407-73-9
Institution: Institute of Computer Science AS ČR
(web)
Document availability information: Fulltext is available in the digital repository of the Academy of Sciences. Original record: http://hdl.handle.net/11104/0293163