Наука и технология в современном миреМирзаева Ширин Нодировна, Тахиров Чингиз Аъзамович +22026
SOLVING MATHEMATICAL PROBLEMS USING EULER'S METHOD WITH ARTIFICIAL INTELLIGENCE
Kaynarov Fazliddin Zarif o’g’li
Современное образование и развитие · 385-392 · 2025
Аннотация
Euler's method is a fundamental numerical technique used for solving ordinary differential equations (ODEs), often applied in various scientific and engineering fields. Despite its simplicity, Euler's method can suffer from limitations in accuracy and stability, especially when dealing with complex or stiff differential equations. This paper explores the integration of Artificial Intelligence (AI) with Euler's method to enhance its performance. By leveraging machine learning models such as supervised learning, deep learning, and reinforcement learning, the step size, error prediction, and solution refinement can be dynamically optimized. AI techniques can also be used to adjust parameters and predict corrections, improving the overall accuracy and efficiency of solving mathematical problems. This fusion of AI and Euler’s method provides a promising approach to handling challenging differential equations with greater precision and reduced computational cost.
Доказательный фрагмент
«Euler's method is a fundamental numerical technique used for solving ordinary differential equations (ODEs), often applied in various scientific and engineering fields.»
Образец извлечения
Демо-превьюEuler's method is a fundamental numerical technique used for solving ordinary differential equations (ODEs), often applied in various scientific and engineering fields. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.
- Цитирований
- 0
- Тип
- Журнал
- Страна
- Узбекистан
- Ключевые слова
- Euler's Method, Artificial Intelligence, Machine Learning, Differential Equations, Numerical Methods, Step Size Optimization, Error Prediction, Deep Learning, Computational Mathematics, Solution Refinement
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