An inverse problem for equations for acoustic-wave attenuation is solv
ed by the optimization method. To increase the precision and efficienc
y of solution, an adaptive algorithm with the variable number of param
eters is proposed. Three adaptive methods of minimization - gradient m
ethod, conjugate-gradient method, and Newton's method - are compared b
y efficiency. It is demonstrated that the adaptive algorithm significa
ntly increases the convergence of these methods. The increase is irreg
ular and most pronounced for a conjugate-gradient method. This method
is more efficient than the other two. On average, the adaptive variant
requires 2-4 times less calculations than the nonadaptive one. The ad
aptive algorithm increases the precision of environmental parameters f
or any of the above three minimization methods.