Vinay Ramanath – författare
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2 produkter
2 produkter
Häftad, Engelska, 2026
2 393 kr
Skickas inom 10-15 vardagar
This book presents select proceedings of the 7th National Conference on Multidisciplinary Design, Analysis, and Optimization (NCMDAO-7) and the 1st International Conference on Multidisciplinary Design, Analysis, and Optimization (iNCMDAO) held at Indian Institute of Science, Bengaluru (IISc) between December 16 and 18, 2024. The conference was organized by the Department of Mechanical Engineering, IISc in collaboration with the Design division of the Aeronautical Society of India (AeSI). This conference was the seventh in an annually planned event to create a platform for researchers in academia, government labs, and industry professionals working in the area of multidisciplinary design, analysis and optimization to share their current work. This year the conference went international with international speakers and participants. The papers covered topics ranging from size, topology optimization to impact of AI/ML on optimization algorithms, transfer learning, and other emerging topics. This book is a valuable resource for students, practicing engineers, researchers, and academicians.
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This book presents select proceedings of the 7th National Conference on Multidisciplinary Design, Analysis, and Optimization (NCMDAO-7) and the 1st International Conference on Multidisciplinary Design, Analysis, and Optimization (iNCMDAO) held at Indian Institute of Science, Bengaluru (IISc) between December 16 and 18, 2024. The conference was organized by the Department of Mechanical Engineering, IISc in collaboration with the Design division of the Aeronautical Society of India (AeSI). This conference was the seventh in an annually planned event to create a platform for researchers in academia, government labs, and industry professionals working in the area of multidisciplinary design, analysis and optimization to share their current work. This year the conference went international with international speakers and participants. The papers covered topics ranging from size, topology optimization to impact of AI/ML on optimization algorithms, transfer learning, and other emerging topics. This book is a valuable resource for students, practicing engineers, researchers, and academicians.