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Path Problems in Networks

The algebraic path problem is a generalization of the shortest path problem in graphs. Various instances of this abstract problem have;

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Linear Programming and Algorithms for Communication Networks

shortest path problem, max flow problem, and minimum-cost flow problem, the book covers the fundamentals of linear programming and integer linear;

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Linear Programming and Algorithms for Communication Networks

shortest path problem, max flow problem, and minimum-cost flow problem, the book covers the fundamentals of linear programming and integer linear;

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Shortest Path Solvers. From Software to Wetware

This book offers advanced parallel and distributed algorithms and experimental laboratory prototypes of unconventional shortest path;

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Path Routing in Mesh Optical Networks

, bandwidth brokering, and optical virtual private networks that open up new opportunities for service providers and their customers alike. Path;

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Network Reliability and Algebraic Structures

, reliability covering problems, and stochastic path problems. The result is a book which will be an invaluable account of the subject for all;

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Time-Varying Network Optimization

including the shortest path problem, the minimum-spanning tree problem, the maximum flow problem, and many more. The time-varying traveling salesman;

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Networks in Action

One of the most well-known of all network optimization problems is the shortest path problem, where a shortest connection between two;

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Energy-Latency Trade-Offs in Real-Time Wireless Sensor Networks

constraints. Using advanced techniques, such as sample path analysis and Receding Horizon Control, we address both off-line and on-line scenarios and;

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Recent Progress in Artificial Neural Networks

identification, among many others. This book contains some path-breaking studies in the field of artificial neural networks. The ever-growing need;

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Video over Cognitive Radio Networks

This book focuses on the problem of video streaming over emerging cognitive radio (CR) networks. The;...

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Parallel Computing Using Reversible Quantum Systolic Networks & their Super-Fast Array Entanglement

In quantum computing, and because all of the states of the quantum system can exist simultaneously, all of the paths of the quantum;

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Deep Learning with Python

and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems;

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Deep Learning with Python

how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world;

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Computer Networks

some path-breaking studies in the field of computer networks. Also included in this book is a detailed explanation of the various concepts and;

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Neural Networks for Robotics

of obstacles, cost mapping of environments, path planning, and vision to low level control. These methodologies include real-life scenarios to;

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Neural Networks for Robotics

of obstacles, cost mapping of environments, path planning, and vision to low level control. These methodologies include real-life scenarios to;

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Repetitive Project Scheduling: Theory and Methods

Path Method (CPM). As projects with significant levels of repetitive scheduling are common in construction and engineering;

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Robust Resource Allocation in Future Wireless Networks

This book presents state-of-the-art research on robust resource allocation in current and future wir;...

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Network Optimization

Topics include optimal branching problems, trans-shipment problems, shortest path problems, minimum cost flow problems, maximum flow;

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Troubleshooting Cisco Nexus Switches and NX-OS

architecture, helping you troubleshoot both control plane forwarding and data plane/data path problems and use NX-OS APIs to automate and simplify;

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Core and Metro Networks

aspects of core and metro networks supporting future broadband services, and a detailed description of the state-of-the-art Presents a clear path;

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Evolutionary Economics and Path Dependence

Evolutionary Economics and Path Dependence presents important new theoretical and empirical work on economic change, learning processes;

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Practices for Network Management: In Search of Collaborative Advantage

. In so doing, it proposes a novel system-framework and establishes a path towards a networks-as-practice view on inter-organizational;

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Deep Learning with R for Beginners

applications in several domains, while R is the preferred language for designing and deploying deep learning models. This Learning Path introduces you;

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Handbook of Distributed Sensor Networks

Some of the applications that have been derived from sensor networks can be found in the field of tr;...

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Handbook of Distributed Sensor Networks

Some of the applications that have been derived from sensor networks can be found in the field of tr;...

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