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Book Symbolic Network Analysis

Download or read book Symbolic Network Analysis written by Pen-Min Lin and published by . This book was released on 1991 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Symbolic Analysis of Analog Circuits  Techniques and Applications

Download or read book Symbolic Analysis of Analog Circuits Techniques and Applications written by Lawrence P. Huelsman and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together important contributions and state-of-the-art research results in the rapidly advancing area of symbolic analysis of analog circuits. It is also of interest to those working in analog CAD. The book is an excellent reference, providing insights into some of the most important issues in the symbolic analysis of analog circuits.

Book A New Algorithm for Symbolic Network Analysis

Download or read book A New Algorithm for Symbolic Network Analysis written by John Tsai-Chiang Chow and published by . This book was released on 1983 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Circuit Analysis and Feedback Amplifier Theory

Download or read book Circuit Analysis and Feedback Amplifier Theory written by Wai-Kai Chen and published by CRC Press. This book was released on 2018-10-03 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Culled from the pages of CRC's highly successful, best-selling The Circuits and Filters Handbook, Second Edition, Circuit Analysis and Feedback Amplifier Theory presents a sharply focused, comprehensive review of the fundamental theory behind professional applications of circuits and feedback amplifiers. It supplies a concise, convenient reference to the key concepts, models, and equations necessary to analyze, design, and predict the behavior of large-scale circuits and feedback amplifiers, illustrated by frequent examples. Edited by a distinguished authority, this book emphasizes the theoretical concepts underlying the processes, behavior, and operation of these devices. It includes guidance on the design of multiple-loop feedback amplifiers. More than 350 figures and tables illustrate the concepts, and where necessary, the theories, principles, and mathematics of some subjects are reviewed. Expert contributors discuss analysis in the time and frequency domains, symbolic analysis, state-variable techniques, feedback amplifier configurations, general feedback theory, and network functions and feedback, among many other topics. Circuit Analysis and Feedback Amplifier Theory builds a strong theoretical foundation for the design and analysis of advanced circuits and feedback amplifiers while serving as a handy reference for experienced engineers, making it a must-have for both beginners and seasoned experts.

Book Design of Analog Circuits Through Symbolic Analysis

Download or read book Design of Analog Circuits Through Symbolic Analysis written by Mourad Fakhfakh and published by Bentham Science Publishers. This book was released on 2012-08-13 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Symbolic analyzers have the potential to offer knowledge to sophomores as well as practitioners of analog circuit design. Actually, they are an essential complement to numerical simulators, since they provide insight into circuit behavior which numerical "

Book Advances in Data Science

Download or read book Advances in Data Science written by Edwin Diday and published by John Wiley & Sons. This book was released on 2020-02-05 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science unifies statistics, data analysis and machine learning to achieve a better understanding of the masses of data which are produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional) are increasingly frequent in data science. These data require specific methodologies, but there is a lack of reference work in this field. Advances in Data Science fills this gap. It presents a collection of up-to-date contributions by eminent scholars following two international workshops held in Beijing and Paris. The 10 chapters are organized into four parts: Symbolic Data, Complex Data, Network Data and Clustering. They include fundamental contributions, as well as applications to several domains, including business and the social sciences.

Book Symbolic Analysis in Analog Integrated Circuit Design

Download or read book Symbolic Analysis in Analog Integrated Circuit Design written by Henrik Floberg and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Symbolic Analysis in Analog Integrated Circuit Design provides an introduction to computer-aided circuit analysis and presents systematic methods for solving linear (i.e. small-signal) and nonlinear circuit problems, which are illustrated by concrete examples. Computer-aided symbolic circuit analysis is useful in analog integrated circuit design. Analytic expressions for the network transfer functions contain information that is not provided by a numerical simulation result. However, these expressions are generally extremely long and difficult to interpret; therefore, it is necessary to be able to approximate them guided by the magnitude of the individual circuit parameters. Engineering has been described as `the art of making approximations'. The inclusion of symbolic analysis in analog circuit design reduces the implied risk of ambiguity during the approximation process. A systematic method based on the nullor concept is used to obtain the basic feedback transistor amplifier configurations. Approximate expressions for the locations of poles and zeros for linear networks are obtained using the extended pole-splitting technique. An unusual feature in Symbolic Analysis in Analog Integrated Circuit Design is the consistent use of the transadmittance element with finite (linear or nonlinear) or infinite (i.e. nullor) gain as the only requisite circuit element. The describing function method is used to obtain approximate symbolic expressions for the harmonic distortion generated by a soft or hard transconductance nonlinearity embedded in an arbitrary linear network. The design and implementation of a program (i.e. CASCA) for symbolic analysis of time-continuous networks is described. The algorithms can also be used to solve other linear problems, e.g. the analysis of time-discrete switched-capacitor networks. Symbolic Analysis in Analog Integrated Circuit Design serves as an excellent resource for students and researchers as well as for industry designers who want to familiarize themselves with circuit analysis. This book may also be used for advanced courses on the subject.

Book Symbolic Circuit Analysis Techniques

Download or read book Symbolic Circuit Analysis Techniques written by Georges Gielen and published by . This book was released on 1998 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Circuits and Filters Handbook

Download or read book The Circuits and Filters Handbook written by Wai-Kai Chen and published by CRC Press. This book was released on 2002-12-23 with total page 3076 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bestseller in its first edition, The Circuits and Filters Handbook has been thoroughly updated to provide the most current, most comprehensive information available in both the classical and emerging fields of circuits and filters, both analog and digital. This edition contains 29 new chapters, with significant additions in the areas of computer-

Book Symbolic Analysis and Reduction of VLSI Circuits

Download or read book Symbolic Analysis and Reduction of VLSI Circuits written by Zhanhai Qin and published by Springer Science & Business Media. This book was released on 2009-03-13 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Symbolic analysis is an intriguing topic in VLSI designs. The analysis methods are crucial for the applications to the parasitic reduction and analog circuit evaluation. However, analyzing circuits symbolically remains a challenging research issue. Therefore, in this book, we survey the recent results as the progress of on-going works rather than as the solution of the field. For parasitic reduction, we approximate a huge amount of electrical parameters into a simplified RLC network. This reduction allows us to handle very large integrated circuits with given memory capacity and CPU time. A symbolic analysis approach reduces the circuit according to the network topology. Thus, the designer can maintain the meaning of the original network and perform the analysis hierarchically. For analog circuit designs, symbolic analysis provides the relation between the tunable parameters and the characteristics of the circuit. The analysis allows us to optimize the circuit behavior. The book is divided into three parts. Part I touches on the basics of circuit analysis in time domain and in s domain. For an s domain expression, the Taylor's expansion with s approaching infinity is equivalent to the time domain solution after the inverse Laplace transform. On the other hand, the Taylor's expansion when s approaches zero derives the moments of the output responses in time domain. Part II focuses on the techniques for parasitic reduction. In Chapter 2, we present the approximation methods to match the first few moments with reduced circuit orders. In Chapter 3, we apply the Y-Delta transformation to reduce the dynamic linear network. The method finds the exact values of the low order coefficients of the numerator and denominator of the transfer function and thus matches part of the moments. In Chapter 4, we handle two major issues of the Y-Delta transformation: common factors in fractional expressions and round-off errors. Chapter 5 explains the stability of the reduced expression, in particular the Ruth-Hurwitz Criterion. We make an effort to describe the proof of the Criterion because the details are omitted in most of the contemporary textbooks. In Chapter 6, we present techniques to synthesize circuits to approximate the reduced expressions after the transformation. In Part III, we discuss symbolic generation of the determinants and cofactors for the application to analog designs. In Chapter 7, we depict the classical topological analysis approach. In Chapter 8, we describe a determinant decision diagram approach that exploits the sparsity of the matrix to accelerate the computation. In Chapter 9, we take only significant terms when we search through determinant decision diagram to approximate the solution. In Chapter 10, we extend the determinant decision diagram to a hierarchical model. The construction of the modules through the hierarchy is similar to the Y-Delta transformation in the sense that a byproduct of common factors appears in the numerator and denominator. Therefore, we describe the method to prune the common factors.

Book Computer Methods for the Symbolic Analysis of Networks

Download or read book Computer Methods for the Symbolic Analysis of Networks written by C. Phrydas and published by . This book was released on 1976 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Network Analysis Literacy

    Book Details:
  • Author : Katharina A. Zweig
  • Publisher : Springer Science & Business Media
  • Release : 2016-10-26
  • ISBN : 3709107415
  • Pages : 546 pages

Download or read book Network Analysis Literacy written by Katharina A. Zweig and published by Springer Science & Business Media. This book was released on 2016-10-26 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a perspective of network analysis as a tool to find and quantify significant structures in the interaction patterns between different types of entities. Moreover, network analysis provides the basic means to relate these structures to properties of the entities. It has proven itself to be useful for the analysis of biological and social networks, but also for networks describing complex systems in economy, psychology, geography, and various other fields. Today, network analysis packages in the open-source platform R and other open-source software projects enable scientists from all fields to quickly apply network analytic methods to their data sets. Altogether, these applications offer such a wealth of network analytic methods that it can be overwhelming for someone just entering this field. This book provides a road map through this jungle of network analytic methods, offers advice on how to pick the best method for a given network analytic project, and how to avoid common pitfalls. It introduces the methods which are most often used to analyze complex networks, e.g., different global network measures, types of random graph models, centrality indices, and networks motifs. In addition to introducing these methods, the central focus is on network analysis literacy – the competence to decide when to use which of these methods for which type of question. Furthermore, the book intends to increase the reader's competence to read original literature on network analysis by providing a glossary and intensive translation of formal notation and mathematical symbols in everyday speech. Different aspects of network analysis literacy – understanding formal definitions, programming tasks, or the analysis of structural measures and their interpretation – are deepened in various exercises with provided solutions. This text is an excellent, if not the best starting point for all scientists who want to harness the power of network analysis for their field of expertise.

Book Neuro Symbolic Artificial Intelligence  The State of the Art

Download or read book Neuro Symbolic Artificial Intelligence The State of the Art written by P. Hitzler and published by IOS Press. This book was released on 2022-01-19 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuro-symbolic AI is an emerging subfield of Artificial Intelligence that brings together two hitherto distinct approaches. ”Neuro” refers to the artificial neural networks prominent in machine learning, ”symbolic” refers to algorithmic processing on the level of meaningful symbols, prominent in knowledge representation. In the past, these two fields of AI have been largely separate, with very little crossover, but the so-called “third wave” of AI is now bringing them together. This book, Neuro-Symbolic Artificial Intelligence: The State of the Art, provides an overview of this development in AI. The two approaches differ significantly in terms of their strengths and weaknesses and, from a cognitive-science perspective, there is a question as to how a neural system can perform symbol manipulation, and how the representational differences between these two approaches can be bridged. The book presents 17 overview papers, all by authors who have made significant contributions in the past few years and starting with a historic overview first seen in 2016. With just seven months elapsed from invitation to authors to final copy, the book is as up-to-date as a published overview of this subject can be. Based on the editors’ own desire to understand the current state of the art, this book reflects the breadth and depth of the latest developments in neuro-symbolic AI, and will be of interest to students, researchers, and all those working in the field of Artificial Intelligence.

Book SLAP

Download or read book SLAP written by Vivek Joshi and published by . This book was released on 1987 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Symbolic Data Analysis and the SODAS Software

Download or read book Symbolic Data Analysis and the SODAS Software written by Edwin Diday and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from such data. Symbolic data methods differ from that of data mining, for example, because rather than identifying points of interest in the data, symbolic data methods allow the user to build models of the data and make predictions about future events. This book is the result of the work f a pan-European project team led by Edwin Diday following 3 years work sponsored by EUROSTAT. It includes a full explanation of the new SODAS software developed as a result of this project. The software and methods described highlight the crossover between statistics and computer science, with a particular emphasis on data mining.

Book Special Section on Symbolic Circuit Analysis Techniques

Download or read book Special Section on Symbolic Circuit Analysis Techniques written by Georges G. E. Gielen and published by . This book was released on 1998 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: