Constructive Computation in Stochastic Models with Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 364211492X
Total Pages : 693 pages
Book Rating : 4.22/5 ( download)

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Book Synopsis Constructive Computation in Stochastic Models with Applications by : Quan-Lin Li

Download or read book Constructive Computation in Stochastic Models with Applications written by Quan-Lin Li and published by Springer Science & Business Media. This book was released on 2011-02-02 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Constructive Computation in Stochastic Models with Applications: The RG-Factorizations" provides a unified, constructive and algorithmic framework for numerical computation of many practical stochastic systems. It summarizes recent important advances in computational study of stochastic models from several crucial directions, such as stationary computation, transient solution, asymptotic analysis, reward processes, decision processes, sensitivity analysis as well as game theory. Graduate students, researchers and practicing engineers in the field of operations research, management sciences, applied probability, computer networks, manufacturing systems, transportation systems, insurance and finance, risk management and biological sciences will find this book valuable. Dr. Quan-Lin Li is an Associate Professor at the Department of Industrial Engineering of Tsinghua University, China.

随机模型构造性计算理论及其应用

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Publisher :
ISBN 13 : 9787302215011
Total Pages : 672 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis 随机模型构造性计算理论及其应用 by : Quan-Lin Li

Download or read book 随机模型构造性计算理论及其应用 written by Quan-Lin Li and published by . This book was released on 2010 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Constructive Computation in Stochastic Models with Applications: The RG-Factorizations' provides a unified, constructive and algorithmic framework for numerical computation of many practical stochastic systems. It summarizes recent important advances in computational study of stochastic models from several crucial directions, such as stationary computation, transient solution, asymptotic analysis, reward processes, decision processes, sensitivity analysis as well as game theory. Graduate students, researchers and practicing engineers in the field of operations research, management sciences, applied probability, computer networks, manufacturing systems, transportation systems, insurance and finance, risk management and biological sciences will find this book valuable. Dr. Quan-Lin Li is an Associate Professor at the Department of Industrial Engineering of Tsinghua University, China.

Fundamentals of Stochastic Models

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Publisher : CRC Press
ISBN 13 : 1000865967
Total Pages : 815 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Fundamentals of Stochastic Models by : Zhe George Zhang

Download or read book Fundamentals of Stochastic Models written by Zhe George Zhang and published by CRC Press. This book was released on 2023-05-18 with total page 815 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the topics easily understandable. Fundamentals of Stochastic Models offers many practical examples and applications and bridges the gap between elementary stochastics process theory and advanced process theory. It addresses both performance evaluation and optimization of stochastic systems and covers different modern analysis techniques such as matrix analytical methods and diffusion and fluid limit methods. It goes on to explore the linkage between stochastic models, machine learning, and artificial intelligence, and discusses how to make use of intuitive approaches instead of traditional theoretical approaches. The goal is to minimize the mathematical background of readers that is required to understand the topics covered in this book. Thus, the book is appropriate for professionals and students in industrial engineering, business and economics, computer science, and applied mathematics.

Stochastic Models in Reliability, Network Security and System Safety

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Publisher : Springer Nature
ISBN 13 : 981150864X
Total Pages : 497 pages
Book Rating : 4.46/5 ( download)

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Book Synopsis Stochastic Models in Reliability, Network Security and System Safety by : Quan-Lin Li

Download or read book Stochastic Models in Reliability, Network Security and System Safety written by Quan-Lin Li and published by Springer Nature. This book was released on 2019-10-21 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to Jinhua Cao on the occasion of his 80th birthday. Jinhua Cao is one of the most famous reliability theorists. His main contributions include: published over 100 influential scientific papers; published an interesting reliability book in Chinese in 1986, which has greatly influenced the reliability of education, academic research and engineering applications in China; initiated and organized Reliability Professional Society of China (the first part of Operations Research Society of China) since 1981. The high admiration that Professor Cao enjoys in the reliability community all over the world was witnessed by the enthusiastic response of each contributor in this book. The contributors are leading researchers with diverse research perspectives. The research areas of the book iclude a broad range of topics related to reliability models, queueing theory, manufacturing systems, supply chain finance, risk management, Markov decision processes, blockchain and so forth. The book consists of a brief Preface describing the main achievements of Professor Cao; followed by congratulations from Professors Way Kuo and Wei Wayne Li, and by Operations Research Society of China, and Reliability Professional Society of China; and further followed by 25 articles roughly grouped together. Most of the articles are written in a style understandable to a wide audience. This book is useful to anyone interested in recent developments in reliability, network security, system safety, and their stochastic modeling and analysis.

Matrix and Analytical Methods for Performance Analysis of Telecommunication Systems

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Publisher : Springer Nature
ISBN 13 : 3030831329
Total Pages : 316 pages
Book Rating : 4.25/5 ( download)

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Book Synopsis Matrix and Analytical Methods for Performance Analysis of Telecommunication Systems by : Valeriy Naumov

Download or read book Matrix and Analytical Methods for Performance Analysis of Telecommunication Systems written by Valeriy Naumov and published by Springer Nature. This book was released on 2022-02-15 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introductory textbook is designed for a one-semester course on the use of the matrix and analytical methods for the performance analysis of telecommunication systems. It provides an introduction to the modelling and analysis of telecommunication systems for a broad interdisciplinary audience of students in mathematics and applied disciplines such as computer science, electronics engineering, and operations research.

Computational Data and Social Networks

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Publisher : Springer
ISBN 13 : 3030046486
Total Pages : 544 pages
Book Rating : 4.84/5 ( download)

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Book Synopsis Computational Data and Social Networks by : Xuemin Chen

Download or read book Computational Data and Social Networks written by Xuemin Chen and published by Springer. This book was released on 2018-12-11 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Computational Data and Social Networks, CSoNet 2018, held in Shanghai, China, in December 2018. The 44 revised full papers presented in this book toghether with 2 extended abstracts, were carefully reviewed and selected from 106 submissions. The topics cover the fundamental background, theoretical technology development, and real-world applications associated with complex and data network analysis, minimizing in uence of rumors on social networks, blockchain Markov modelling, fraud detection, data mining, internet of things (IoT), internet of vehicles (IoV), and others.

Soft Computing for Problem Solving

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Publisher : Springer
ISBN 13 : 9811315922
Total Pages : 975 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis Soft Computing for Problem Solving by : Jagdish Chand Bansal

Download or read book Soft Computing for Problem Solving written by Jagdish Chand Bansal and published by Springer. This book was released on 2018-12-14 with total page 975 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume book presents outcomes of the 7th International Conference on Soft Computing for Problem Solving, SocProS 2017. This conference is a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), the Indian Institute of Technology Roorkee, the South Asian University New Delhi and the National Institute of Technology Silchar, and brings together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to select potential future directions The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in the areas including, but not limited to, algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.

Introduction to Matrix-Analytic Methods in Queues 2

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Publisher : John Wiley & Sons
ISBN 13 : 1786308231
Total Pages : 453 pages
Book Rating : 4.38/5 ( download)

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Book Synopsis Introduction to Matrix-Analytic Methods in Queues 2 by : Srinivas R. Chakravarthy

Download or read book Introduction to Matrix-Analytic Methods in Queues 2 written by Srinivas R. Chakravarthy and published by John Wiley & Sons. This book was released on 2022-10-18 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Matrix-analytic methods (MAM) were introduced by Professor Marcel Neuts and have been applied to a variety of stochastic models since. In order to provide a clear and deep understanding of MAM while showing their power, this book presents MAM concepts and explains the results using a number of worked-out examples. This book's approach will inform and kindle the interest of researchers attracted to this fertile field. To allow readers to practice and gain experience in the algorithmic and computational procedures of MAM, Introduction to Matrix-Analytic Methods in Queues 2 provides a number of computational exercises. It also incorporates simulation as another tool for studying complex stochastic models, especially when the state space of the underlying stochastic models under analytic study grows exponentially. This book's detailed approach will make it more accessible for readers interested in learning about MAM in stochastic models.

Queueing Theory and Network Applications

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Publisher : Springer
ISBN 13 : 3319685201
Total Pages : 335 pages
Book Rating : 4.05/5 ( download)

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Book Synopsis Queueing Theory and Network Applications by : Wuyi Yue

Download or read book Queueing Theory and Network Applications written by Wuyi Yue and published by Springer. This book was released on 2017-11-22 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 12th International Conference on Queueing Theory and Network Applications, QTNA 2017, held in Qinhuangdao, China, in August 2017. The 19 full papers included in this volume were carefully reviewed and selected from 65 initial submissions. They deal with queueing models; queueing applications; and network models.

Fundamentals of Matrix-Analytic Methods

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Publisher : Springer Science & Business Media
ISBN 13 : 1461473306
Total Pages : 363 pages
Book Rating : 4.05/5 ( download)

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Book Synopsis Fundamentals of Matrix-Analytic Methods by : Qi-Ming He

Download or read book Fundamentals of Matrix-Analytic Methods written by Qi-Ming He and published by Springer Science & Business Media. This book was released on 2013-08-13 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fundamentals of Matrix-Analytic Methods targets advanced-level students in mathematics, engineering and computer science. It focuses on the fundamental parts of Matrix-Analytic Methods, Phase-Type Distributions, Markovian arrival processes and Structured Markov chains and matrix geometric solutions. New materials and techniques are presented for the first time in research and engineering design. This book emphasizes stochastic modeling by offering probabilistic interpretation and constructive proofs for Matrix-Analytic Methods. Such an approach is especially useful for engineering analysis and design. Exercises and examples are provided throughout the book.