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On Stochastic Optimization Problems and an Application in Finance

Josef Anton Strini analyzes a special stochastic optimal control problem. The problem under study arose from a dynamic cash management;

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Stochastic Process Optimization using Aspen Plus (R)

optimization techniques * Includes use of examples to illustrate the application of the concepts and specific guidance on the use of software;

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Stochastic Process Optimization using Aspen Plus (R)

combined use of the modular simulator Aspen (R) Plus and stochastic optimization methods, codified in MATLAB, is presented. Some basic concepts;

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Lectures on Stochastic Programming

Optimization problems involving stochastic models occur in almost all areas of science and engineering, such as telecommunications;

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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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Multistage Stochastic Optimization

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

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Introduction To Stochastic Search And Optimization

to the principles, algorithms, and practical aspects of stochastic optimization, including applications drawn from engineering, statistics;

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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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Stochastic Optimization with Simulation Based Optimization

of handling complex domain structures and random variables renders analytic methods helpless in many circumstances, stochastic optimization based on;

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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 Methods: Applications in Engineering and Operations Research

problems are needed. Based on the probability distribution of the random data and using decision theoretical concepts, optimization problems under;

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Introduction to Stochastic Analysis

This is an introduction to stochastic integration and stochastic differential equations written in an understandable way for a wide;

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Stochastic Models, Statistics and Their Applications

, and stochastic models in engineering. Stochastic models and related statistical procedures play an important part in furthering our;

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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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Global Optimization

study and shows the potential and high practical relevance of this new approach. Global Optimization: A Stochastic Approach is an;

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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 Analysis and Applications

This volume attempts to exhibit current research in stochastic integration, stochastic differential equations, stochastic optimization and;

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Numerical Solution of Stochastic Differential Equations with Jumps in Finance

-mentioned work and provides an introduction to stochastic differential equations with jumps, in both theory and application, emphasizing the;

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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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Fast Sequential Monte Carlo Methods for Counting and Optimization

enumeration. Focusing on the concepts and application of Monte Carlo techniques, Fast Sequential Monte Carlo Methods for Counting and Optimization;

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Designing Engineering Structures using Stochastic Optimization Methods

designed. Many new engineering design applications based on stochastic optimization techniques in automotive, energy, military, naval;

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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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Electromagnetic Optimization By Genetic Algorithms

search procedures modeled on the Darwinian concepts of natural selection and evolution. The machinery of genetic algorithms utilizes an;

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Principles in Noisy Optimization

for dealing with stochastic noise in optimization problems are covered in journals and conference proceedings, today there are virtually no;

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Differential Evolution In Chemical Engineering

Optimization plays a key role in the design, planning and operation of chemical and related processes for several decades. Techniques for;

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