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Reliability Modeling With Applications

of reliability are applied to solve optimization problems in computer, information and network systems.;

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Reliability Modeling, Analysis And Optimization

research on system modeling and optimization in reliability and its applications.The book comprises twenty-three chapters organized into four parts;

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Stochastic Analysis, Stochastic Systems, And Applications To Finance

of the book discusses some up-to-date applications of optimization theories, martingale measure theories, reliability theories, stochastic;

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Reliability-based Structural Design

method, reliability analysis via stochastic expansion, and optimization under uncertainty. It examines the use of stochastic expansions;

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Stochastic Reliability Modeling, Optimization And Applications

techniques of stochastic processes. There exist optimization problems in computer and management sciences and engineering. It is shown that such;

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Adaptive Stochastic Optimization Techniques with Applications

optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. Presenting modern advances in static and dynamic;

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Dynamics of Large Structures and Inverse Problems

chapters. These chapters provide an update on the various tools for dealing with uncertainties, stochastic dynamics, reliability and optimization;

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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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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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Recent Advancements in Software Reliability Assurance

modeling for software reliability and various methods and applications of multi attributed decision making in governing the software performance;

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Recent Advancements in Software Reliability Assurance

modeling for software reliability and various methods and applications of multi attributed decision making in governing the software performance;

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Probability and Statistics with Reliability, Queuing, and Computer Science Applications

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;

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Stochastic Orders in Reliability and Risk

Stochastic Orders in Reliability and Risk Management is composed of 19 contributions on the theory of stochastic orders, stochastic;

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Modeling, Computation And Optimization

of advertising, application of reliability models in economics, support vector machines, optimization, complementarity modeling and games.;

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Probability and Statistics with Reliability, Queuing and Computer Science Applications

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;

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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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Multi-Objective Optimization In Chemical Engineering

Multi-objective optimization (MOO) is an essential tool for improving the performance, energy efficiency, profitability, safety, and;

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Stochastic Global Optimization

, thus, shows significant promise and potential for process optimization.So far, there are no books focusing on stochastic global optimization;

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Reliability and Optimization of Structural Systems

Focussing on structural reliability methods, reliability-based optimization, structural system reliability and risk analysis, lifetime;

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Stochastic Processes

stochastic processes is indispensable. As well as providing readers with useful reliability studies and applications, Stochastic Processes also;

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Reliability and Optimization of Structural Systems

Conference of the International Federation of Information Processing (IFIP) Working Group 7.5 on Reliability and Optimization of Structural Systems;

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Optimization Under Stochastic Uncertainty

This book examines application and methods to incorporating stochastic parameter variations into the optimization process to decrease;

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Optimization Under Stochastic Uncertainty

This book examines application and methods to incorporating stochastic parameter variations into the optimization process to decrease;

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Recent Advances In Stochastic Modeling And Data Analysis

This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover;

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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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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

Stochastic global optimization methods and applications to chemical, biochemical, pharmaceutical and environmental processes presents;

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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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