تحسين النتائح
ترتيب حسب
من
الى
الصفحة 11
الصفحة 11
Advanced BDD Optimization
This book gives a modern presentation of the established as well as of recent concepts. Latest results in BDD optimization are given, c- ering di?erent aspects of paths in BDDs and the use of e?cient lower bounds during optimization. The presented algorithms include Branch ? and Bound and the generic A -algorithm as e?cient techniques to - plore large search spaces. ? The A -algorithm originates from Arti?cial Intelligence (AI), and the EDA community has been unaware of this concept for a long time. Re- ? cently, the A -algorithm has been introduced as a new paradigm to explore design spaces in VLSI CAD. Besides AI search techniques, the book also discusses the relation to another ?eld of activity bordered to VLSI CAD and BDD optimization: the clausal representation as a SAT problem.
Adaptive Techniques for Dynamic Processor Optimization : Theory and Practice
This book discusses the different approaches and responses to adaptive techniques used for processor power, frequency and functionality optimization. Adaptive Techniques for Dynamic Processor Optimization: Theory and Practice includes chapter contributions that explore promising approaches and present the supporting data.
Adaptive Multi-Standard RF Front-Ends
Adaptive Multi-Standard RF Front-Ends investigates solutions, benefits, limitations and costs related to multi-standard operation of RF front-ends and their adaptivity to variable radio environments. Next, it highlights the optimization of RF front-ends that allow achieving of maximal performance with a certain power budget while targeting full integration. Also, it investigates possibilities for low-voltage low-power circuit topologies in CMOS technology.
Adaptive Low-Power Circuits for Wireless Communications
Adaptive radio transceivers require a comprehensive theoretical framework in order to optimize their performance. Adaptive Low-Power Circuits for Wireless Communications provides this framework with a discussion of joint optimization of Noise Figure and Input Intercept Point in receiver systems. Original techniques to optimize voltage controlled oscillators and low-noise amplifiers to minimize their power consumption while maintaining adequate system performance are also provided. The experimental results presented at the end of the book confirm the utility of the proposed techniques.
Adaptive and Multilevel Metaheuristics
This volume presents recent advances in the area of adaptativeness in metaheuristic optimization, including up-to-date reviews of hyperheuristics and self-adaptation in evolutionary algorithms, as well as cutting edge works on adaptive, self-adaptive and multilevel metaheuristics, with application to both combinatorial and continuous optimization.
A Linear Systems Primer
Based on a streamlined presentation of the authors' successful work Linear Systems, this textbook provides an introduction to systems theory with an emphasis on control. The material presented is broad enough to give the reader a clear picture of the dynamical behavior of linear systems as well as their advantages and limitations. Fundamental results and topics essential to linear systems theory are emphasized. The emphasis is on time-invariant systems, both continuous- and discrete-time.
A First Course in Statistics for Signal Analysis
This essentially self-contained, deliberately compact, and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, explained in a concise, yet fairly rigorous presentation.
A Distributed Coordination Approach to Reconfigurable Process Control
A Distributed Coordination Approach to Reconfigurable Process Control presents research that addresses this critical question, via developing a new distributed framework that will enable the building of a process control system that is capable of reconfigurability.
A Course in Derivative Securities : Introduction to Theory and Computation
This book aims at a middle ground between the introductory books on derivative securities and those that provide advanced mathematical treatments. It is written for mathematically capable students who have not necessarily had prior exposure to probability theory, stochastic calculus, or computer programming. It provides derivations of pricing and hedging formulas (using the probabilistic change of numeraire technique) for standard options, exchange options, options on forwards and futures, quanto options, exotic options, caps, floors and swaptions, as well as VBA code implementing the formulas. It also contains an introduction to Monte Carlo, binomial models, and finite-difference methods.
A Benchmark Approach to Quantitative Finance
The general framework is used to provide an understanding of the nature of stochastic volatility. The book is intended for a wide audience that includes quantitative analysts, postgraduate students and practitioners in finance, economics and insurance. It aims to be a self-contained, accessible but mathematically rigorous introduction to quantitative finance for readers that have a reasonable mathematical or quantitative background. Finally, the book should stimulate interest in the benchmark approach by describing some of its power and wide applicability.
