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Indigo Proceedings of the International Conference on Computational Mathematics and Applications: ICCMA 2025 | Erin Mills Town Centre
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This book showcases high-quality research articles presented in the International Conference on Computational Mathematics and Applications (ICCMA 2025) organized by the Department of Mathematics, National Institute of Technology Silchar, India, from 16 to18 January 2025. It includes modern state-of-the-art research articles from a wide range of cutting-edge topics in computational sciences and its applications in industry. Each contributing article highlights the recent advances in their respective research fields and presents valuable insights and innovative methodologies for researchers and practitioners alike. The papers in this book incorporate both advanced theory and methods for computational algebra, soft computing, data science, mathematical modelling, computational fluid dynamics, numerical optimization techniques, artificial intelligence, machine learning, etc. It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that cannot easily be solved using traditional methods.
This book showcases high-quality research articles presented in the International Conference on Computational Mathematics and Applications (ICCMA 2025) organized by the Department of Mathematics, National Institute of Technology Silchar, India, from 16 to18 January 2025. It includes modern state-of-the-art research articles from a wide range of cutting-edge topics in computational sciences and its applications in industry. Each contributing article highlights the recent advances in their respective research fields and presents valuable insights and innovative methodologies for researchers and practitioners alike. The papers in this book incorporate both advanced theory and methods for computational algebra, soft computing, data science, mathematical modelling, computational fluid dynamics, numerical optimization techniques, artificial intelligence, machine learning, etc. It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that cannot easily be solved using traditional methods.
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