We present an efficient method for the reduction of model equations in the
linearized diffuse optical tomography (DOT) problem. We first implement the maximum a
posteriori (MAP) estimator and Tikhonov regularization, which are based on applying
preconditioners to linear perturbation equations. For model reduction, the precondition is
split into two parts: the principal components are consid...
