The authors study Tikhonov regularization of the nonlinear ill-posed problem
, where F is a continuous weakly closed operator between Hilbert spaces X and Y. They show that the Tikhonov regularization is a stable method and give conditions to guarantee the convergence rate
for the regularized solution where
is the noise level of the data
. The paper is illustrated by several examples including parameter estimation problems in one-dimensional case.