Abstract:
In this paper we consider the solution of inverse problems on a «discretization — optimization». Considering
the direct problem in discrete form, we calculate the functional gradient in a discrete form, using the formula
for summation by parts, we obtain the formulation of the conjugate problem in discrete form. Construct an algorithm
for solving the inverse problem. Numerically solve the inverse problem. And also performed numerical
calculations for the solution of inverse problems.