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Discrete and Continuous Models in the Theory of Networks

Discrete and Continuous Models in the Theory of Networks
Author: Fatihcan M. Atay
Publisher: Springer Nature
Total Pages: 370
Release: 2020-09-03
Genre: Mathematics
ISBN: 3030440974

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This book contains contributions from the participants of the research group hosted by the ZiF - Center for Interdisciplinary Research at the University of Bielefeld during the period 2013-2017 as well as from the conclusive conference organized at Bielefeld in December 2017. The contributions consist of original research papers: they mirror the scientific developments fostered by this research program or the state-of-the-art results presented during the conclusive conference. The volume covers current research in the areas of operator theory and dynamical systems on networks and their applications, indicating possible future directions. The book will be interesting to researchers focusing on the mathematical theory of networks; it is unique as, for the first time, continuous network models - a subject that has been blooming in the last twenty years - are studied alongside more classical and discrete ones. Thus, instead of two different worlds often growing independently without much intercommunication, a new path is set, breaking with the tradition. The fruitful and beneficial exchange of ideas and results of both communities is reflected in this book.


Linear Network Optimization

Linear Network Optimization
Author: Dimitri P. Bertsekas
Publisher: MIT Press
Total Pages: 384
Release: 1991
Genre: Business & Economics
ISBN: 9780262023344

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Linear Network Optimization presents a thorough treatment of classical approaches to network problems such as shortest path, max-flow, assignment, transportation, and minimum cost flow problems.


Network Optimization: Continuous and Discrete Models

Network Optimization: Continuous and Discrete Models
Author: Dimitri Bertsekas
Publisher: Athena Scientific
Total Pages: 607
Release: 1998-01-01
Genre: Business & Economics
ISBN: 1886529027

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An insightful, comprehensive, and up-to-date treatment of linear, nonlinear, and discrete/combinatorial network optimization problems, their applications, and their analytical and algorithmic methodology. It covers extensively theory, algorithms, and applications, and it aims to bridge the gap between linear and nonlinear network optimization on one hand, and integer/combinatorial network optimization on the other. It complements several of our books: Convex Optimization Theory (Athena Scientific, 2009), Convex Optimization Algorithms (Athena Scientific, 2015), Introduction to Linear Optimization (Athena Scientific, 1997), Nonlinear Programming (Athena Scientific, 1999), as well as our other book on the subject of network optimization Network Flows and Monotropic Optimization (Athena Scientific, 1998).


Network Optimization

Network Optimization
Author: Panos M. Pardalos
Publisher: Springer Science & Business Media
Total Pages: 495
Release: 2012-12-06
Genre: Business & Economics
ISBN: 3642591795

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Network optimization is important in the modeling of problems and processes from such fields as engineering, computer science, operations research, transportation, telecommunication, decision support systems, manufacturing, and airline scheduling. Recent advances in data structures, computer technology, and algorithm development have made it possible to solve classes of network optimization problems that until recently were intractable. The refereed papers in this volume reflect the interdisciplinary efforts of a large group of scientists from academia and industry to model and solve complicated large-scale network optimization problems.


Identification, Analysis and Control of Discrete and Continuous Models of Gene Regulation Networks

Identification, Analysis and Control of Discrete and Continuous Models of Gene Regulation Networks
Author: Christian Breindl
Publisher:
Total Pages: 0
Release: 2016
Genre: Gene regulatory networks
ISBN: 9783832542832

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A systems biological approach towards cellular networks promises a better understanding of how these systems work. The development of mathematical models is however inherently complicated, as the involved molecules and their interactions are mostly difficult to measure. Focusing on gene regulation networks, this work therefore intends to provide systems theoretic tools that support the process of model development and analysis in presence of such incomplete knowledge. The contributions are threefold. First, the problem of identifying interconnections between genes from noisy data is addressed. Existing solutions formulated in a discrete framework are reviewed and simplified significantly with the help of tools from convex optimization theory. Second, a novel method for model verification and discrimination is introduced. It is based on concepts from robust control theory and allows to quantify the capability of a model to reproduce experimentally observed stationary behaviors. As the proposed formalism only requires a vague knowledge about the interactions between the molecules, the method is intended to test and compare early modeling hypotheses. Third, the problem of controlling gene regulation networks in presence of qualitative information only is studied. Methods from discrete event systems theory are adapted to obtain stimulation strategies that will steer the network toward a desired attractor. The benefits of all contributions are illustrated with examples in the individual chapters.


Advances in Probabilistic Graphical Models

Advances in Probabilistic Graphical Models
Author: Peter Lucas
Publisher: Springer
Total Pages: 386
Release: 2007-06-12
Genre: Mathematics
ISBN: 3540689966

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This book brings together important topics of current research in probabilistic graphical modeling, learning from data and probabilistic inference. Coverage includes such topics as the characterization of conditional independence, the learning of graphical models with latent variables, and extensions to the influence diagram formalism as well as important application fields, such as the control of vehicles, bioinformatics and medicine.


The Handbook of Brain Theory and Neural Networks

The Handbook of Brain Theory and Neural Networks
Author: Michael A. Arbib
Publisher: MIT Press
Total Pages: 1328
Release: 2003
Genre: Neural circuitry
ISBN: 0262011972

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This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).


Nonlinear Dynamics of Discrete and Continuous Systems

Nonlinear Dynamics of Discrete and Continuous Systems
Author: Andrei K. Abramian
Publisher: Springer Nature
Total Pages: 276
Release: 2020-11-02
Genre: Science
ISBN: 303053006X

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This book commemorates the 60th birthday of Dr. Wim van Horssen, a specialist in nonlinear dynamic and wave processes in solids, fluids and structures. In honor of Dr. Horssen’s contributions to the field, it presents papers discussing topics such as the current problems of the theory of nonlinear dynamic processes in continua and structures; applications, including discrete and continuous dynamic models of structures and media; and problems of asymptotic approaches.


Modeling and Simulation of Computer Networks and Systems

Modeling and Simulation of Computer Networks and Systems
Author: Faouzi Zarai
Publisher: Morgan Kaufmann
Total Pages: 965
Release: 2015-04-21
Genre: Computers
ISBN: 0128011580

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Modeling and Simulation of Computer Networks and Systems: Methodologies and Applications introduces you to a broad array of modeling and simulation issues related to computer networks and systems. It focuses on the theories, tools, applications and uses of modeling and simulation in order to effectively optimize networks. It describes methodologies for modeling and simulation of new generations of wireless and mobiles networks and cloud and grid computing systems. Drawing upon years of practical experience and using numerous examples and illustrative applications recognized experts in both academia and industry, discuss: Important and emerging topics in computer networks and systems including but not limited to; modeling, simulation, analysis and security of wireless and mobiles networks especially as they relate to next generation wireless networks Methodologies, strategies and tools, and strategies needed to build computer networks and systems modeling and simulation from the bottom up Different network performance metrics including, mobility, congestion, quality of service, security and more... Modeling and Simulation of Computer Networks and Systems is a must have resource for network architects, engineers and researchers who want to gain insight into optimizing network performance through the use of modeling and simulation. Discusses important and emerging topics in computer networks and Systems including but not limited to; modeling, simulation, analysis and security of wireless and mobiles networks especially as they relate to next generation wireless networks Provides the necessary methodologies, strategies and tools needed to build computer networks and systems modeling and simulation from the bottom up Includes comprehensive review and evaluation of simulation tools and methodologies and different network performance metrics including mobility, congestion, quality of service, security and more


Network Modeling, Simulation and Analysis in MATLAB

Network Modeling, Simulation and Analysis in MATLAB
Author: Dac-Nhuong Le
Publisher: John Wiley & Sons
Total Pages: 350
Release: 2019-08-06
Genre: Computers
ISBN: 1119631459

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The purpose of this book is first to study MATLAB programming concepts, then the basic concepts of modeling and simulation analysis, particularly focus on digital communication simulation. The book will cover the topics practically to describe network routing simulation using MATLAB tool. It will cover the dimensions’ like Wireless network and WSN simulation using MATLAB, then depict the modeling and simulation of vehicles power network in detail along with considering different case studies. Key features of the book include: Discusses different basics and advanced methodology with their fundamental concepts of exploration and exploitation in NETWORK SIMULATION. Elaborates practice questions and simulations in MATLAB Student-friendly and Concise Useful for UG and PG level research scholar Aimed at Practical approach for network simulation with more programs with step by step comments. Based on the Latest technologies, coverage of wireless simulation and WSN concepts and implementations