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Structured Stochastic Matrices of M/G/1 Type and Their Applications

This book deals with Markov chains and Markov renewal processes (MG1 type). It discusses numerical difficulties which are apparently;

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Introduction to Queueing Systems with Telecommunication Applications

the introduction of the basic Markovian (from MM1 to MM1//N) and non-Markovian (MG1, GM1) queueing systems, a chapter presents the;

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Introduction to Queueing Systems with Telecommunication Applications

the introduction of the basic Markovian (from MM1 to MM1//N) and non-Markovian (MG1, GM1) queueing systems, a chapter presents the;

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Group Inverses of M-Matrices and Their Applications

, graph theory, electrical networks, and demographic models. Group Inverses of M-Matrices and Their Applications highlights the importance and;

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Exploiting Hidden Structure in Matrix Computations: Algorithms and Applications

Focusing on special matrices and matrices which are in some sense `near' to structured matrices, this volume covers a broad range of topics;

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Performance Analysis of Queuing and Computer Networks

, the MG1 system, and discrete time queues in computer networks. The author then proceeds to study networks of queues with exponential servers;

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Performance Analysis of Queuing and Computer Networks

, the MG1 system, and discrete time queues in computer networks. The author then proceeds to study networks of queues with exponential servers;

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Combinatorial Matrix Classes

of combinatorial significance. Several classes of matrices are thoroughly developed including the classes of matrices of 0's and 1's with a specified;

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Projective Representations And Spin Characters Of Complex Reflection Groups G(m,p,n) And G(m,p, )

groups, and their child groups, G(m,p,n), G(m,p, ),(p m, p>1). Also we treat explicitly a case of spin type in connection with the case of non;

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Stochastic Modeling and Analysis of Telecom Networks

, stability criteria, performance measures and comparison principles are obtained for a wide class of models, from the canonical MM1 and GG1;

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Matrix Computations and Semiseparable Matrices V 1

In recent years several new classes of matrices have been discovered and their structure exploited to design fast and accurate algorithms;

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Hadamard Matrices

relative Gauss sums Cyclotomic numbers Plug-in matrices, arrays, sequences and M-structure Galois rings and Menon Hadamard differences sets Paley;

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Structured Dependence between Stochastic Processes

The relatively young theory of structured dependence between stochastic processes has many real-life applications in areas including;

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Matrix Computations and Semiseparable Matrices - Eigenvalve and Singular Value Methods V2

The general properties and mathematical structures of semiseparable matrices were presented in volume 1 of Matrix Computations and;

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Probability, Markov Chains, Queues, and Simulation

MG1 and GM1 queues are solved using embedded Markov chains; the busy period, residual service time, and priority scheduling are treated;

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Nonnegative Matrices, Positive Operators, And Applications

Nonnegative matrices and positive operators are widely applied in science, engineering, and technology. This book provides the basic theory;

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Matrix Positivity

relations. The matrix classes emphasized in this book include the classes of semipositive matrices, P-matrices, inverse M-matrices, and copositive;

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Semimartingales and their Statistical Inference

stochastic processes a well-recognized and important branch of statistics and probability. The class of semimartingales includes a large class;

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Semimartingales and Their Statistical Inference

stochastic processes a well-recognized and important branch of statistics and probability. The class of semimartingales includes a large class;

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Stochastic Approximation and Recursive Algorithms and Applications

This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both;

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Stochastic Approximation and Recursive Algorithms and Applications

This book presents a thorough development of the modern theory of stochastic approximation or recursive stochastic algorithms for both;

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Structured Matrices

Matrices with structure are encountered in a wide variety of problems in pure and applied mathematics, and in engineering. Matrix patterns;

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Stochastic Partial Differential Equations

sections on the Levy type of stochastic integrals and the related stochastic differential equations in finite dimensions Discussions of Poisson;

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Toeplitz Operators and Related Topics

of finite sections of Toeplitz matrices and their generalizations, the Fisher-Hartwig conjecture, random matrices, analysis of kernels of Toeplitz;

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Totally Positive Matrices

positive matrices, full proofs and a complete bibliography. The history of the subject is also described: in particular, the book ends with a;

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Advanced Mathematical Tools for Automatic Control Engineers: Volume 2

stochastic maximum principle. Provides comprehensive theory of matrices, real, complex and functional analysisProvides practical;

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The Elements of Integration and Lebesgue Measure

Natural Sciences Robert G. Bartle The Elements of Integration and Lebesgue Measure George E. P. Box & George C. Tiao Bayesian Inference;

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