Constraining Designs for Synthesis and Timing Analysis, Sridhar Gangadharan; Sanjay Churiwala
Автор: Gangadharan Название: Constraining Designs for Synthesis and Timing Analysis ISBN: 1461432685 ISBN-13(EAN): 9781461432685 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This guide to timing constraints in integrated circuit design shows how to maximize performance of IC designs by specifying timing requirements correctly. Coverage includes such design aspects as synthesis, static timing analysis and placement and routing.
Описание: This book introduces readers to a variety of tools for automatic analog integrated circuit (IC) sizing and optimization. The authors provide a historical perspective on the early methods proposed to tackle automatic analog circuit sizing, with emphasis on the methodologies to size and optimize the circuit, and on the methodologies to estimate the circuit’s performance. The discussion also includes robust circuit design and optimization and the most recent advances in layout-aware analog sizing approaches. The authors describe a methodology for an automatic flow for analog IC design, including details of the inputs and interfaces, multi-objective optimization techniques, and the enhancements made in the base implementation by using machine leaning techniques. The Gradient model is discussed in detail, along with the methods to include layout effects in the circuit sizing. The concepts and algorithms of all the modules are thoroughly described, enabling readers to reproduce the methodologies, improve the quality of their designs, or use them as starting point for a new tool. An extensive set of application examples is included to demonstrate the capabilities and features of the methodologies described.
Описание: Thisbook systematically presents energy-efficient robust fusion estimation methodsto achieve thorough and comprehensive results in the context of network-basedfusion estimation. It summarizes recent findings on fusion estimation withcommunication constraints; several novel energy-efficient and robust designmethods for dealing with energy constraints and network-induced uncertaintiesare presented, such as delays, packet losses, and asynchronous information...All the results are presented as algorithms, which are convenient for practicalapplications.
Описание: Analog circuit design is often the bottleneck when designing mixed analog-digital systems. This work presents a methodology based on a top-down, constraint-driven design paradigm that provides a solution to this problem. It also presents the design methodology along with foundation material. It describes supporting concepts for the methodology.
Описание: The tenth Portuguese Conference on Arti?cial Intelligence, EPIA 2001 was held in Porto and continued the tradition of previous conferences in the series. The conference was organized, as usual, under the auspices of the Portuguese Association for Arti?cial Intelligence (APPIA, http://www.appia.pt).
Описание: Focusing on groundbreaking interpolating control methods that are computationally simpler than model predictive control, particularly for high-order systems, this text includes a wealth of worked examples and a collection of adaptable MATLAB (R) script files.
Описание: Analog circuit design is often the bottleneck when designing mixed analog-digital systems. The principal goals are: (1) developing the design methodology, (2) developing and applying new tools, and (3) `proving` the methodology by undertaking `industrial strength` design examples.
Описание: This book is devoted to Large Scale Systems methodologies including decomposition, aggregation, and model reduction techniques. Graduate students concerned with system and control theory will be interested in this book, since it offers a global synthesis on the problem of structurally constrained control.
Описание: This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time. It presents a novel model-based reinforcement learning algorithm.
Описание: This book presents and develops new reinforcement learning methods that enable fast and robust learning on robots in real-time. It presents a novel model-based reinforcement learning algorithm.
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