Optimization Simulation System of University Science Education Based on Finite Differential Equations

Abstract

The scientific optimization of university education requires state financial support. This paper designs a model for optimizing financial education expenditure and university education based on finite differential equations. This paper comprehensively uses finite element analysis, differential equations, and other methods for robustness analysis. This can eliminate the effect of outliers in the financial expenditure of university education and the endogeneity problems caused by population mobility. At the same time, this paper makes a rigorous demonstration of the stability of the model by using the combination of numbers and shapes. Finally, this paper obtains a conclusion that is consistent with the strength of the educational innovation system.

Üniversitelerde Optimal Beşeri Sermaye ve Toplam Faktör Verimliliği Simülasyonları

“…Similarly, Barlas & Diker (2000) undertakes simulations for university-related variables involving teaching and research, but they do not explore the issue of the optimal levels of the underlying capital and total productivity variables in a dynamic-stochastic framework as we analyze in this paper. In some limited contexts, however, the issue of optimization for some university-specific processes has received some attention in the literature (Ma, 2022, Flood, 1985. Finding the optimal values of decision variables that enable the universities to achieve the objectives they set out to pursue in a dynamic-stochastic framework, as exemplified in this paper, could be considered a worthwhile contribution to the theory and practice of university management.…”