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Stochastic queue location problems

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Discrete Location Theory

problems; the uncapacitated facility location problem; the p-median problem; location of mobile units in a stochastic environment; covering;

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Stochastic Network Optimization With Application to Communication and Queueing Systems

the following: Queue stability theory; Backpressure, max-weight, and virtual queue methods; Primal-dual methods for non-convex stochastic;

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Queueing Systems

Systems Markovian Queues The Queue M/G/1 The Queue G/M/m The Queue G/G/1;

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Performance Analysis of Queuing and Computer Networks

stochastic processes. After an introduction to queues in computer networks, this self-contained book covers important random variables, such as;

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Performance Analysis of Queuing and Computer Networks

stochastic processes. After an introduction to queues in computer networks, this self-contained book covers important random variables, such as;

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Stochastic Modeling and Analysis of Telecom Networks

. Introduction. Part 1: Discrete-time Modeling 2. Stochastic Recursive Sequences. 3. Markov Chains. 4. Stationary Queues. 5. The M/GI/1 Queue. Part;

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Lectures on Stochastic Programming

Optimization problems involving stochastic models occur in almost all areas of science and engineering, such as telecommunications;

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Stochastic Analysis and Applications

This volume attempts to exhibit current research in stochastic integration, stochastic differential equations, stochastic optimization and;

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Asymptotic Methods and Stochastic Models in Problems of Wave Propagation

Asymptotic Methods and Stochastic Models in Problems of Wave Propagation is een boek van American Mathematical Society;

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Stochastic Analysis and Applications

This volume attempts to exhibit current research in stochastic integration, stochastic differential equations, stochastic optimization and;

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Stochastic Partial Differential Equations

been a surge of interest in stochastic partial differential equations (PDEs) driven by the Levy type of noise. Stochastic Partial Differential;

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Advances in Linear Stochastic Programming

Multi-stage Stochastic Programming (MSP) has many practical applications for solving problems whose current resolution must be made while;

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Stochastic Cauchy Problems in Infinite Dimensions

Stochastic Cauchy Problems in Infinite Dimensions: Generalized and Regularized Solutions presents stochastic differential equations for;

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Stochastic Partial Differential Equations

As a relatively new area in mathematics, stochastic partial differential equations (PDEs) are still at a tender age and have not yet;

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Stochastic Optimization Methods: Applications in Engineering and Operations Research

stochastic uncertainty are converted into appropriate deterministic substitute problems. Due to the probabilities and expectations involved, the;

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Stochastic Optimization with Simulation Based Optimization

Stochastic optimization is vital to making sound engineering and business decisions under uncertainty. While the limited capability;

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Difference and Differential Equations with Applications in Queueing Theory

, difference equations, and Markovian queues. Featuring a comprehensive collection of topics that are used in stochastic processes, particularly;

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Stochastic Differential Equations And Applications

This text develops the theory of systems of stochastic differential equations, and it presents applications in probability, partial;

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Numerical Methods For Stochastic Processes

Stochastic models deal with mathematical expectations (the probability of events, variance, etc). This study deals with the calculation;

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Stability Problems for Stochastic Models

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Numerical Methods for Stochastic Control Problems in Continuous Time

Stochastic control is a very active area of research. This monograph, written by two leading authorities in the field, has been updated to;

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Stochastic Programming

This book is concerned with fostering theoretical issues on stochastic programming and discussing how it can solve real life problems. The;

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Descent Directions and Efficient Solutions in Discretely Distributed Stochastic Programs

expected costs arising from the deviation between the output of a stochastic linear system and a desired stochastic target vector are minimal;

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Location Science

This book presents essential information on modern location science - in a word, all you need to know about location. The second edition;

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Location Science

This book presents essential information on modern location science - in a word, all you need to know about location. The second edition;

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Performance Guarantees in Communication Networks

for providing deterministic (hard) guarantees, such as bounded delay and queue length. The filtering theory is developed under the min-plus;

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