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| applications of network theorems: Useful Network Theorems with Applications Harry E. Stockman, 1989 |
| applications of network theorems: Useful Network Theorems with Applications Harry E. Stockman, 1989 |
| applications of network theorems: Matroid Theory and its Applications in Electric Network Theory and in Statics Andras Recski, 2013-06-29 I. The topics of this book The concept of a matroid has been known for more than five decades. Whitney (1935) introduced it as a common generalization of graphs and matrices. In the last two decades, it has become clear how important the concept is, for the following reasons: (1) Combinatorics (or discrete mathematics) was considered by many to be a collection of interesting, sometimes deep, but mostly unrelated ideas. However, like other branches of mathematics, combinatorics also encompasses some gen eral tools that can be learned and then applied, to various problems. Matroid theory is one of these tools. (2) Within combinatorics, the relative importance of algorithms has in creased with the spread of computers. Classical analysis did not even consider problems where only a finite number of cases were to be studied. Now such problems are not only considered, but their complexity is often analyzed in con siderable detail. Some questions of this type (for example, the determination of when the so called greedy algorithm is optimal) cannot even be answered without matroidal tools. |
| applications of network theorems: Circuit and Network TheoryGATE, PSUS AND ES Examination Satish K Karna, Test Prep for Circuit and Network Theory—GATE, PSUS AND ES Examination |
| applications of network theorems: NETWORK THEORY SMARAJIT GHOSH, 2005-01-01 This book offers an excellent and practically oriented introduction to the basic concepts of modern circuit theory. It builds a thorough and rigorous understanding of the analysis techniques of electric networks, and also explains the essential procedures involved in the synthesis of passive networks. Written specifically to meet the needs of undergraduate students of electrical and electronics engineering, electronics and communication engineering, instru-mentation and control engineering, and computer science and engineering, the book provides modularized coverage of the full spectrum of network theory suitable for a one-semester course. A balanced emphasis on conceptual understanding and problem-solving helps students master the basic principles and properties that govern circuit behaviour. A large number of solved examples show students the step-by-step processes for applying the techniques presented in the text. A variety of exercises with answers at the chapter ends allow students to practice the solution methods. Besides students pursuing courses in engineering, the book is also suitable for self-study by those preparing for AMIE and competitive examinations. An objective-type question bank at the end of book is designed to see how well the students have mastered the material presented in the text. |
| applications of network theorems: Electromagnetic Field Computation by Network Methods Leopold B. Felsen, Mauro Mongiardo, Peter Russer, 2009-03-05 In this monograph, the authors propose a systematic and rigorous treatment of electromagnetic field representations in complex structures. The architecture suggested in this book accommodates use of different numerical methods as well as alternative Green's function representations in each of the subdomains resulting from a partitioning of the overall problem. The subdomains are regions of space where electromagnetic energy is stored and are described in terms of equivalent circuit representations based either on lumped element circuits or on transmission lines. Connection networks connect the subcircuits representing the subdomains. The connection networks are lossless, don't store energy and represent the overall problem topology. This is similar to what is done in circuit theory and permits a phrasing of the solution of EM field problems in complex structures by Network-oriented methods. |
| applications of network theorems: Net Theory And Its Applications: Flows In Networks Wai-kai Chen, 2003-05-22 Electrical, communication, transportation, computer, and neural networks are special kinds of nets. Designing these networks demands sophisticated mathematical models for their analysis. This book is the first to present a unified, comprehensive, and up-to-date treatment of net theory. It brings together elements of abstract graph theory and circuit analysis to network problems. |
| applications of network theorems: Feedback Networks John Choma, Wai-Kai Chen, 2007 This book addresses the theoretical and practical circuit and system concepts that underpin the design of reliable and reproducible, high performance, monolithic feedback circuits. It is intended for practicing electronics engineers and students who wish to acquire an insightful understanding of the ways in which open loop topologies, closed loop architectures, and fundamental circuit theoretic issues combine to determine the limits of performance of analog networks. Since many of the problems that underpin high speed digital circuit design are a subset of the analysis and design dilemmas confronted by wideband analog circuit designers, the book is also germane to high performance digital circuit design. |
| applications of network theorems: Principles of Microwave Circuits Carol Gray Montgomery, Robert Henry Dicke, Edward M. Purcell, 1987 Offers a detailed explanation of the development of the impedance concept and its equivalent microwave circuits. |
| applications of network theorems: Network Theory and Filter Design Vasudev K. Aatre, 1986 |
| applications of network theorems: Fuzzy Neural Network Theory And Application Puyin Liu, Hong-xing Li, 2004-06-07 This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to help the reader grasp the underlying theory. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing. It can also be used as a textbook for graduate courses in applied mathematics, computer science, automatic control and electrical engineering. |
| applications of network theorems: Electronic Engineering Applications of Two–Port Networks H. B. Gatland, 2016-06-06 Electronic Engineering Applications of Two-Port Networks aims to present the method of developing two-port theory to form the basis of a course on linear electronic systems. This book specifically presents topics on small-signal parameters; two-port models; small-signal analysis of the common-emitter amplifier; and general analysis of small-signal amplifier performance. A chapter is devoted to discussing topics on tandem connections of two ports, which is followed by exercises on matrix reduction. This text also tackles basic feedback connections, feedback amplifiers, and feedback oscillators. The application of the feedback systems is then examined. This book concludes by explaining the capacitive effects on transistor performance. This text will be beneficial to students and experts in the field of electronics. |
| applications of network theorems: Tellegen's Theorem and Electrical Networks Paul Penfield, Robert Spence, Simon Duinker, 1970 B. D. H. Tellegen's theorem is still not as widely known as its utility warrants. The authors of this monograph set out to correct this neglect. |
| applications of network theorems: Monotone Operators and Applications in Control and Network Theory Václav Doležal, 1979 |
| applications of network theorems: Basic Electrical Engineering: Principles, Designs and Applications Vibhav Kumar Sachan, Syed Akhtar Imam, 2024-11-18 Basic Electrical Engineering: Principles, Designs and Applications has been widely utilized in recent years in electrical engineering, microprocessors, electrical drives, and power electronics research, among other fields. This book aims to cater to the needs of the undergraduate courses in the discipline of Electronics & Communication Engineering, Electronics & Instrumentation Engineering, Electrical & Electronics Engineering, Instrumentation and Control Engineering and postgraduate students specializing in Electronics, Control Engineering. It will also serve as reference material for engineers employed in industry. The fundamental concepts and principles behind transformers, three-phase circuits and electrical generators and motors are explained in a simple, easy-to-understand manner. Each chapter contains a good number of short answers and of multiple-choice questions with explanation which makes the book quite useful for Indian Engineering Service(IES), Graduate Aptitude Test in Engineering (GATE), National Eligibility Test (NET), State Eligibility Test (SET), University Grants Commission- Council of Scientific & Industrial Research (UGC-CSIR) and other entrance examinations. |
| applications of network theorems: Graph Theory And Its Engineering Applications Wai-kai Chen, 1997-02-03 Graphs are extremely useful in modeling systems in physical sciences and engineering problems, because of their intuitive diagrammatic nature. This text gives a reasonably deep account of material closely related to engineering applications. Topics like directed-graph solutions of linear equations, topological analysis of linear systems, state equations, rectangle dissection and layouts, and network flows are included. A major theme of the book is electrical network theory.This book is basically intended as a reference text for researchers, and requires a certain level of mathematical maturity. However the text may equally well be used for graduate level courses on network topology and linear systems and circuits. Some of the later chapters are suitable as topics for advanced seminars. A special feature of the book is that references to other published literature are included for almost all the results presented, making the book especially handy for those wishing to continue with a study of special topics. |
| applications of network theorems: NETWORK ANALYSIS AND SYNTHESIS KUMAR, A. ANAND, 2019-01-01 This comprehensive test on Network Analysis and Synthesis is designed for undergraduate students of Electronics and Communication Engineering, Electrical and Electronics Engineering, Electronics and Instrumentation Engineering, Electronics and Computer Engineering and Biomedical Engineering. The book will also be useful to AMIE and IETE students. Written with student-centered, pedagogically driven approach, the text provides a self-centered introduction to the theory of network analysis and synthesis. Striking a balance between theory and practice, it covers topics ranging from circuit elements and Kirchhoff’s laws, network theorems, loop and node analysis of dc and ac circuits, resonance, transients, coupled circuits, three-phase circuits, graph theory, Fourier and Laplace analysis, Filters, attenuators and equalizers to network synthesis. All the solved and unsolved problems in this book are designed to illustrate the topics in a clear way. KEY FEATURES Numerous worked-out examples in each chapter. Short questions with answers help students to prepare for examinations. Objective type questions, Fill in the blanks, Review questions and Unsolved problems at the end of each chapter to test the level of understanding of the subject. Additional examples are available at: www.phindia.com/anand_kumar_network_analysis |
| applications of network theorems: Theory and Applications of Models of Computation Jianer Chen, Qilong Feng, Jinhui Xu, 2020-10-11 This book constitutes the refereed proceedings of the 16th Annual Conference on Theory and Applications of Models of Computation, TAMC 2020, held in Changsha, China, in October 2020. The 37 full papers were carefully reviewed and selected from 83 submissions. The main themes of the selected papers are computability, complexity, algorithms, information theory and their extensions to machine learning theory and foundations of artificial intelligence. |
| applications of network theorems: Network Information Theory Abbas El Gamal, Young-Han Kim, 2011-12-08 This comprehensive treatment of network information theory and its applications provides the first unified coverage of both classical and recent results. With an approach that balances the introduction of new models and new coding techniques, readers are guided through Shannon's point-to-point information theory, single-hop networks, multihop networks, and extensions to distributed computing, secrecy, wireless communication, and networking. Elementary mathematical tools and techniques are used throughout, requiring only basic knowledge of probability, whilst unified proofs of coding theorems are based on a few simple lemmas, making the text accessible to newcomers. Key topics covered include successive cancellation and superposition coding, MIMO wireless communication, network coding, and cooperative relaying. Also covered are feedback and interactive communication, capacity approximations and scaling laws, and asynchronous and random access channels. This book is ideal for use in the classroom, for self-study, and as a reference for researchers and engineers in industry and academia. |
| applications of network theorems: Foundations of Chemical Reaction Network Theory Martin Feinberg, 2019-01-31 This book provides an authoritative introduction to the rapidly growing field of chemical reaction network theory. In particular, the book presents deep and surprising theorems that relate the graphical and algebraic structure of a reaction network to qualitative properties of the intricate system of nonlinear differential equations that the network induces. Over the course of three main parts, Feinberg provides a gradual transition from a tutorial on the basics of reaction network theory, to a survey of some of its principal theorems, and, finally, to a discussion of the theory’s more technical aspects. Written with great clarity, this book will be of value to mathematicians and to mathematically-inclined biologists, chemists, physicists, and engineers who want to contribute to chemical reaction network theory or make use of its powerful results. |
| applications of network theorems: Mathematical Aspects of Electrical Network Analysis Herbert S. Wilf, Frank Harary, 1971 |
| applications of network theorems: Theory and Application of Graphs Junming Xu, 2003-07-31 In the spectrum of mathematics, graph theory which studies a mathe matical structure on a set of elements with a binary relation, as a recognized discipline, is a relative newcomer. In recent three decades the exciting and rapidly growing area of the subject abounds with new mathematical devel opments and significant applications to real-world problems. More and more colleges and universities have made it a required course for the senior or the beginning postgraduate students who are majoring in mathematics, computer science, electronics, scientific management and others. This book provides an introduction to graph theory for these students. The richness of theory and the wideness of applications make it impossi ble to include all topics in graph theory in a textbook for one semester. All materials presented in this book, however, I believe, are the most classical, fundamental, interesting and important. The method we deal with the mate rials is to particularly lay stress on digraphs, regarding undirected graphs as their special cases. My own experience from teaching out of the subject more than ten years at University of Science and Technology of China (USTC) shows that this treatment makes hardly the course di:fficult, but much more accords with the essence and the development trend of the subject. |
| applications of network theorems: All-in-One Electronics Simplified A.K. Maini, Nakul Maini, The All-in-one Electronics Simplified is comprehensive treatise on the whole gamut of topics in Electronics in Q &A format. The book is primarily intended for undergraduate students of Electronics Engineering and covers six major subjects taught at the undergraduate level students of Electronics Engineering and covers six major subjects taught at the undergraduate level including Electronic Devices and Circuits, Network Analysis , Operational Amplifiers and Linear Integrated Circuits, Digital Electronics, Feedback and Control Systems and Measurements and Instrumentation. Each of the thirty chapters is configured as the Q&A part followed by a large number of Solved Problems. A comprehensive Self-Evaluation Exercise comprising multiple choice questions and other forms of objective type exercises concludes each chapter. |
| applications of network theorems: Confidential Documents United States. Army Air Forces, 1950 |
| applications of network theorems: Electric Circuit Analysis S. N. Sivanandam, 2009-11-01 This book Electric Circuit Analysis attempts to provide an exhaustive treatment of the basic foundations and principles of circuit analysis, which should become an integral part of a students knowledge in his pursuit of the study of further topics in electrical engineering. The topics covered can be handled quite comfortably in two academic semesters. Numerous solved problems are provided to illustrate the concepts. In addition, a large number of exercise problems have been included at the end of each chapter. This revised edition covers some additional topics separately in an appendix. Further, some revisions and corrections have been incorporated in the text, as per the suggestions given by teachers and students of electrical engineering. The book draws upon three decades of teaching experience of the author in this subject. Students are advised to work out the problems and enhance their learning and knowledge of the subject. The book includes objective type questions to help students prepare for competitive examinations. |
| applications of network theorems: Multidimensional Systems Theory and Applications N.K. Bose, 2013-12-20 Preface to Second Edition From the time that the original edition was published in 1985, multidimensional systems theory has matured into a discipline of research and teaching with an expanding array of applications. The international journal on Multidimensional Systems and Signal Processing, founded in 1990, is now in its fourteenth year. A biannual international workshop on n-D systems was launched in 1998 and the impressive number of special sessions, mini-symposia, monographs and special issues that have emerged bear testimony to the growing popularity and importance of the subject -matter among scientists in various disciplines including engineering, computer science, geophysics and mathematics. This second edition builds on the fundamentals expounded in the original book with the addition of important developments in theory as well as practice since 1985. Particular attention has been given to the consolidation of basic results, uni fication of theory and the diversification of applications. Chapters that remain have been reordered and updated in content and references. Some chapters, considered to be somewhat outdated, have been replaced with newer proven as well as poten tially significant results, inspired by some groundbreaking research and directions which are likely to stimulate further research. In addition to the description of some challenging open problems, posed in 1985, which have since been solved, new problems yet to be tackled are also included. |
| applications of network theorems: Basic Electrical And Electronics Engineering I (For Wbut) Bhattacharya S. K., 2010-09 |
| applications of network theorems: Circuits and Networks Uday A. Bakshi, Late Ajay V. Bakshi, 2020-12-01 The book covers all the aspects of Network Analysis for undergraduate course. The book provides comprehensive coverage of circuit analysis and simplification techniques, coupled circuits, network theorems, transient analysis, Laplace transform, network functions, two port network parameters, network topology and network synthesis with the help of large number of solved problems. The book starts with explaining the various circuit variables, elements and sources. Then it explains different network simplification techniques including mesh analysis, node analysis and source shifting. The basics of coupled circuits and dot conventions are also explained in support. The book covers the application of various network theorems to d.c. and a.c. circuits. The importance of initial conditions and transient analysis of various networks is also explained in the book. The Laplace transform plays an important role in the network analysis. The chapter on Laplace transform includes properties of Laplace transform and its application in the network analysis. The book includes the discussion of network functions of one and two port networks. The book covers the various aspects of two port network parameters along with the conditions of symmetry and reciprocity. It also derives the interrelationships between the two port network parameters. The book incorporates the discussion of network topology. Finally the book covers the fundamentals of network synthesis and synthesis of LC, RC and RL networks. The book uses plain and lucid language to explain each topic. The book provides the logical method of explaining the various complicated topics and stepwise methods to make the understanding easy. The variety of solved examples is the feature of this book. The book explains the philosophy of the subject which makes the understanding of the subject very clear and makes the subject more interesting. The students have to omit nothing and possibly have to cover nothing more. |
| applications of network theorems: Artificial Intelligence Applications and Innovations Lazaros S. Iliadis, Ilias Maglogiannis, Harris Papadopoulos, 2012-09-22 This book constitutes the refereed proceedings of the 8th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2012, held in Halkidiki, Greece, in September 2012. The 44 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on ANN-classification and pattern recognition, optimization - genetic algorithms, artificial neural networks, learning and mining, fuzzy logic, classification - pattern recognition, multi-agent systems, multi-attribute DSS, clustering, image-video classification and processing, and engineering applications of AI and artificial neural networks. |
| applications of network theorems: Dynamic Social Network Modeling and Analysis National Research Council, Division of Behavioral and Social Sciences and Education, Board on Behavioral, Cognitive, and Sensory Sciences, Committee on Human Factors, 2003-08-01 In the summer of 2002, the Office of Naval Research asked the Committee on Human Factors to hold a workshop on dynamic social network and analysis. The primary purpose of the workshop was to bring together scientists who represent a diversity of views and approaches to share their insights, commentary, and critiques on the developing body of social network analysis research and application. The secondary purpose was to provide sound models and applications for current problems of national importance, with a particular focus on national security. This workshop is one of several activities undertaken by the National Research Council that bears on the contributions of various scientific disciplines to understanding and defending against terrorism. The presentations were grouped in four sessions †Social Network Theory Perspectives, Dynamic Social Networks, Metrics and Models, and Networked Worlds †each of which concluded with a discussant-led roundtable discussion among the presenters and workshop attendees on the themes and issues raised in the session. |
| applications of network theorems: Social Network Analysis Stanley Wasserman, Katherine Faust, 1994-11-25 Social network analysis is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. The social network perspective focuses on relationships among social entities and is an important addition to standard social and behavioral research, which is primarily concerned with attributes of the social units. Social Network Analysis: Methods and Applications reviews and discusses methods for the analysis of social networks with a focus on applications of these methods to many substantive examples. It is a reference book that can be used by those who want a comprehensive review of network methods, or by researchers who have gathered network data and want to find the most appropriate method by which to analyze it. It is also intended for use as a textbook as it is the first book to provide comprehensive coverage of the methodology and applications of the field. |
| applications of network theorems: Objective Electrical, Electronic and Telecommunication Engineering Theraja B.L. & Pandey V.K., 2009 A Textbook on Electrical Technology |
| applications of network theorems: Electromagnetic Frontier Theory Exploration Changhong Liang, Xi Chen, 2019-11-05 This book systematically introduces electromagnetic theories and their applications in practice: electrostatic energy, Poynting theorem, the polarization of waves, the conservation law, the electromagnetic symmetry, the conformal mapping method, the electromagnetic loss. The parameters and theorems of electromagnetic theories are discussed in detail, making the book an essential reference for researchers, and engineers in electromagnetics field. |
| applications of network theorems: Generalized Networks Richard Saeks, 1972 |
| applications of network theorems: Lectures on Graph Theory Ray D. Sameshima, 2025-04-09 This book introduces foundational topics such as group theory, fields, linear algebra, matrix theory, and graph theory, providing readers with the essential background needed to understand Feynman diagrams and their integral representations. The book highlights Feynman's parametrization as a central tool for studying Feynman integrals, starting with the traditional momentum representation. Schwinger and Lee-Pomeransky parametrizations are covered in a supplementary chapter. Readers will develop a clear understanding of the mathematical properties and practical applications of these techniques, with a particular emphasis on Feynman’s approach. Advanced topics such as integration-by-parts identities and intersection number theory are explored in the final chapter, offering readers a gateway to key mathematical structures. The prerequisites are minimal—only a basic familiarity with algebra and calculus is recommended. The content begins with introductory concepts and gradually progresses to more advanced material, ensuring a balanced learning curve. Practical examples throughout the book reinforce the main ideas, allowing readers to apply what they’ve learned and deepen their understanding as they move through the material. |
| applications of network theorems: Ten Applications of Graph Theory Hansjoachim Walther, 2012-12-06 Growing specialization and diversification have brought a host of monographs and textbooks on increasingly specialized topics. However, the tree of knowledge of mathematics and related fields does not grow only by putting forth new bran ches. It also happens, quite often in fact, that branches which were thought to be completely disparate are suddenly seen to be related. Further, the kind and level of sophistication of mathematics applied in various sciences has changed drastically in recent years: measure theory is used (non-tri vially) in regional and theoretical economics; algebraic geometry interacts with physics; the Minkowsky lemma, coding theory and the structure of water meet one another in packing and covering theory; quantum fields, crystal defects and mathematical programming profit from homotopy theory; Lie algebras are relevant to filtering; and prediction and electrical engineering can use Stein spaces. And in addition to this there are such new emerging subdisciplines as completely integrable systems, chaos, synergetics and large-scale order, which are almost impossible to fit into the existing classification schemes. They draw upon widely different sections of mathematics. This program, Mathematics and Its Applications, is devoted to such (new) interrelations as exempla gratia: - a central concept which plays an important role in several different mathe matical and/or scientific specialized areas; - new applications of the results and ideas from one area of scientific endeavor into another; - influences which the results, problems and concepts of one field of enquiry have and have had on the development of another. |
| applications of network theorems: Air Force Research Resumés , |
| applications of network theorems: A Student Handbook To Engineering Service Examination (Electronics & Communication Engineering , 2015-02-26 This handbook covers information and guidelines to prepare prestigious Engineering Service Examination. |
| applications of network theorems: Advances in Neural Networks - ISNN 2005 Xiaofeng Liao, 2005-05-17 This book and its sister volumes constitute the proceedings of the 2nd International Symposium on Neural Networks (ISNN 2005). ISNN 2005 was held in the beautiful mountain city Chongqing by the upper Yangtze River in southwestern China during May 30–June 1, 2005, as a sequel of ISNN 2004 successfully held in Dalian, China. |
| applications of network theorems: Fundamentals of Electrical Engineering M. A. Mallick, 2010 |
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