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020 a| 9781394296231q| cloth;

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245 10 a| Advanced techniques for optimal sizing of analog integrated circuitsh| [electronic resource] :b| quantum computing, machine learning, and bio-inspired optimization /c| Trang Hoang [and six others].;

250 a| First edition.;

260 a| Hoboken, New Jersey :b| Wiley,c| [2026];

263 a| 2602;

300 a| pages cm;

334 a| single unitb| mono0| http://id.loc.gov/vocabulary/issuance/mono;

353 a| bibliographyb| bibliography0| http://id.loc.gov/vocabulary/msupplcont/bibliography;

353 a| indexb| index0| http://id.loc.gov/vocabulary/msupplcont/index;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

650 0 a| Quantum computing0| http://id.loc.gov/authorities/subjects/sh2014002839=| ^A1318466;

520 a| "The aim of this book is to provide readers with a comprehensive insight into the theory, models, methodologies, practical implementation, and utilization of integrated circuit (IC) design alongside its advanced optimization techniques. Tailored for both undergraduate and postgraduate students, as well as researchers and engineers specializing in IC design, it aims to serve as a valuable resource to delve deeper into IC design optimization, with a view to a cost-effective and time-saving design approach in the future. Covering the major topics in the field, presenting the key concepts, recent progress, effective algorithms, and pressing challenges associated with analog circuit sizing optimization, it uniquely uses both animal and human-behavior-inspired optimization algorithms to demonstrate basic, and quantum, machine learning methods. Written by a group of world leading experts in the field of quantum computing, machine learning, optimization and IC design, the book represents the work of a leading expert in the field of quantum optimization and quantum machine learning; one of the pioneers in IC proposing novel and advanced techniques such as human-behavior-inspired, and animal-behavior-inspired machine learning; a world-leading expert in very-large-scale-integration (VLSI) design automation, analog and mixed-signal integrated circuit design; a pioneer in the field of machine learning and optimal resource allocations for networks with mathematical analysis expertise; and three experienced engineers actively working on analog IC design"-- Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Analog integrated circuits0| http://id.loc.gov/authorities/subjects/sh2013002794=| ^A1288971;

650 0 a| Integrated circuitsx| Design and construction0| http://id.loc.gov/authorities/subjects/sh85067118=| ^A164350;

650 0 a| Integrated circuit layout0| http://id.loc.gov/authorities/subjects/sh2001008431=| ^A871592;

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Advanced techniques for optimal sizing of analog integrated circuits quantum computing, machine learning, and bio-inspired optimization / Trang Hoang [and six others].

Author/creator	Hoang, Trang, 1979
Format	Electronic
Edition	First edition.
Publication Info	Hoboken, New Jersey : Wiley, [2026]
Description	pages cm
Supplemental Content	Full text available from eBooks on EBSCOhost
Subjects	Quantum computing Analog integrated circuits Integrated circuits--Design and construction. Integrated circuit layout

Abstract	"The aim of this book is to provide readers with a comprehensive insight into the theory, models, methodologies, practical implementation, and utilization of integrated circuit (IC) design alongside its advanced optimization techniques. Tailored for both undergraduate and postgraduate students, as well as researchers and engineers specializing in IC design, it aims to serve as a valuable resource to delve deeper into IC design optimization, with a view to a cost-effective and time-saving design approach in the future. Covering the major topics in the field, presenting the key concepts, recent progress, effective algorithms, and pressing challenges associated with analog circuit sizing optimization, it uniquely uses both animal and human-behavior-inspired optimization algorithms to demonstrate basic, and quantum, machine learning methods. Written by a group of world leading experts in the field of quantum computing, machine learning, optimization and IC design, the book represents the work of a leading expert in the field of quantum optimization and quantum machine learning; one of the pioneers in IC proposing novel and advanced techniques such as human-behavior-inspired, and animal-behavior-inspired machine learning; a world-leading expert in very-large-scale-integration (VLSI) design automation, analog and mixed-signal integrated circuit design; a pioneer in the field of machine learning and optimal resource allocations for networks with mathematical analysis expertise; and three experienced engineers actively working on analog IC design"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2025046951
ISBN	9781394296231 cloth
ISBN	adobe pdf
ISBN	epub

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Advanced techniques for optimal sizing of analog integrated circuits quantum computing, machine learning, and bio-inspired optimization / Trang Hoang [and six others].

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