Information Estimator Using Minimax Criterion for Solutions of Inverse Gravity Problem

The conception of the hidden information about sources of gravitational anomalies as joint fragment of the true model and disturbing objects has been introduced. It is shown, that in the presence of uncertainty inherent to inverse problems, the limit of possibilities of algorithms for constructing the best estimates of model parameters of sources is to maximize the guaranteed volume of hidden information. It is proved that optimal solutions of inverse problems, which realized the known conception of the minimax, have the maximum of the informativity (in this sense). Technologies of building of sufficiently representative subsets of feasible solutions, already tested on another class of inverse problems, have been offered. They have been fixed in the basis of minimax algorithms for solving inverse problems of the ore type. The examples of application of minimax algorithms of the solution of gravity inverse problems are given in the article.