inverse scattering;
transmission problem;
Helmholtz equation;
boundary integral equations;
recursive linearization;
FAST DIRECT SOLVER;
INTEGRAL-EQUATIONS;
OBSTACLE SCATTERING;
DIMENSIONS;
ALGORITHM;
PRECONDITIONER;
D O I:
10.1088/1361-6420/acb2ec
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
The acoustic inverse obstacle scattering problem consists of determining the shape of a domain from measurements of the scattered far field due to some set of incident fields (probes). For a penetrable object with known sound speed, this can be accomplished by treating the boundary alone as an unknown curve. Alternatively, one can treat the entire object as unknown and use a more general volumetric representation, without making use of the known sound speed. Both lead to strongly nonlinear and nonconvex optimization problems for which recursive linearization provides a useful framework for numerical analysis. After extending our shape optimization approach developed earlier for impenetrable bodies, we carry out a systematic study of both methods and compare their performance on a variety of examples. Our findings indicate that the volumetric approach is more robust, even though the number of degrees of freedom is significantly larger. We conclude with a discussion of this phenomenon and potential directions for further research.
机构:
King Abdullah Univ Sci & Technol, Ctr Uncertainty Quantificat Computat Sci & Engn, Div Comp Elect & Math Sci & Engn, Thuwal 239556900, Saudi ArabiaKing Abdullah Univ Sci & Technol, Ctr Uncertainty Quantificat Computat Sci & Engn, Div Comp Elect & Math Sci & Engn, Thuwal 239556900, Saudi Arabia
Li, Ping
Shi, Yifei
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机构:
King Abdullah Univ Sci & Technol, Ctr Uncertainty Quantificat Computat Sci & Engn, Div Comp Elect & Math Sci & Engn, Thuwal 239556900, Saudi ArabiaKing Abdullah Univ Sci & Technol, Ctr Uncertainty Quantificat Computat Sci & Engn, Div Comp Elect & Math Sci & Engn, Thuwal 239556900, Saudi Arabia
Shi, Yifei
Jiang, Li Jun
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机构:
Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong 00852, Hong Kong, Peoples R ChinaKing Abdullah Univ Sci & Technol, Ctr Uncertainty Quantificat Computat Sci & Engn, Div Comp Elect & Math Sci & Engn, Thuwal 239556900, Saudi Arabia
Jiang, Li Jun
Bagci, Hakan
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机构:
King Abdullah Univ Sci & Technol, Ctr Uncertainty Quantificat Computat Sci & Engn, Div Comp Elect & Math Sci & Engn, Thuwal 239556900, Saudi ArabiaKing Abdullah Univ Sci & Technol, Ctr Uncertainty Quantificat Computat Sci & Engn, Div Comp Elect & Math Sci & Engn, Thuwal 239556900, Saudi Arabia