Mathematics / Matematik

Permanent URI for this collectionhttps://hdl.handle.net/11147/8

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Institution Author: search.filters.institutionAuthor.Yaman, Olha IvanyshynSubject: search.filters.subject.Boundary integral equations

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Now showing 1 - 2 of 2
  • Article
    Citation - WoS: 3
    Citation - Scopus: 3
    Reconstruction of Generalized Impedance Functions for 3d Acoustic Scattering
    (Academic Press Inc., 2019) Ivanyshyn Yaman, Olha; Ivanyshyn Yaman, Olha; 04.02. Department of Mathematics; 04. Faculty of Science; 01. Izmir Institute of Technology
    We consider the inverse obstacle scattering problem of determining both of the surface impedance functions from far field measurements for a few incident plane waves at a fixed frequency. The reconstruction algorithm we propose is based on an iteratively regularized Newton-type method and nonlinear integral equations. The mathematical foundation of the method is presented and the feasibility is illustrated by numerical examples. (C) 2019 Elsevier Inc. All rights reserved.
  • Article
    Citation - WoS: 3
    On the Non-Linear Integral Equation Approaches for the Boundary Reconstruction in Double-Connected Planar Domains
    (Ivan Franko National University of Lviv,, 2016) Chapko, R. S.; Ivanyshyn Yaman, Olha; Kanafotskyi, T. S.; 04.02. Department of Mathematics; 04. Faculty of Science; 01. Izmir Institute of Technology
    We consider the reconstruction of an interior curve from the given Cauchy data of a harmonic function on the exterior boundary of the planar domain. With the help of Green's function and potential theory the non-linear boundary reconstruction problem is reduced to the system of non-linear boundary integral equations. The three iterative algorithms are developed for its numerical solution. We find the Frechet derivatives for the corresponding operators and show unique solviability of the linearized systems. Full discretization of the systems is realized by a trigonometric quadrature method. Due to the inherited ill-possedness in the obtained system of linear equations we apply the Tikhonov regularization. The numerical results show that the proposed methods give a good accuracy of reconstructions with an economical computational cost.