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Computational Optimization, Modeling, and Simulation for Engineering Applications (AAP Research Notes on Optimization and Decision Making Theories) - Tapa dura
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Details trends and challenges of computational modeling, simulation, and optimization techniques and its applications in the field of engineering sciences. Presents case studies and illustrations of computational techniques on materials and manufacturing in a various applications.
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Anupam Shukla, PhD, is Director of the Indian Institute of Information Technology, Pune, India. An internationally renowned academician, researcher, and author, he was formerly affiliated with the ABV-Indian Institute of Information Technology and Management, Gwalior, India, and with NIT Raipur, where he was the founding Head of the Department of Computer Science and Engineering and Biomedical Engineering.
Sourabh Rungta, PhD, is a Lecturer/Professor at the Rungta College of Engineering & Technology, Bhilai, India. He was formerly Dean of Computer Science and Information Technology at Chhattisgarh Swami Vivekanand Technical University, Bhilai, India. He has published papers in journals and conferences and is supervising several PhD students.
Mohan Awasthy, PhD, is Principal of the G H Raisoni Institute Engineering and Technology, Nagpur, India. He has published research papers in national and international journals and conferences and has a patent filed under his name. Two ongoing PhD students are currently under his supervision.
Rakesh L. Himte, PhD, is Professor and Head of Mechanical Engineering and Dean (Internal Quality Assurance Cell), Rungta College of Engineering & Technology, Bhilai, India. He has over 22 years of teaching experience and published papers in national and international conferences and journals. He is supervising several MTech projects and PhD scholars.
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Computational Optimization, Modeling, and Simulation for Engineering Applications (AAP Research Notes on Optimization and Decision Making Theories)
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Hardcover. Condición: new. Hardcover. Modeling, simulation, and optimization are three critical components of modern design practice that have grown tremendously over the last few decades with the increased use of computer-aided designs in engineering and industry. This book takes a multidisciplinary approach to the trends and challenges of computational modeling, simulation, and optimization techniques and their applications in the field of engineering sciences. It presents practical case studies and illustrations of computational techniques on materials and manufacturing in a diverse selection of applications, such as for drug delivery systems, for refrigeration models, for polymer and aluminum metal matrix composites, for automotive and aircraft applications, and even for talent management strategies on retaining talented employees. Details trends and challenges of computational modeling, simulation, and optimization techniques and its applications in the field of engineering sciences. Presents case studies and illustrations of computational techniques on materials and manufacturing in a various applications. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781774916001
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Computational Optimization, Modeling, and Simulation for Engineering Applications (Hardcover)
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Hardcover. Condición: new. Hardcover. Modeling, simulation, and optimization are three critical components of modern design practice that have grown tremendously over the last few decades with the increased use of computer-aided designs in engineering and industry. This book takes a multidisciplinary approach to the trends and challenges of computational modeling, simulation, and optimization techniques and their applications in the field of engineering sciences. It presents practical case studies and illustrations of computational techniques on materials and manufacturing in a diverse selection of applications, such as for drug delivery systems, for refrigeration models, for polymer and aluminum metal matrix composites, for automotive and aircraft applications, and even for talent management strategies on retaining talented employees. Details trends and challenges of computational modeling, simulation, and optimization techniques and its applications in the field of engineering sciences. Presents case studies and illustrations of computational techniques on materials and manufacturing in a various applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781774916001
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Computational Optimization, Modeling, and Simulation for Engineering Applications
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ISBN 10: 1774916002
ISBN 13: 9781774916001
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