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Enhanced multilevel linear sampling methods for inverse ...
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由 J Li 著作2014被引用 45 次 — We develop two enhanced techniques for the multilevel linear sampling method (MLSM) proposed in [32] for inverse scattering problems.
Enhanced multilevel linear sampling methods for inverse ...
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2014年1月15日 — We develop two enhanced techniques for the multilevel linear sampling method (MLSM) proposed in [32] for inverse scattering problems.
Enhanced multilevel linear sampling methods for inverse scattering ...
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We develop two enhanced techniques for the multilevel linear sampling method (MLSM) proposed in 32] for inverse scattering problems.
Enhanced multilevel linear sampling methods for inverse ...
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We develop two enhanced techniques for the multilevel linear sampling method (MLSM) proposed in [32] for inverse scattering problems.
Multilevel Linear Sampling Method for Inverse Scattering ...
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A novel multilevel algorithm is presented for implementing the widely used linear sampling method in inverse obstacle scattering problems. The new method is ...
Enhanced multilevel linear sampling methods for inverse ...
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We develop two enhanced techniques for the multilevel linear sampling method (MLSM) proposed in [32] for inverse scattering problems.
Enhanced multilevel linear sampling methods for inverse ...
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Jingzhi Li, Hongyu Liu , Qi Wang: Enhanced multilevel linear sampling methods for inverse scattering problems. J. Comput. Phys. 257: 554-571 (2014).
Copyright © by SIAM. Unauthorized reproduction of this article ...
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由 J LI 著作被引用 59 次 — Abstract. A novel multilevel algorithm is presented for implementing the widely used linear sampling method in inverse obstacle scattering problems.
Miscellaneous Topics
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由 J Li 著作2023被引用 1 次 — Inverse acoustic obstacle scattering problem is considered as a model problem for the development of the two enhanced multilevel linear sampling methods. On the ...
46 頁
Modified linear sampling method for inverse scattering by a ...
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Then, based on a modification of the general data-to-pattern operator G , we propose a novel and simple method to justify the modified linear sampling method.