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Mathematical Optimization and Modeling

Optimization theory and techniques are a primary area of study under applied mathematics. This book on mathematical optimization and;

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Modeling Simulation and Optimization

optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and;

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Modeling and Optimization: Theory and Applications

This book features a selection of contributions that were presented at the Modeling and Optimization: Theory and Applications Conference;

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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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Reliability Modeling, Analysis And Optimization

of important topics, including system reliability modeling, optimization, software reliability and quality, maintenance theory and inspection;

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Optimization in Engineering

of practical applications and optimization theory makes the text useful to both practitioners and students, and gives the reader a good sense of the;

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Computer Based Optimization Techniques

COMPUTER BASED OPTIMIZATION TECHNIQUES gives an overview of Operations Research, various optimization techniques and their applications;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technolog

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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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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Reliability Modeling With Applications

recent advancement in reliability theory and reliability engineering.Starting from maintenance policies, the book introduces reliability analysis;

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Optimization Concepts and Applications in Engineering

, increased competition and consumer demands require that the solutions be optimum and not just feasible. Theory leads to algorithms. Algorithms need;

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Stochastic Optimization

including financial modeling, risk management, and probabilistic risk analysis. Major topics in this volume include: (1) advances in theory and;

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Renewable Energy Systems

Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy;

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Predictive Modelling for Energy Management and Power Systems Engineering

familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and;

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Queueing Theory and Network Applications

This book constitutes the proceedings of the 13th International Conference on Queueing Theory and Network Applications, QTNA 2018, held;

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Applications of the Topological Derivative Method

The book presents new results and applications of the topological derivative method in control theory, topology optimization and inverse;

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Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications

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Design, Analysis and Applications of Renewable Energy Systems

systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems as conveyed by;

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Modeling and Optimization in Manufacturing - Toward Greener Production by Integrating Computer Simulation

Discover the state-of-the-art in multiscale modeling and optimization in manufacturing from two leading voices in the field Modeling;

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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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Probabilistic Design for Optimization and Robustness for Engineers

Probabilistic Design for Optimization and Robustness: * Presents the theory of modeling with variation using physical models and methods;

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Introduction to Online Convex Optimization, second edition

comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization. Introduction to Online Convex Optimization;

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Nonlinear and Mixed-Integer Optimization

elementary concepts of mixed-integer linear nonlinear optimization. Topics that are unique include the theory and methods for mixed-integer non;

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Optimization of Regional Industrial Structures and Applications

research and applications in industrial structure optimization. Employing grey systems theory as its method of analysis, it integrates grey systems;

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Mathematical Modelling, Optimization and Their Applications

Modelling and optimization are the key tools for scientific analysis of real life systems. In the present scenario, the applications;

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Recent Advances in Computational Optimization

Our everyday lives are practically unthinkable without optimization. We constantly try to minimize our effort and to maximize the reward or;

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