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Dynamic Optimization, Seco

has defined dynamic optimization for courses in economics and management science. Simply, clearly, and succinctly written chapters;

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Evaluation of Text Summaries Based on Linear Optimization of Content Metrics

optimization, we propose SECO-SEVA as an automatic evaluation metric available for research purposes. Finally, the text finishes with a consideration;

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Arroyo Seco

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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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Learning and Intelligent Optimization

optimization problems. Special focus is given to algorithm selection and configuration, learning, fitness landscape, applications, dynamic optimization;

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Optimization in Engineering Sciences

The purpose of this book is to present the main methods of static and dynamic optimization. It has been written within the framework of the;

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Dynamic Economics

An integrated approach to the empirical application of dynamic optimization programming models, for students and researchers. This book;

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Optimization, Dynamics, and Economic Analysis

This book includes a collection of articles that present recent developments in the fields of optimization and dynamic game theory;

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Dynamic Optimization in Environmental Economics

The book presents new developments in the dynamic modeling and optimization methods in environmental economics and provides a huge range;

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Electric Power System Applications of Optimization

fundamental theories and theorems from functional optimization, optimal control, and dynamic programming to explain new Adaptive Dynamic Programming;

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Electric Power System Applications of Optimization

fundamental theories and theorems from functional optimization, optimal control, and dynamic programming to explain new Adaptive Dynamic Programming;

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Evolutionary Multi-Criterion Optimization

papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective;

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Industrial Methanol Reactor Dynamic Modeling and Optimization

model of industrial scale reactor is developed. In order to dynamic optimization of the reactor heterogeneous model of industrial reactor has;

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Structural Dynamic Systems Computational Techniques and Optimization

optimization problem is more difficult to formulate and solve, and computations are increased. This volume is a comprehensive treatment of dynamic;

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Elements of Numerical Mathematical Economics with Excel

Elements of Numerical Mathematical Economics with Excel: Static and Dynamic Optimization shows readers how to apply static and dynamic;

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Stochastic Optimization with Simulation Based Optimization

in stochastic dynamic risk optimization problems, where several important modification of the classical Bellman equation for stochastic dynamic problems;

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Distributed Optimization Game and Learning Algorithms

. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic;

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Particle Swarm Optimization

preferred tool in dynamic optimization.;

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Distributed Optimization Game and Learning Algorithms

. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic;

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Solving Optimization Problems with MATLAB (R)

This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied;

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Simulation-Based Optimization

dynamic simulation-based optimization. Covered in detail are model-free optimization techniques - especially designed for those discrete-event;

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Relative Optimization of Continuous-Time and Continuous-State Stochastic Systems

This monograph applies the relative optimization approach to time nonhomogeneous continuous-time and continuous-state dynamic systems. The;

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Relative Optimization of Continuous-Time and Continuous-State Stochastic Systems

This monograph applies the relative optimization approach to time nonhomogeneous continuous-time and continuous-state dynamic systems. The;

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Modeling, Computation And Optimization

optimization. It contains theory, computation as well as the applications of several mathematical models to problems in statistics, games, optimization;

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