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Modeling and Management of Stochastic Systems

crucial role in a number of scientific and applied disciplines including engineering, finance, communications and medicine. Stochastic modeling;

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Stochastic Modeling And Analytics In Healthcare Delivery Systems

of healthcare system stochastic modeling, simulation, optimization and management, this is a valuable read.;

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Stochastic Optimization

Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic;

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Handbook of Stochastic Models and Analysis of Manufacturing System Operations

, logistics and supply chain management, and integrated productivity and quality models covering: * Stochastic modeling and analysis;

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Analytical and Stochastic Modeling Techniques and Applications

This book constitutes the refereed proceedings of the 20th International Conference on Analytical and Stochastic Modelling and Applications;

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Stochastic Modeling and Analysis of Telecom Networks

as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability;

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Performance Modeling and Engineering

calculus, stochastic comparison, optimization, control theory, machine learning and information theory. The app- cation areas extended from;

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Nonlinear Dynamics and Stochastic Mechanics

Engineering systems have played a crucial role in stimulating many of the modern developments in nonlinear and stochastic dynamics. After;

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Dependability of Networked Computer based Systems

variety of dependability modeling methods: stochastic processes, Markov and semi-Markov models, response-time distribution, stochastic;

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Stochastic Biomathematical Models

systems. Recent advances in stochastic analysis and increasing computing power facilitate the analysis of more biophysically realistic models, and;

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An Introduction To Stochastic Dynamics

introduces the basic tools from probability and analysis and then develops for stochastic systems the properties traditionally calculated for;

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Introduction To Stochastic Dynamics

introduces the basic tools from probability and analysis and then develops for stochastic systems the properties traditionally calculated for;

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Linear Stochastic Systems

of stochastic linear systems, together with their interrelationships. The author first covers the foundations of linear stochastic systems and then;

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Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty

stochastic and robust optimal operation of integrated multi-energy systems Evaluates MPC based, real-time dispatch of integrated multi;

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Modeling and Analysis of Stochastic Systems

Building on the author's more than 35 years of teaching experience, Modeling and Analysis of Stochastic Systems, Third Edition, covers the;

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Modeling and Analysis of Stochastic Systems

Building on the author's more than 35 years of teaching experience, Modeling and Analysis of Stochastic Systems, Third Edition, covers the;

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Stochastic Analysis, Stochastic Systems, And Applications To Finance

with the analysis of stochastic dynamical systems, in terms of Gaussian processes, white noise theory, and diffusion processes. The second part;

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Stochastic Modeling in Broadband Communications Systems

. Stochastic Modeling in Broadband Communications Systems provides a concise overview of stochastic models and mathematical techniques for solving;

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Analytical and Stochastic Modeling Techniques and Applications

This book constitutes the refereed proceedings of the 18th International Conference on Analytical and Stochastic Modeling Techniques and;

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Time Series Analysis

models, discusses their theoretical characteristics, and explores the connections among stochastic dynamic models. Emphasizing the time domain;

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Stochastic Modeling and Optimization

This books covers the broad range of research in stochastic models and optimization. Applications presented include networks, financial;

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Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected;

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Applications of Stochastic Programming

Research on algorithms and applications of stochastic programming, the study of procedures for decision making under uncertainty over time;

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Stochastic Volatility Modeling

practicalities of modeling local volatility, stochastic volatility, local-stochastic volatility, and multi-asset stochastic volatility. In the course;

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Modeling, Analysis, Design and Control of Stochastic Systems

An introductory level text on stochastic modelling, suited for undergraduates or graduates in actuarial science, business management;

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Modern Simulation And Modeling

management. The book begins with the basics of conventional simulation, then proceeds to modern simulation-treating sensitivity analysis and;

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Modeling Cellular Systems

contributions cover signaling pathways, stochastic effects, cell motility and mechanics, pattern formation processes, as well as multi-scale approaches;

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