The Opnet User Guide for Practical Computer Network Simulation

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Stochastic scheduling is in the area of production scheduling. There is a dearth of work that analyzes the variability of schedules. In a stochastic environment, in which the processing time of a job is not known with certainty, a schedule is typically analyzed based on the expected value of a performance measure. This book addresses this problem and presents algorithms to determine the variability of a schedule under various machine configurations and objective functions. It is intended for graduate and advanced undergraduate students in manufacturing, operations management, applied mathematics, and computer science, and it is also a good reference book for practitioners. Computer software containing the algorithms is provided on an accompanying website for ease of student and user implementation.

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In a textbook for an undergraduate lecture-plus-laboratory course introducing communications systems, Kumar explains the background theory in simple terms and provides practical computer and hardware

Intended for network administrators familiar with IPv4 or TCP/IP, this guide explains the impact internet protocol version 6 (IPv6) has on configuring hosts, routing, the DNS, applications, security,

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Written for computer scientists, materials scientists, and others in fields related to nanotechnology, this reference explores recent efforts to realize a practical physical device that follows the ne

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English: An Essential Grammar is a concise and user-friendly guide to the grammar of modern English, written specifically for native speakers and based on genuine samples of contemporary spoken and wr

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Suitable for a one- or two-semester course for undergraduate and graduate students, this interdisciplinary textbook explains the diverse aspects of innovation and social networks, which occupy a central place in business and policy agendas. Its unified approach presents networks as nested systems that can span organisations, industries, regions, and markets, giving students a holistic perspective and reducing the amount of effort required to learn the theoretical framework for each layer. With engaging real-world examples, the text also provides a practical guide on how to manage networks to increase innovation and improve performance. Topics covered include forming teams to foster creativity, selecting partners and leveraging partnerships for learning, managing organisational change, and sponsoring technologies in communities. Students will learn the metrics used in social network analysis and how they are interpreted and applied. Suggested reading lists and online resources offer opp

Suitable for a one- or two-semester course for undergraduate and graduate students, this interdisciplinary textbook explains the diverse aspects of innovation and social networks, which occupy a central place in business and policy agendas. Its unified approach presents networks as nested systems that can span organisations, industries, regions, and markets, giving students a holistic perspective and reducing the amount of effort required to learn the theoretical framework for each layer. With engaging real-world examples, the text also provides a practical guide on how to manage networks to increase innovation and improve performance. Topics covered include forming teams to foster creativity, selecting partners and leveraging partnerships for learning, managing organisational change, and sponsoring technologies in communities. Students will learn the metrics used in social network analysis and how they are interpreted and applied. Suggested reading lists and online resources offer opp