Stochastic Network Models in Innovative Projecting: Alternative stochastic network projects

Stochastic Network Models in Innovative Projecting: Alternative stochastic network projects PDF

Author: Dmitriĭ Isaakovich Golenko

Publisher:

Published: 2014

Total Pages: 0

ISBN-13: 9781621740902

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The book presents a unification of the most essential models to monitor stochastic network projects of innovative nature. The book comprises various control models for different kinds of projects with stochastic structure, including constrained project scheduling models with various resource delivery schedules. The backbone of the monograph centers on single-level and hierarchical alternative stochastic network models. The book is widely illustrated with examples.The monograph is intended for researchers in innovation-oriented design offices and companies, academic institutions as well as for graduate scholars specializing in "Project Management", "Industrial Engineering" and "Operations Research".

Stochastic Network Models in Innovative Projecting

Stochastic Network Models in Innovative Projecting PDF

Author: D. Golenko-Ginzburg

Publisher:

Published: 2014-01-31

Total Pages:

ISBN-13: 9781621740469

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The book presents a unification of the most essential models to monitor stochastic network projects of innovative nature. The book comprises various on-line control models for different kinds of projects with fixed structure and constrained project scheduling models with various resource delivery schedules. The book is widely illustrated with examples. The monograph is intended for researchers in innovation-oriented design offices and companies, academic institutions as well as for graduate scholars specializing in "Project Management", "Industrial Engineering" and "Operations Research".

Distributions in Stochastic Network Models

Distributions in Stochastic Network Models PDF

Author: Gurami Shalvovich T︠S︡it︠s︡iashvili

Publisher: Nova Publishers

Published: 2008

Total Pages: 90

ISBN-13: 9781604561432

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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.

Stochastic Networks and Queues

Stochastic Networks and Queues PDF

Author: Philippe Robert

Publisher: Springer Science & Business Media

Published: 2013-04-17

Total Pages: 406

ISBN-13: 3662130521

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Queues and stochastic networks are analyzed in this book with purely probabilistic methods. The purpose of these lectures is to show that general results from Markov processes, martingales or ergodic theory can be used directly to study the corresponding stochastic processes. Recent developments have shown that, instead of having ad-hoc methods, a better understanding of fundamental results on stochastic processes is crucial to study the complex behavior of stochastic networks. In this book, various aspects of these stochastic models are investigated in depth in an elementary way: Existence of equilibrium, characterization of stationary regimes, transient behaviors (rare events, hitting times) and critical regimes, etc. A simple presentation of stationary point processes and Palm measures is given. Scaling methods and functional limit theorems are a major theme of this book. In particular, a complete chapter is devoted to fluid limits of Markov processes.

Stochastic Networks

Stochastic Networks PDF

Author: Zachary Ziedins Kelly

Publisher: Clarendon Press

Published: 1996

Total Pages: 366

ISBN-13: 9780198523994

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The theory of stochastic networks is an important and rapidly developing research area, driven in part by important industrial applications in the design and control of modern communications and manufacturing networks. This volume is a collections of invited papers written by some of theleading researchers in this field, and provides a comprehensive survey of current research and the very latest developments. With contributions from most of the world's foremost researchers the areas covered include the mathematical modelling and the optimal control of queueing and loss networks,and the statistical modelling and analysis of network data. Also containing a comprehensive and up-to-date bibliography of the statistical literature on long-range dependence and self-similarity in network traffic and other scientific and engineering applications this book will suit researchers,research institutes and industry throughout the world.

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