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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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Stochastic Simulation Optimization

comprehensive coverage of OCBA approach for stochastic simulation optimization. Starting with an intuitive explanation of computing budget allocation;

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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 Process Optimization using Aspen Plus (R)

in several case studies. Key Features: * The book links simulation and optimization through numerical analyses and stochastic;

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Stochastic Process Optimization using Aspen Plus (R)

. Key Features: * The book links simulation and optimization through numerical analyses and stochastic optimization techniques * Includes;

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Introduction To Stochastic Search And Optimization

real-world problems. Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control is a graduate-level introduction;

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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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Stochastic Hydrology and Its Use in Water Resources Systems Simulation and Optimization

for incorporating hydrological randomness and uncertainty into the simulation and optimization of water resources systems.;

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Black Box Simulation Optimization

The term 'simulation optimization' has become widespread in both academical and practical studies. One of the many reasons for this;

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Simulation-Based Optimization

Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning introduce the evolving area of static and;

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Optimization in Engineering Sciences

stochastic optimization, as well as methods and tools for computer-aided decision-making and simulation for decision-making.;

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Numerical Probability

recent developments such as the multilevel paradigm), stochastic optimization and approximation, discretization schemes of stochastic;

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Portfolio Optimization with Different Information Flow

Portfolio Optimization with Different Information Flow recalls the stochastic tools and results concerning the stochastic;

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Recent Advances In Stochastic Operations Research Ii

. Two key concepts in such research are optimization and uncertainty. Typical models in stochastic operations research include queueing models;

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Mean Field Simulation for Monte Carlo Integration

chain models, stochastic optimization, nonlinear filtering and multiple target tracking, stochastic optimization, calibration and uncertainty;

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Mean Field Simulation for Monte Carlo Integration

chain models, stochastic optimization, nonlinear filtering and multiple target tracking, stochastic optimization, calibration and uncertainty;

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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 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 Global Optimization

optimization has been receiving considerable attention in the past two decades. Of the two types of techniques for global optimization, stochastic;

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Simulation and the Monte Carlo Method

, and optimization. A second new chapter introduces the stochastic enumeration method, which is a new fast sequential Monte Carlo method for;

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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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Student Solutions Manual To Accompany Simulation And The Monte Carlo Method

for sensitivity analysis The stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization The cross;

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Modeling Simulation and Optimization

This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization;

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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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Operations Research Methodologies

, integer, and dynamic programming, networks, simulation, queuing, inventory, stochastic processes, and decision analysis. The book then explores;

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