Iterative methods for minimization of the Hausdorff distance between movable polygons

The problem of minimizing the Hausdorff distance between two convex polygons is studied. The first polygon is supposed to be able to make any flat motions including parallel transportation and rotation with the center at any point. The second polygon is supposed to be fixed. Iterative algorithms of step-by-step displacements and rotations of the polygon which provide a decrease in the Hausdorff distance between the moving polygon and the fixed polygon are developed and realized in software programs. Some theorems of correctness of the algorithms are proved for a wide range of cases. Geometrical properties of the Chebyshev center of a compact set and differential properties of the function of Euclidean distance to a convex set are used. The possibility of a multiple launch is provided for in the implementation of the software complex for the purpose of identifying the best found position of the polygon. Modeling for several examples is performed.