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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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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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Stochastic Optimization Methods: Applications in Engineering and Operations Research

differentiation formulas for probabilities and expectations. In the third edition, this book further develops stochastic optimization methods;

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Adaptive Stochastic Optimization Techniques with Applications

Adaptive Stochastic Optimization Techniques with Applications provides a single, convenient source for state-of-the-art information on;

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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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Designing Engineering Structures using Stochastic Optimization Methods

, there are limitations in using traditional methods. As such, stochastic optimization methods such as differential evolution, simulated annealing;

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Optimization Methods and Applications: In Honor of Ivan V. Sergienko's 80th Birthday

illustrates optimization models and solution methods in discrete, non-differentiable, stochastic, and nonlinear optimization. Contributions from;

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Control and Boundary Analysis

This volume comprises selected papers from the 21st Conference on System Modeling and Optimization in Sophia Antipolis, France. It covers;

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Control and Boundary Analysis

This volume comprises selected papers from the 21st Conference on System Modeling and Optimization in Sophia Antipolis, France. It covers;

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Introduction to Stochastic Programming

The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently;

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Introduction to Stochastic Programming

The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently;

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Stochastic Process Optimization using Aspen Plus (R)

Stochastic Process Optimization using Aspen (R) Plus Bookshop Category: Chemical Engineering Optimization can be simply;

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Stochastic Process Optimization using Aspen Plus (R)

Stochastic Process Optimization using Aspen (R) Plus Bookshop Category: Chemical Engineering Optimization can be simply defined as;

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Flexible and Generalized Uncertainty Optimization

This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory;

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Flexible and Generalized Uncertainty Optimization

This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory;

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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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Stochastic Simulation Optimization For Discrete Event Systems

of stochastic simulation optimization for complex discrete event systems. This book will introduce two important techniques initially proposed and;

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Stochastic Modeling of Microstructures

This book is for a general scientific and engineering audience as a guide to current ideas, methods, and models for stochastic modeling;

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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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Ant Colony Optimization

, reaching a position of an essential nature-inspired stochastic metaheuristic for optimization of critical problems. This book offers state-of-the;

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Advanced Optimization for Process Systems Engineering

-integer and generalized disjunctive programming), optimization under uncertainty (stochastic programming and flexibility analysis), and;

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Analytical and Stochastic Modeling Techniques and Applications

-aware optimization; stochastic modeling for systems biology; biologically inspired network design.;

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Multistage Stochastic Optimization

Multistage stochastic optimization problems appear in many ways in finance, insurance, energy production and trading, logistics and;

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Reliability Modeling With Applications

to systems using stochastic processes to study their optimization problems. In this book, the authors will illustrate how these techniques;

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Dynamics of Large Structures and Inverse Problems

integrates the most recent ideas from research and industry in the field of stochastic dynamics and optimization in structural mechanics over 11;

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