Abstract:
The algorithms for solving the inverse source problem for the production–destruction type systems of nonlinear ordinary differential equations with measurement data in the form of time series are presented. The sensitivity operator and its discrete analogue on the basis of adjoint equations are constructed. This operator binds the perturbations in the unknown parameters of the model to those of the measured values. The operator allows one to construct a family of quasi-linear operator equations linking the required unknown parameters and the data of the inverse problem. The Newton–Kantorovich type method with right-hand side $r$-pseudoinverse matrices is used to solve the equations. The algorithm is applied to solving the inverse source problem for the atmospheric impurities transformation model.
Key words:inverse source problem, big data, Newton–Kantorovich method, adjoint equations, sensitivity operator, $r$-pseudoinverse matrix, right inverse.
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