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Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R)

Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R) provides an introductory course on nonlinear optimization;

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MATLAB

in MATLAB for engineers. The classical methods of electrical circuits,control systems, numerical methods, optimization, direct numerical;

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Numerical And Analytical Methods With Matlab For Electrical

Combining academic and practical approaches to this important topic, Numerical and Analytical Methods with MATLAB (R) for Electrical;

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Design Optimization using MATLAB and SOLIDWORKS

develop fundamental optimization methods before delving into MATLAB (R)'s optimization toolbox, and to link MATLAB's results with the results from;

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Nonlinear and Mixed-Integer Optimization

synthesis in chemical engineering. The reader is acquainted with the basics of convex analysis and nonlinear optimization and is introduced to the;

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Design and Optimization of Thermal Systems, Third Edition with MATLAB Applications Mechanical Engineering

Design and Optimization of Thermal Systems, Third Edition: with MATLAB (R) Applications provides systematic and efficient approaches to the;

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Engineering Optimization

for optimization. This book introduces state-of-the-art metaheuristic algorithms and their applications in optimization, using both MATLAB(R;

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Fractional Order Systems

Fractional Order Systems: Optimization, Control, Circuit Realizations and Applications consists of 21 contributed chapters by subject;

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Fuzzy Logic Control in Energy Systems with design applications in MATLAB (R)/Simulink (R)

systems. The book incorporates a novel fuzzy logic controller design approach in both Matlab (R) and in Matlab Simulink (R) so that the user can;

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Power Electronics with MATLAB

This practically-oriented, all-inclusive guide covers the essential concepts of power electronics through MATLAB (R) examples and;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technolog

solving complex, large-scale, continuous nonlinear optimization problems or applications. Beginning with an overview of constrained nonlinear;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

solving complex, large-scale, continuous nonlinear optimization problems or applications. Beginning with an overview of constrained nonlinear;

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Low-Frequency Electromagnetic Modeling for Electrical and Biological Systems Using MATLAB

frequencies and includes hands-on, application-based MATLAB(R) modules with user-friendly and intuitive GUI and a highly visualized interactive output;

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MATLAB (R) for Electrical and Computer Engineering Students and Professionals

electrical and computer engineering (ECE) fundamentals. This is what distinguishes it from other books concerned with MATLAB (R): it is directed;

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Recent Advances in Nonlinear Dynamics and Synchronization

This book focuses on modelling and simulation, control and optimization, signal processing, and forecasting in selected nonlinear dynamical;

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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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Nonlinear Combinatorial Optimization

this book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization;

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Nonlinear Combinatorial Optimization

this book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization;

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Stochastic Dynamics, Filtering and Optimization

solving inverse problems and a new stochastic search technique for treating a broad class of non-convex optimization problems. MATLAB (R) codes;

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Optimization In Practice with MATLAB

Optimization in Practice with MATLAB (R) provides a unique approach to optimization education. It is accessible to both junior and senior;

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Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R)

evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R;

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Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R)

evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R;

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Feedback Control Systems

applications of MATLAB (R) in control engineering. The focus of this book is control engineering applications of MATLAB (R) for a first course on;

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MATLAB (R) Handbook with Applications to Mathematics, Science, Engineering, and Finance

The purpose of this handbook is to allow users to learn and master the mathematics software package MATLAB (R), as well as to serve as a;

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Stochastic Process Optimization using Aspen Plus (R)

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

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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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New Optimization Algorithms and their Applications

engaged in computer and intelligent algorithm work and engineering with one source of information on novel optimization algorithms.

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