The MUSIC-algorithm and the factorization method in inverse scattering theory for inhomogeneous media

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Acoustic inverse scattering using topological derivative of far-field measurements-based L2 cost functionals (2013, unknown): “Use of the MUSIC algorithm to deal with inverse scattering problems [13, 14].”
Level set methods for inverse scattering (2006, methodology): “Examples, with no claim to exhaustivity of the quoted references, are the linear sampling method, the factorization method, MUSIC, the point source method, the complete family method, the ICBA, the Modified Rayleigh Conjecture, the reciprocity gap concept [9, 43, 44, 83, 84, 94, 95, 138, 7, 40, 96, ”
A survey on sampling and probe methods for inverse problems (2006, methodology): “The relation between the factorization method and the MUSIC algorithm was first addressed by Cheney in 2001 [16] and further investigated by Kirsch in 2002 [68].”
Acoustic Metamaterials: Negative Refraction, Imaging, Lensing and Cloaking (2013, methodology): “For such composites, polarization-dependent frequency band gaps were reported for bulk waves [21] and complete band gaps were reported for Lamb waves [6].”
Subspace-Based Optimization Method for Solving Inverse-Scattering Problems (2010, methodology): “Recently, a subspace-based optimization method is proposed to solve inverse-scattering problems [6], and the method is an extension of the subspace-based method targeting at pointlike scatterers ([7]–[10], the theoretical foundation of which can be found in [11] and [12]) to inversion for extended s”