This research reveals how constraints affect convergence of approximate solutions in integral equations with specified norms.
A linear integral equation of the first kind is considered in with an approximately specified righthand side. The desired solution satisfies the specified convex constraints. An iteration sequence is constructed, the limit of which is an approximate solution satisfying the imposed constraints. The approximate solution converges strongly to the exact solution if the error in the right-hand side of the equation tends to zero (in the norms of the corresponding Hilbert spaces). The proposed iteration process is numerically tested in a model problem for a linear integral equation of the first kind, the solution of which satisfies the linear constraints.
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Kriksin et al. (2025) studied this question.
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