We propose and study an iterative method for finding quasisolutions of nonlinear ill-posed operator equations on closed convex subsets of a Hilbert space in the presence of errors. The process under consideration combines the gradient-projection method and the projections of iterations obtained onto suitably constructed finite-dimensional subspaces. We establish that the iterations generated by our method are stabilized in a small neighborhood of the quasisolution as the iteration number increases.

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