Novel Algorithms for Fast Statistical Analysis of Scaled Circuits, Amith Singhee; Rob A. Rutenbar
Автор: Amith Singhee; Rob A. Rutenbar Название: Novel Algorithms for Fast Statistical Analysis of Scaled Circuits ISBN: 9400736878 ISBN-13(EAN): 9789400736870 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents novel solutions to problems of efficient statistical analysis of circuits in the nanometer regime. It draws on theories from a wide variety of scientific fields and applies them to parallel problems in numerous other fields.
Описание: This book covers a broad range of topics related to SRAM design and testing. It includes everything from SRAM operation basics through cell electrical and physical design to process-aware and economical approach to SRAM testing.
Автор: Christopher Michael; Mohammed Ismail Название: Statistical Modeling for Computer-Aided Design of MOS VLSI Circuits ISBN: 079239299X ISBN-13(EAN): 9780792392996 Издательство: Springer Рейтинг: Цена: 20956.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describes a statistical circuit simulation and optimization environment for VLSI circuit designers. This text also describes a CAD tool which accurately models and simulates the effect of device and circuit characteristics in both intra- and inter-die process variabiliy on analog/digital circuits.
Автор: Ashish Srivastava; Dennis Sylvester; David Blaauw Название: Statistical Analysis and Optimization for VLSI: Timing and Power ISBN: 1441938273 ISBN-13(EAN): 9781441938275 Издательство: Springer Рейтинг: Цена: 19589.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Comprises a valuable reference for statistical analysis and optimization techniques in current and future VLSI design for CAD-Tool developers and for researchers interested in starting work in this very active area of research.
Название: Advances in Computational Algorithms and Data Analysis ISBN: 9048180279 ISBN-13(EAN): 9789048180271 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text is a compendium of revised and extended articles written for the international conference on Advances in Computational Algorithms and Data Analysis. It presents state-of-the-art advances in the field through discussion of various topics.
Автор: Roberto Tempo; Giuseppe Calafiore; Fabrizio Dabben Название: Randomized Algorithms for Analysis and Control of Uncertain Systems ISBN: 1849968829 ISBN-13(EAN): 9781849968829 Издательство: Springer Рейтинг: Цена: 8378.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The presence of uncertainty in a system description has always been a critical issue in control. Moving on from earlier stochastic and robust control paradigms, the main objective of this book is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of uncertain systems. Using so-called "randomized algorithms," this emerging area of research guarantees a reduction in the computational complexity of classical robust control algorithms and in the conservativeness of methods like H-infinity control.
Features:
- self-contained treatment explaining randomized algorithms from their genesis in the principles of probability theory to their use for robust analysis and controller synthesis;
- comprehensive treatment of sample generation, including consideration of the difficulties involved in obtaining independent and identically distributed samples;
- applications of randomized algorithms in congestion control of high-speed communications networks and the stability of quantized sampled-data systems.
Randomized Algorithms for Analysis and Control of Uncertain Systems will be of certain interest to control theorists concerned with robust and optimal control techniques and to all control engineers dealing with system uncertainties.
The present book is a very timely contribution to the literature. I have no hesitation in asserting that it will remain a widely cited reference work for many years.
M. Vidyasagar
Автор: Roberto Tempo; Giuseppe Calafiore; Fabrizio Dabben Название: Randomized Algorithms for Analysis and Control of Uncertain Systems ISBN: 1447146093 ISBN-13(EAN): 9781447146094 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces readers to the fundamentals of probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. It provides tools for dealing with uncertainty in control systems.
Автор: Luciano Lavagno; Alberto L. Sangiovanni-Vincentell Название: Algorithms for Synthesis and Testing of Asynchronous Circuits ISBN: 1461364108 ISBN-13(EAN): 9781461364108 Издательство: Springer Рейтинг: Цена: 30745.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is intended for asynchronous hardware designers, for computer-aided tool experts, and for digital designers interested in ex- ploring the possibility of designing asynchronous circuits.
Название: Advances in Computational Algorithms and Data Analysis ISBN: 140208918X ISBN-13(EAN): 9781402089183 Издательство: Springer Рейтинг: Цена: 27251.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis. The volume serves as an excellent reference work for researchers and graduate students working on computational algorithms and data analysis.
Автор: Roberto Tempo; Giuseppe Calafiore; Fabrizio Dabben Название: Randomized Algorithms for Analysis and Control of Uncertain Systems ISBN: 1447161408 ISBN-13(EAN): 9781447161400 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces readers to the fundamentals of probabilistic methods in the analysis and design of systems subject to deterministic and stochastic uncertainty. It provides tools for dealing with uncertainty in control systems.
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