Network Algorithmics

Author: George Varghese
Editor: Morgan Kaufmann
ISBN: 0120884771
File Size: 47,70 MB
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In designing a network device, you make dozens of decisions that affect the speed with which it will perform-sometimes for better, but sometimes for worse. Network Algorithmics provides a complete, coherent methodology for maximizing speed while meeting your other design goals. Author George Varghese begins by laying out the implementation bottlenecks that are most often encountered at four disparate levels of implementation: protocol, OS, hardware, and architecture. He then derives 15 solid principles-ranging from the commonly recognized to the groundbreaking-that are key to breaking these bottlenecks. The rest of the book is devoted to a systematic application of these principles to bottlenecks found specifically in endnodes, interconnect devices, and specialty functions such as security and measurement that can be located anywhere along the network. This immensely practical, clearly presented information will benefit anyone involved with network implementation, as well as students who have made this work their goal. FOR INSTRUCTORS: To obtain access to the solutions manual for this title simply register on our textbook website (textbooks.elsevier.com)and request access to the Computer Science subject area. Once approved (usually within one business day) you will be able to access all of the instructor-only materials through the "Instructor Manual" link on this book's academic web page at textbooks.elsevier.com. Addresses the bottlenecks found in all kinds of network devices, (data copying, control transfer, demultiplexing, timers, and more) and offers ways to break them Presents techniques suitable specifically for endnodes, including Web servers Presents techniques suitable specifically for interconnect devices, including routers, bridges, and gateways Written as a practical guide for implementers but full of valuable insights for students, teachers, and researchers Includes end-of-chapter summaries and exercises

Network Algorithms Data Mining And Applications

Author: Ilya Bychkov
Editor: Springer Nature
ISBN: 3030371573
File Size: 49,82 MB
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This proceedings presents the result of the 8th International Conference in Network Analysis, held at the Higher School of Economics, Moscow, in May 2018. The conference brought together scientists, engineers, and researchers from academia, industry, and government. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics, economics, statistics, computer science, and engineering find this collection a valuable resource filled with the latest research in network analysis. Computational aspects and applications of large-scale networks in market models, neural networks, social networks, power transmission grids, maximum clique problem, telecommunication networks, and complexity graphs are included with new tools for efficient network analysis of large-scale networks. Machine learning techniques in network settings including community detection, clustering, and biclustering algorithms are presented with applications to social network analysis.

Fast Algorithms For Classical Network Problems

Author: Yadollah Kewmars Mohammad-Makki
Editor:
ISBN:
File Size: 23,24 MB
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Algorithmics Of Large And Complex Networks

Author: Jürgen Lerner
Editor: Springer
ISBN: 3642020941
File Size: 40,96 MB
Format: PDF
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Networks play a central role in today’s society, since many sectors employing information technology, such as communication, mobility, and transport - even social interactions and political activities - are based on and rely on networks. In these times of globalization and the current global financial crisis with its complex and nearly incomprehensible entanglements of various structures and its huge effect on seemingly unrelated institutions and organizations, the need to understand large networks, their complex structures, and the processes governing them is becoming more and more important. This state-of-the-art survey reports on the progress made in selected areas of this important and growing field, thus helping to analyze existing large and complex networks and to design new and more efficient algorithms for solving various problems on these networks since many of them have become so large and complex that classical algorithms are not sufficient anymore. This volume emerged from a research program funded by the German Research Foundation (DFG) consisting of projects focusing on the design of new discrete algorithms for large and complex networks. The 18 papers included in the volume present the results of projects realized within the program and survey related work. They have been grouped into four parts: network algorithms, traffic networks, communication networks, and network analysis and simulation.

Decentralized Network Algorithms

Author: Sujay Rajendra Sanghavi
Editor:
ISBN:
File Size: 56,72 MB
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Basic Graph And Network Algorithms

Author: Richard H. Mole
Editor: Butterworth-Heinemann
ISBN:
File Size: 26,13 MB
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Gigabit Networking

Author: Craig Partridge
Editor: Addison-Wesley Professional
ISBN: 9780201563337
File Size: 32,63 MB
Format: PDF, Kindle
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A professional reference that examines the gigabit per second computer networks that make it possible to share vast quantities of data among many computer systems. Key technologies, important protocols and applications, and the practical issues involved in implementing gigabit networks are all addressed, and where research is still incomplete, important unsolved issues are presented. Could also be used as a textbook for a graduate course on gigabit networking. Annotation copyright by Book News, Inc., Portland, OR

Artificial Neural Network Algorithms For Some Computer Vision Problems

Author: Yi-Tong Zhou
Editor:
ISBN:
File Size: 19,39 MB
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Data Structures And Network Algorithms

Author: Robert Endre Tarjan
Editor: SIAM
ISBN: 0898711878
File Size: 21,63 MB
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This book attempts to provide the reader with a practical understanding and appreciation of the field of graph algorithms.

Two Neural Network Algorithms For Designing Optimal Terminal Controllers With Open Final Time

Author: Edward S. Plumer
Editor:
ISBN:
File Size: 20,28 MB
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Algorithms And Models For Network Data And Link Analysis

Author: François Fouss
Editor: Cambridge University Press
ISBN: 1316712516
File Size: 35,41 MB
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Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences. MATLAB®/Octave code illustrating some of the algorithms will be available at: http://www.cambridge.org/9781107125773.

Algorithms For Network Programming

Author: Jeff L. Kennington
Editor: John Wiley & Sons
ISBN:
File Size: 42,80 MB
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Linear programming; the simplex method for network program; the out-of-kilter algorithm for the network program; the simplex method for the generalized network problem; the multicommodity network flow problem; the simplex method for the network with side constraints model; appendixes: characterization of a tree; data structures for network programs; convergence of subgradient optimization algorithm; projection operation for subgradient algorithm; a product form representation of the inverse of a multicommodity cycle matrix; NETFLO; references; index.

Proceedings Of The Annual Acm Siam Symposium On Discrete Algorithms

Author:
Editor:
ISBN:
File Size: 72,96 MB
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Algorithms

Author:
Editor:
ISBN:
File Size: 18,83 MB
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Application Of Neural Network Algorithms To Chemical Problems

Author: Silvia Amabilino
Editor:
ISBN:
File Size: 19,75 MB
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Interconnections

Author: Radia Perlman
Editor: Addison-Wesley Professional
ISBN: 9780201634488
File Size: 27,59 MB
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A text on networking theory and practice, providing information on general networking concepts, routing algorithms and protocols, addressing, and mechanics of bridges, routers, switches, and hubs. Describes all major network algorithms and protocols in use today, and explores engineering trade-offs that each different approach represents. Includes chapter homework problems and a glossary. This second edition is expanded to cover recent developments such as VLANs, Fast Ethernet, and AppleTalk. The author is a Distinguished Engineer at Sun Microsystems, Inc., and holds some 50 patents. Annotation copyrighted by Book News, Inc., Portland, OR

Network Flow Transportation And Scheduling Theory And Algorithms

Author: Masao
Editor: Academic Press
ISBN: 0080955665
File Size: 72,77 MB
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Network Flow, Transportation, and Scheduling; Theory and Algorithms

Algorithms Software Architecture

Author: Jan Leeuwen
Editor:
ISBN: 9780444897473
File Size: 48,98 MB
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Paperback. This volume presents contributed and invited papers presented in the following three program streams: Software Development and Maintenance, Algorithms and Efficient Computation, and From Architectures to ChipsThe papers on Software Engineering focus on formal methods, the usefulness of object-oriented system design, and the future of tools and environments. The papers on Efficient Algorithms address a wide range of algorithm design issues from text retrieval to e.g. parallel and distributed computing, and show considerable progress in the design of general techniques and algorithm libraries. The papers on Computer Architectures address developments in concurrent processing, formal design methods and languages, and performance aspects.

Network Programming

Author: Katta G. Murty
Editor:
ISBN:
File Size: 36,60 MB
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This book covers the significant advances in network flow methods ranging across modeling, applications, algorithms, their implementations, and computational complexity. It deals with the problems faced on network structures that can be handled by linear programming techniques or their adaptations. It is particularly useful for professionals involved in mathematical programming and linear programming in the areas of operations research, industrial engineering, other branches of engineering and business applications.

Network Flows Pearson New International Edition

Author: Ravindra K. Ahuja
Editor:
ISBN: 9781292042701
File Size: 55,81 MB
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Bringing together the classic and the contemporary aspects of the field, this comprehensive introduction to network flows provides an integrative view of theory, algorithms, and applications. It offers in-depth and self-contained treatments of shortest path, maximum flow, and minimum cost flow problems, including a description of new and novel polynomial-time algorithms for these core models. For professionals working with network flows, optimization, and network programming.