10 papers analyzed
These studies suggest that mathematical modeling has applications in natural and social sciences, engineering, education, and the arts, enhancing problem-solving, decision-making, and innovation.
Mathematical modeling is a powerful tool used across various fields to represent, analyze, and predict real-world phenomena. By translating complex systems into mathematical equations, researchers and practitioners can gain insights, optimize processes, and make informed decisions. This synthesis explores the diverse applications of mathematical modeling in natural and social sciences, engineering, and beyond.
Interdisciplinary Applications:
Robotics and AI:
Biological Systems:
Engineering and Technology:
Education and Skill Development:
Computer Integration:
Decision-Making:
Mathematical modeling serves as a versatile and essential tool across multiple disciplines. Its applications range from enhancing AI in robotics to understanding complex biological systems, solving engineering problems, and improving educational outcomes. The integration with computer technologies further amplifies its utility, making it indispensable for modern scientific and practical problem-solving.
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