AGCM was developed for Coefficient Inverse Problems (CIPs) for the hyperbolic equation c (x) u tt = ∆u, x ∈ R n , n = 1, 2, 3 with single measurement data, see, e.g. papers [7,8,9,20,24,25,23] about this method; a summary of results is given in the book [6]. "Single measurement" means that the **data** are generated either by a single point source or by a single direction of the incident plane wave. Thus, single measurement means the minimal amount of available information. In particular, the performance of AGCM was verified on 3-d experimental **data** in [8,6,20]. All known numerical methods for n−d, n > 1 CIPs with single measurement **data** require a priori knowledge of a point in a small neighborhood of the exact coefficient. Unlike this, the key advantage of AGCM is that it delivers good approximations for exact solutions of CIPs without any advanced knowledge about small neighborhoods of those solutions. It is well known that this goal is an enormously challenging one.