Network Models

Author : Alan Julian Izenman
Publisher : Cambridge University Press
Page : 502 pages
File Size : 54,7 Mb
Release : 2023-01-05
Category : Mathematics
ISBN : 9781108889032

Get Book

Network Models for Data Science by Alan Julian Izenman Pdf

This text on the theory and applications of network science is aimed at beginning graduate students in statistics, data science, computer science, machine learning, and mathematics, as well as advanced students in business, computational biology, physics, social science, and engineering working with large, complex relational data sets. It provides an exciting array of analysis tools, including probability models, graph theory, and computational algorithms, exposing students to ways of thinking about types of data that are different from typical statistical data. Concepts are demonstrated in the context of real applications, such as relationships between financial institutions, between genes or proteins, between neurons in the brain, and between terrorist groups. Methods and models described in detail include random graph models, percolation processes, methods for sampling from huge networks, network partitioning, and community detection. In addition to static networks the book introduces dynamic networks such as epidemics, where time is an important component.

Author : Mitsuo Gen,Runwei Cheng,Lin Lin
Publisher : Springer Science & Business Media
Page : 692 pages
File Size : 40,5 Mb
Release : 2008-07-10
Category : Technology & Engineering
ISBN : 9781848001817

Get Book

Network Models and Optimization by Mitsuo Gen,Runwei Cheng,Lin Lin Pdf

Network models are critical tools in business, management, science and industry. “Network Models and Optimization” presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. The book extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, traveling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. The book can be used both as a student textbook and as a professional reference for practitioners who use network optimization methods to model and solve problems.

Author : H.A. Eiselt,Carl-Louis Sandblom
Publisher : Springer Science & Business Media
Page : 501 pages
File Size : 52,5 Mb
Release : 2013-03-14
Category : Business & Economics
ISBN : 9783662041970

Get Book

Integer Programming and Network Models by H.A. Eiselt,Carl-Louis Sandblom Pdf

The purpose of this book is to provide readers with an introduction to the very active field of integer programming and network models. The idea is to cover the main parts of the field without being too detailed or too technical. As a matter of fact, we found it somewhat surprising that most--especially newer---books are strongly algorithmically oriented. In contrast, the main emphasis of this book is on models rather than methods. This focus expresses our view that methods are tools to solve actual problems and not ends in themselves. As such, graduate (and with some omissions, undergraduate) students may find this book helpful in their studies as will practitioners who would like to get acquainted with a field or use this text as a refresher. This premise has resulted in a coverage that omits material that is standard fare in other books, whereas it covers topics that are only infrequently found elsewhere. There are some, yet relatively few, prerequisites for the reader. Most material that is required for the understanding of more than one chapter is presented in one of the four chapters of the introductory part, which reviews the main results in linear programming, the analysis of algorithms, graphs and networks, and dynamic programming, respectively. Readers who are familiar with the issues involved can safely skip that part. The three main parts of the book rely on intuitive reasoning and examples, whenever practical, instead of theorems and proofs.

Author : E. R. Lewis
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 40,8 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783642811340

Get Book

Network Models in Population Biology by E. R. Lewis Pdf

This book is an outgrowth of one phase of an upper-division course on quantitative ecology, given each year for the past eight at Berkeley. I am most grateful to the students in that course and to many graduate students in the Berkeley Department of Zoology and Colleges of Engineering and Natural Resources whose spirited discussions inspired much of the book's content. I also am deeply grateful to those faculty colleagues with whom, at one time or another, I have shared courses or seminars in ecology or population biology, D.M. Auslander, L. Demetrius, G. Oster, O.H. Paris, F.A. Pitelka, A.M. Schultz, Y. Takahashi, D.B. Tyler, and P. Vogelhut, all of whom contributed substantially to the development of my thinking in those fields, to my Depart mental colleagues E. Polak and A.J. Thomasian, who guided me into the litera ture on numerical methods and stochastic processes, and to the graduate students who at one time or another have worked with me on population-biology projects, L.M. Brodnax, S-P. Chan, A. Elterman, G.C. Ferrell, D. Green, C. Hayashi, K-L. Lee, W.F. Martin Jr., D. May, J. Stamnes, G.E. Swanson, and I. Weeks, who, together, undoubtedly provided me with the greatest inspiration. I am indebted to the copy-editing and production staff of Springer-Verlag, especially to Ms. M. Muzeniek, for their diligence and skill, and to Mrs. Alice Peters, biomathematics editor, for her patience.

Author : Fred Glover,Darwin Klingman,Nancy V. Phillips
Publisher : John Wiley & Sons
Page : 306 pages
File Size : 53,9 Mb
Release : 2011-10-14
Category : Mathematics
ISBN : 9781118031421

Get Book

Network Models in Optimization and Their Applications in Practice by Fred Glover,Darwin Klingman,Nancy V. Phillips Pdf

Unique in that it focuses on formulation and case studies ratherthan solutions procedures covering applications for pure,generalized and integer networks, equivalent formulations plussuccessful techniques of network models. Every chapter contains asimple model which is expanded to handle more complicateddevelopments, a synopsis of existing applications, one or more casestudies, at least 20 exercises and invaluable references. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available upon request from the Wileyeditorial department.

Author : Andrzej Pawelec
Publisher : Wydawnictwo UJ
Page : 195 pages
File Size : 48,8 Mb
Release : 2010-06
Category : Language Arts & Disciplines
ISBN : 9788323328681

Get Book

Prepositional Network Models by Andrzej Pawelec Pdf

This book presents an ongoing debate in cognitive linguistics about the modelling of prepositional polysemy, known as "the story of over." Additionally, it discusses a Polish counterpart - "the story of za(-)" (a preposition and a verbal prefix). Its further aim is to reveal a deep divergence of perspectives between the cognitive and hermeneutical approaches to the meaning of words. The argument could be summarised as follows: the issue of the representation of lexical senses (available out of context) presupposes the issue of distinct meanings of words in communal use, which in turn presupposes the question of the transformative power of words (in linguistics, articulated by Humboldt as energeia). In short, the book proposes to complement a post hoc static cognitive approach with a dynamic "expressive" one.

Author : Philippe de Wilde
Publisher : Springer Science & Business Media
Page : 76 pages
File Size : 52,5 Mb
Release : 1997-05-30
Category : Technology & Engineering
ISBN : 3540761292

Get Book

Neural Network Models by Philippe de Wilde Pdf

Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. It presents the essential principles of nonlinear dynamics as derived from neurobiology, and investigates the stability, convergence behaviour and capacity of networks.

Author : Enrique Castillo,Jose M. Gutierrez,Ali S. Hadi
Publisher : Springer Science & Business Media
Page : 612 pages
File Size : 49,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461222705

Get Book

Expert Systems and Probabilistic Network Models by Enrique Castillo,Jose M. Gutierrez,Ali S. Hadi Pdf

Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.

Author : Anna Goldenberg,Alice X. Zheng,Stephen E. Fienberg,Edoardo M. Airoldi
Publisher : Now Publishers Inc
Page : 118 pages
File Size : 52,7 Mb
Release : 2010
Category : Computers
ISBN : 9781601983206

Get Book

A Survey of Statistical Network Models by Anna Goldenberg,Alice X. Zheng,Stephen E. Fienberg,Edoardo M. Airoldi Pdf

Networks are ubiquitous in science and have become a focal point for discussion in everyday life. Formal statistical models for the analysis of network data have emerged as a major topic of interest in diverse areas of study, and most of these involve a form of graphical representation. Probability models on graphs date back to 1959. Along with empirical studies in social psychology and sociology from the 1960s, these early works generated an active network community and a substantial literature in the 1970s. This effort moved into the statistical literature in the late 1970s and 1980s, and the past decade has seen a burgeoning network literature in statistical physics and computer science. The growth of the World Wide Web and the emergence of online networking communities such as Facebook, MySpace, and LinkedIn, and a host of more specialized professional network communities has intensified interest in the study of networks and network data. Our goal in this review is to provide the reader with an entry point to this burgeoning literature. We begin with an overview of the historical development of statistical network modeling and then we introduce a number of examples that have been studied in the network literature. Our subsequent discussion focuses on a number of prominent static and dynamic network models and their interconnections. We emphasize formal model descriptions, and pay special attention to the interpretation of parameters and their estimation. We end with a description of some open problems and challenges for machine learning and statistics.

Author : S. E. Elmaghraby
Publisher : Springer Science & Business Media
Page : 182 pages
File Size : 49,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642805585

Get Book

Some Network Models in Management Science by S. E. Elmaghraby Pdf

Author : Gurami Shalvovich T︠S︡it︠s︡iashvili,Marina Anatolʹevna Osipova
Publisher : Nova Publishers
Page : 90 pages
File Size : 48,7 Mb
Release : 2008
Category : Computers
ISBN : 1604561432

Get Book

Distributions in Stochastic Network Models by Gurami Shalvovich T︠S︡it︠s︡iashvili,Marina Anatolʹevna Osipova Pdf

This monograph presents important research results in the areas of queuing theory, risk theory, graph theory and reliability theory. The analysed stochastic network models are aggregated systems of elements in random environments. To construct and to analyse a large number of different stochastic network models it is possible by a proof of new analytical results and a construction of calculation algorithms besides of the application of cumbersome traditional techniques Such a constructive approach is in a prior detailed investigation of an algebraic model component and leads to an appearance of new original stochastic network models, algorithms and application to computer science and information technologies. Accuracy and asymptotic formulas, additional calculation algorithms have been constructed due to an introduction of control parameters into analysed models, a reduction of multi-dimensional problems to one dimensional problems, a comparative analysis, a graphic interpretation of network models, an investigation of new models characteristics, a choice of special distributions classes or principles of subsystems aggregation, proves of new statements.

Author : Philippe Weber,Christophe Simon
Publisher : John Wiley & Sons
Page : 146 pages
File Size : 42,7 Mb
Release : 2016-08-29
Category : Mathematics
ISBN : 9781848219922

Get Book

Benefits of Bayesian Network Models by Philippe Weber,Christophe Simon Pdf

The application of Bayesian Networks (BN) or Dynamic Bayesian Networks (DBN) in dependability and risk analysis is a recent development. A large number of scientific publications show the interest in the applications of BN in this field. Unfortunately, this modeling formalism is not fully accepted in the industry. The questions facing today's engineers are focused on the validity of BN models and the resulting estimates. Indeed, a BN model is not based on a specific semantic in dependability but offers a general formalism for modeling problems under uncertainty. This book explains the principles of knowledge structuration to ensure a valid BN and DBN model and illustrate the flexibility and efficiency of these representations in dependability, risk analysis and control of multi-state systems and dynamic systems. Across five chapters, the authors present several modeling methods and industrial applications are referenced for illustration in real industrial contexts.

Author : Valery A. Kalyagin,Panos M. Pardalos,Themistocles M. Rassias
Publisher : Springer
Page : 305 pages
File Size : 42,5 Mb
Release : 2014-09-23
Category : Mathematics
ISBN : 9783319096834

Get Book

Network Models in Economics and Finance by Valery A. Kalyagin,Panos M. Pardalos,Themistocles M. Rassias Pdf

Using network models to investigate the interconnectivity in modern economic systems allows researchers to better understand and explain some economic phenomena. This volume presents contributions by known experts and active researchers in economic and financial network modeling. Readers are provided with an understanding of the latest advances in network analysis as applied to economics, finance, corporate governance, and investments. Moreover, recent advances in market network analysis that focus on influential techniques for market graph analysis are also examined. Young researchers will find this volume particularly useful in facilitating their introduction to this new and fascinating field. Professionals in economics, financial management, various technologies, and network analysis, will find the network models presented in this book beneficial in analyzing the interconnectivity in modern economic systems.

Author : Seiichi Nakagawa,Kiyohiro Shikano,Yoh'ichi Tohkura
Publisher : IOS Press
Page : 254 pages
File Size : 45,7 Mb
Release : 1995
Category : Medical
ISBN : 9051991789

Get Book

Speech, Hearing and Neural Network Models by Seiichi Nakagawa,Kiyohiro Shikano,Yoh'ichi Tohkura Pdf

A wide range of fields of study support speech research. They cover many fields like for instance phonetics, linguistics, psychology, cognitive science, sonics, information engineering (information theory, pattern recognition, artificial intelligence), and it is an extremely difficult job to carry all of these in one body.The first half of this book gives detailed descriptions of engineering applications, that is the speech, hearing and perception mechanisms that form the basis for automatic synthesis and recognition of speech. The second half of this book gives a detailed explanation of speech synthesis and recognition based on a collective physiological approach, that is the artificial neural networks which imitate human neural networks and have once again been bathed in attention lately. The characteristics of this book are that, along with having engineers and technicians as its main targets, it explains engineering models based on speech science.

Author : A. Ravishankar Rao,Guillermo A. Cecchi
Publisher : Springer Science & Business Media
Page : 234 pages
File Size : 45,6 Mb
Release : 2011-09-18
Category : Medical
ISBN : 9781461407249

Get Book

The Relevance of the Time Domain to Neural Network Models by A. Ravishankar Rao,Guillermo A. Cecchi Pdf

A significant amount of effort in neural modeling is directed towards understanding the representation of information in various parts of the brain, such as cortical maps [6], and the paths along which sensory information is processed. Though the time domain is integral an integral aspect of the functioning of biological systems, it has proven very challenging to incorporate the time domain effectively in neural network models. A promising path that is being explored is to study the importance of synchronization in biological systems. Synchronization plays a critical role in the interactions between neurons in the brain, giving rise to perceptual phenomena, and explaining multiple effects such as visual contour integration, and the separation of superposed inputs. The purpose of this book is to provide a unified view of how the time domain can be effectively employed in neural network models. A first direction to consider is to deploy oscillators that model temporal firing patterns of a neuron or a group of neurons. There is a growing body of research on the use of oscillatory neural networks, and their ability to synchronize under the right conditions. Such networks of synchronizing elements have been shown to be effective in image processing and segmentation tasks, and also in solving the binding problem, which is of great significance in the field of neuroscience. The oscillatory neural models can be employed at multiple scales of abstraction, ranging from individual neurons, to groups of neurons using Wilson-Cowan modeling techniques and eventually to the behavior of entire brain regions as revealed in oscillations observed in EEG recordings. A second interesting direction to consider is to understand the effect of different neural network topologies on their ability to create the desired synchronization. A third direction of interest is the extraction of temporal signaling patterns from brain imaging data such as EEG and fMRI. Hence this Special Session is of emerging interest in the brain sciences, as imaging techniques are able to resolve sufficient temporal detail to provide an insight into how the time domain is deployed in cognitive function. The following broad topics will be covered in the book: Synchronization, phase-locking behavior, image processing, image segmentation, temporal pattern analysis, EEG analysis, fMRI analyis, network topology and synchronizability, cortical interactions involving synchronization, and oscillatory neural networks. This book will benefit readers interested in the topics of computational neuroscience, applying neural network models to understand brain function, extracting temporal information from brain imaging data, and emerging techniques for image segmentation using oscillatory networks