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Mathematical Modeling and Computational Methods in Emerging Engineering Applications: A Study
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Author(s): Balveer Saini (Department of Mathematics, Maharani Shri Jaya Govt PG College, Bharatpur, India), S. B. Javheri (Department of Civil Engineering, Walchand Institute of Technology, Solapur, India), P. Sasikala (Department of Computer Science, Lal Bahadur Shastri Government First Grade College, Bangaluru, India), Saurabh Chandra (School of Law, Bennett University, Greater Noida, India)and Keshav Kumar K. (Department of Humanities and Mathematics, G. Narayanamma Institute of Technology and Science (for Women), Hyderabad, India)
Copyright: 2025
Pages: 26
Source title:
Using Computational Intelligence for Sustainable Manufacturing of Advanced Materials
Source Author(s)/Editor(s): Kamalakanta Muduli (Papua New Guinea University of Technology, Papua New Guinea), Bikash Ranjan Moharana (Papua New Guinea University of Technology, Papua New Guinea), Steve Korakan Ales (Papua New Guinea University of Technology, Papua New Guinea)and Dillip Kumar Biswal (Aryan Institute of Engineering and Technology, Bhubaneswar, India)
DOI: 10.4018/979-8-3693-7974-5.ch015
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Abstract
Mathematical modeling and computational methods are the critical techniques necessary to meet such complex challenges in the scope of a broad range of emerging engineering fields. This chapter emphasizes how these techniques might be dovetailed for applications of handling real problems within renewable energy, biomedical engineering, autonomous systems, and smart infrastructure. Powerful algorithms, numerical methods, and data-driven models may be used to simulate, predict, and even optimize system behavior under various conditions. The synergy between mathematical theories and computational tools is highlighted: artificial intelligence, machine learning, and high-performance computing, which improve design efficiency and bring innovation. A set of practical benefits presented in case studies of modern engineering applications benefits from these approaches. The chapter puts theories together with practice in giving an all-round overview of how computational methods drive advancement in engineering.
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