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Matrix-Analytic Methods in Stochastic Models
Based on the proceedings of the first International Conference on Matrix-Analytic Methods (MAM) in Stochastic Models, held in Flint, Michigan, this book presents a general working knowledge of MAM through tutorial articles and application papers. It furnishes information on MAM studies carried out in the former Soviet Union.
The Paths To Immortal
With his every move, the world is turned upside down!
The Routledge History of Chinese Philosophy
The History of Chinese Philosophy is a comprehensive and authoritative examination of the movements and thinkers that have shaped Chinese philosophy over the last three thousand years. An outstanding team of international contributors provide seventeen accessible entries organised into five clear parts: Identity of Chinese Philosophy Classical Chinese Philosophy (I): Pre-Han Period Classical Chinese Philosophy (II): From Han Through Tang Classical Chinese Philosophy (III): From Song Through Early Qing Modern Chinese Philosophy: From Late Qing Through 21st Century This outstanding collection is essential reading for students of Chinese philosophy, and will be of interest to those seeking to explore the lasting significance this rich and complex philosophical tradition.
Marriage, Gender and Sex in a Contemporary Chinese Village
This book explores changing concepts of marriage and gender relationships and attitudes toward sex in a rural Chinese community over the past five decades. The book is based on a study of an industrialized peasant village in Guangdong Province from 1994 to 1996 and subsequent visits from 2000 to 2002. According to the authors, the rural economic reforms of the 1980s in southern China have challenged and reinforced the deep structure of Chinese familism and this has lead to tensions between tradition and modernity. The first section of the book explores how attitudes toward marriage and courtship have changed over the past fifty years through personal accounts of three different marriages from different generations. In Part II, the transition from a traditional to a modern society is discussed from the perspective of several women from different generations. The third section focuses on sexual relationships and the growing sex trade in the village. Part IV includes updates to the original survey and takes a look at village politics.
Matrix-analytic Methods
Matrix-analytic methods are fundamental to the analysis of a family of Markov processes rich in structure and of wide applicability. They are extensively used in the modelling and performance analysis of computer systems, telecommunication networks, network protocols and many other stochastic systems of current commercial and engineering interest.This volume deals with: (1) various aspects of the theory of block-structured Markov chains; (2) analysis of complex queueing models; and (3) parameter estimation and specific applications to such areas as cellular mobile systems, FS-ALOHA, the Internet and production systems.
Fundamentals of Matrix-Analytic Methods
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.
Materials Science, Computer and Information Technology
Selected, peer reviewed papers from the 2014 4th International Conference on Materials Science and Information Technology (MSIT 2014), June 14-15, 2014, Tianjin, China
Fundamentals of Stochastic Models
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.
Matrix-Analytic Methods in Stochastic Models
Matrix-analytic and related methods have become recognized as an important and fundamental approach for the mathematical analysis of general classes of complex stochastic models. Research in the area of matrix-analytic and related methods seeks to discover underlying probabilistic structures intrinsic in such stochastic models, develop numerical algorithms for computing functionals (e.g., performance measures) of the underlying stochastic processes, and apply these probabilistic structures and/or computational algorithms within a wide variety of fields. This volume presents recent research results on: the theory, algorithms and methodologies concerning matrix-analytic and related methods in ...
Peterson's Graduate Programs in Engineering Design, Engineering Physics, Geological, Mineral/Mining, & Petroleum Engineering, and Industrial Engineering 2011
Peterson's Graduate Programs in Engineering Design; Engineering Physics; Geological, Mineral/Mining, & Petroleum Engineering; and Industrial Engineering contains a wealth of information on colleges and universities that offer graduate degrees in these exciting fields. The profiled institutions include those in the United States, Canada, and abroad that are accredited by U.S. accrediting bodies. Up-to-date data, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccalaureate distance degrees, faculty, students, ...
