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US$ 133.89
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Advanced Techniques for Optimal Sizing of Analog Integrated Circuits : Quantum Computing, Machine Learning and Bio-inspired Optimization
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Advanced Techniques for Optimal Sizing of Analog Integrated Circuits: Quantum Computing, Machine Learning, and Bio-inspired Optimization
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Advanced Techniques for Optimal Sizing of Analog Integrated Circuits
Language: English
Published by John Wiley and Sons Inc, US, 2025
ISBN 10: 1394296231 ISBN 13: 9781394296231
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. A novel and authoritative approach to quantum machine learning in integrated circuits design optimization In Advanced Techniques for Optimal Sizing of Analog Integrated Circuits, a team of distinguished researchers deliver a comprehensive discussion of the theory, models, methodologies, practical implementation, and utilization of integrated circuit (IC) design. The authors explain IC design optimization, demonstrating cost-effective and time-saving design approaches, as well as techniques likely to be impactful in the near future. The book covers major topics in the field, describing key concepts, recent advances, effective algorithms, and pressing challenges associated with analog circuit sizing optimization. It discusses using both animal and human-inspired optimization algorithms to create basic and quantum machine learning methods. Readers will also find: A novel approach to quantum machine learning in integrated circuit design optimization A range of introductory and advanced topics suitable for students, advanced professionals, and researchers Detailed illustrations that clarify abstract, complicated engineering concepts Complete treatments of animal behavior-inspired optimization algorithms, including particle swarm optimization, firefly algorithm, cuckoo search, and bat algorithm Perfect for researchers in engineering, computer scientists, professors, and senior undergraduate and graduate students in integrated circuit design, this book will also benefit students of machine learning, computer science, quantum computing, and optimization.
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Advanced Techniques for Optimal Sizing of Analog Integrated Circuits : Quantum Computing, Machine Learning and Bio-inspired Optimization
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 144.55
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Add to basketHardcover. Condition: Brand New. In Stock.
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Advanced Techniques for Optimal Sizing of Analog Integrated Circuits
Language: English
Published by John Wiley and Sons Inc, US, 2025
ISBN 10: 1394296231 ISBN 13: 9781394296231
US$ 152.10
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Add to basketHardback. Condition: New. A novel and authoritative approach to quantum machine learning in integrated circuits design optimization In Advanced Techniques for Optimal Sizing of Analog Integrated Circuits, a team of distinguished researchers deliver a comprehensive discussion of the theory, models, methodologies, practical implementation, and utilization of integrated circuit (IC) design. The authors explain IC design optimization, demonstrating cost-effective and time-saving design approaches, as well as techniques likely to be impactful in the near future. The book covers major topics in the field, describing key concepts, recent advances, effective algorithms, and pressing challenges associated with analog circuit sizing optimization. It discusses using both animal and human-inspired optimization algorithms to create basic and quantum machine learning methods. Readers will also find: A novel approach to quantum machine learning in integrated circuit design optimization A range of introductory and advanced topics suitable for students, advanced professionals, and researchers Detailed illustrations that clarify abstract, complicated engineering concepts Complete treatments of animal behavior-inspired optimization algorithms, including particle swarm optimization, firefly algorithm, cuckoo search, and bat algorithm Perfect for researchers in engineering, computer scientists, professors, and senior undergraduate and graduate students in integrated circuit design, this book will also benefit students of machine learning, computer science, quantum computing, and optimization.
