ENHANCING THE EFFECTIVENESS OF TEACHING METHODOLOGY FOR ELLIPTIC DIFFERENTIAL EQUATION SOLUTIONS BASED ON ARTIFICIAL INTELLIGENCE
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Abstract
This article analyzes the methodology of teaching solutions of elliptic differential equations using artificial intelligence technologies. Traditional analytical methods are complex and time-consuming, whereas AI approaches enable approximate solution calculation, visualization, and enhanced interactivity. The paper presents mechanisms for approximate solution finding using neural networks, pedagogical integration pathways, and a theoretical analysis of methodological effectiveness.
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References
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