Mathematical modeling of economic processes

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Key Points

Economic modeling leverages mathematical techniques for precision and efficiency, and explores discrete-continuous models in a comprehensive framework.
Key methods include the least-squares technique and iterative gradient procedures for achieving optimal parameters effectively.
The focus on functionals as goal functions enriches the application of machine learning in modeling economic processes and enhances predictive capability.
These advanced methods may enable more accurate modeling of complex economic systems, indicating potential implications for economic forecasting.

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Analysis utilizes iterative gradient procedures and least-squares methods to optimize parameters in economic modeling.

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Pokutnyi et al. (2025) studied this question.

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