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"This book focuses on the different steps involved in the conception, implementation and application of EDAs that use Markov networks, and undirected models in general. It can serve as a general introduction to EDAs but covers also an important current void in the study of these algorithms by explaining the specificities and benefits of modeling optimization problems by means of undirected probabilistic models.All major developments to date in the progressive introduction of Markov networks based EDAs are reviewed in the book. Hot current research trends and future perspectives in the enhancement and applicability of EDAs are also covered. The contributions included in the book address topics as relevant as the application of probabilistic-based fitness models, the use of belief propagation algorithms in EDAs and the application of Markov network based EDAs to real-world optimization problems. "

"In this book, the mathematical background of the presented algorithms is mostlyomitted for the ease of reading, but for theoretically minded readers detailedderivations and justifications are given in the form of Problems in each chapter;their Solutions are given at the end of the volume. Also, historical notes and relatedreferences are discussed in the Supplemental Note at the end of each chapter. In thissense, this book can also serve as a theoretical reference of computer visionresearch. To help readers implement the algorithms in this book, sample codes oftypical procedures are placed on the publisher’s Web page."

"This textbook is designed for graduate-level courses, and for self-study, in analog and sampled-data, including switched-capacitor, circuit theory and design for ongoing, or active electrical engineers, needing to become proficient in analog circuit design on a system, rather than on a device, level. After decades of experience in industry and teaching this material in academic settings, the author has extracted many of the most important and useful features of analog circuit theory and design and presented them in a manner that is easy to digest and utilize. The methodology and analysis techniques presented can be applied to areas well beyond those specifically addressed in this book. This book is meant to enable readers to gain a 'general knowledge' of one aspect of analog engineering (e.g., that of network theory, filter design, system theory and sampled-data signal processing). The presentation is self-contained and should be accessible to anyone with a first degree in electrical engineering."

"This book reflects parts of my 33 years of work in the Philips NatuurkundigLaboratorium and its successor. If there is anything I would call “luck” in my life,it was the opportunity to work in this place. The creativity, energy, opportunities,and people in this laboratory are unique. It is not trivial to create such researchfreedom in a financially driven industry. My 7 years as a mixed-signal departmenthead have taught me that. Therefore, I am truly grateful to those who served in themanagement of Philips Research and backed me when working on things outsidethe project scope or looking in unusual directions, namely, Theo van Kessel, KeesWouda, Gerard Beenker, Hans Rijns, and Leo Warmerdam."