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Simulation of Stochastic Processes with Given Accuracy and Reliability

the new approaches and modern methods of simulation of stochastic processes, this book provides methods and tools in measuring accuracy and;

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Stochastic Processes: Modeling and Simulation

This sequel to volume 19 of Handbook on Statistics on Stochastic Processes: Modelling and Simulation is concerned mainly with the theme;

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Simulation and Chaotic Behavior of Alpha-stable Stochastic Processes

Presents new computer methods in approximation, simulation, and visualization for a host of alpha-stable stochastic processes.;

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Simulation and Chaotic Behavior of Alpha-stable Stochastic Processes

Presents new computer methods in approximation, simulation, and visualization for a host of alpha-stable stochastic processes.;

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Process Modelling and Simulation in Chemical, Biochemical and Environmental Engineering

treatment of model development and simulation studies for chemical, biochemical, and environmental processes, this book explains the simplification;

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Process Modelling and Simulation in Chemical, Biochemical and Environmental Engineering

treatment of model development and simulation studies for chemical, biochemical, and environmental processes, this book explains the simplification;

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Monte-carlo Methods and Stochastic Processes

focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear;

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Monte-Carlo Methods and Stochastic Processes

focuses on the simulation of stochastic processes in continuous time and their link with partial differential equations (PDEs). It covers linear;

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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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Mathematical Modeling

, deterministic and stochastic methods, and first-principle and empirical solutions. Complete range: The text continuously covers the complete range;

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Mathematical Modeling

, deterministic and stochastic methods, and first-principle and empirical solutions. Complete range: The text continuously covers the complete range;

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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

of modelling and simulation of biological processes at the molecular scale. Following an overview of deterministic chemical kinetics and the stochastic;

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Modern Simulation And Modeling

essential text for graduate students of DES and stochastic processes and for undergraduate students in simulation. It is also an excellent reference;

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Simulation and Inference for Stochastic Processes with Yuima: A Comprehensive R Framework for Sdes and Other Stochastic Processes

briefly the underlying theory for simulation and inference of several classes of stochastic processes and then presents both simulation;

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An Introduction To Stochastic Modeling

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and;

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Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink

models and run computer simulations of ecotoxicological processes. Designed for students and professionals with little or no experience;

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Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink

models and run computer simulations of ecotoxicological processes. Designed for students and professionals with little or no experience;

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Introduction to Stochastic Analysis

stochastic integration, rather than on abstract theories of measure and stochastic processes. The proofs are rather simple for practitioners and, at;

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Stochastic Modeling in Physical and Biological Sciences

of Markov Chains. This book elaborates continuous time stochastic processes for modeling purpose explaining in detail with examples and includes an;

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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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Numerical Methods For Stochastic Processes

new methods. Topics presented include Monte Carlo and quasi-Monte Carlo methods, the simulation of major stochastic processes and;

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Introduction to Computational Earthquake Engineering

numerical simulation of strong ground motion and faulting, respectively. Stochastic modeling is used for uncertain underground structures, and;

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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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Multiphase Phenomena and CFD Modeling and Simulation in Materials Processes

(CFD) modeling and simulation of engineering processes. This collection gathers papers from researchers and engineers involved in the modeling;

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Process Modeling, Simulation, and Environmental Applications in Chemical Engineering

into five sections: modeling and simulation environmental applications materials and applications processes and applications;

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Process Modeling, Simulation, and Environmental Applications in Chemical Engineering

processes and applications analytical methods Topics include: modeling and simulation of chemical processes;

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Guide to Simulation and Modeling for Biosciences

, differential equations, spatial simulations, and Gillespie's stochastic simulation algorithm; provides exercises; describes such useful tools as the;

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