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In the context of nonlinear inverse problems,we present an efficient way to construct the linear subproblems of a Gauss-Newtonian iteration.The method is based on solving the forward problem in a high-dimensional parameter domain by using spectral methods,resulting in a numerical solution that depends explicitly on the parameters.As an example we study the inverse boundary value problem of a parabolic partial differential equation.