Minenko R. Optimization Methods stable solutions of inverse linear problems gravimetry and magnetometry with iterative clarifying amendments (for example of problems in search of ores ).

The dissertation contains previously by scientific positions that collectively solve important scientific task of creating sustainable optimization of iterative methods of solutions of inverse linear problems (ILP) gravimetry and magnetometry with iterative formulas and criteria optimization solutions that contain complex iterative clarifying amendments and functional correction factors, and only those that provide meaningful and sustainable solutions of inverse problems when used as initial conditions corrected ways iterative process results author previous decisions of inverse linear problems other iterative methods. For the first time in the decisions of inverse linear problems for theoretical and real fields using multilayer models established causes and patterns of redistribution equivalent substance by removal of up side and a diving area or similar substances down to infinity and sideways. A method of eliminating this influence from solutions of inverse linear problems and achieve nearly real values of density and intensity of magnetization for theoretical fields and geologically meaningful values for their real gravitational and magnetic fields measured.