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Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R) provides an introductory course on nonlinear optimization;
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Combining academic and practical approaches to this important topic, Numerical and Analytical Methods with MATLAB (R) for Electrical;
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develop fundamental optimization methods before delving into MATLAB (R)'s optimization toolbox, and to link MATLAB's results with the results from;
Vergelijkbare producten zoals Design Optimization using MATLAB and SOLIDWORKS
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 (R) Applications provides systematic and efficient approaches to the;
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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: Optimization, Control, Circuit Realizations and Applications consists of 21 contributed chapters by subject;
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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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This practically-oriented, all-inclusive guide covers the essential concepts of power electronics through MATLAB (R) examples and;
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solving complex, large-scale, continuous nonlinear optimization problems or applications. Beginning with an overview of constrained nonlinear;
Vergelijkbare producten zoals 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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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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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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This book focuses on modelling and simulation, control and optimization, signal processing, and forecasting in selected nonlinear dynamical;
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This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied;
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this book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization;
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this book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization;
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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 (R) provides a unique approach to optimization education. It is accessible to both junior and senior;
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evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R;
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evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R;
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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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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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. 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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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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engaged in computer and intelligent algorithm work and engineering with one source of information on novel optimization algorithms.
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