Dimensional method for solving inverse optical problems

Inverse optical problems are considered as a problem of point convergence from different convex sets characterizing the solution properties. If some functional is chosen as a measure of convergence, then any of its minimizing sequences determines the solution of an inverse problem, We consider in detail coordinate-by-coordinate descent to the functional minimum which leads to projection methods of the inverse problem solution.