EconPapers    
Economics at your fingertips  
 

Numerical Inverse Acoustic Scattering Problems

Jingzhi Li () and Hongyu Liu ()
Additional contact information
Jingzhi Li: Southern University of Science and Technology, Department of Mathematics
Hongyu Liu: City University of Hong Kong, Department of Mathematics

Chapter Chapter 3 in Numerical Methods for Inverse Scattering Problems, 2023, pp 29-103 from Springer

Abstract: Abstract We would like to point out that many numerical reconstruction methods have been developed for inverse scattering problems in various scenarios, such as the linear sampling method, factorization method, MUSIC-type methods, time reversal, topological-optimization-type methods, interior-resonance-based methods, and machine learning methods etc.; we refer the readers to [2–9, 11, 15–17, 23–25, 35–37, 41, 42, 59, 74–76, 79, 81–83, 85] and the references therein for these methods and some other related developments.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-99-3772-1_3

Ordering information: This item can be ordered from
http://www.springer.com/9789819937721

DOI: 10.1007/978-981-99-3772-1_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-11-30
Handle: RePEc:spr:sprchp:978-981-99-3772-1_3