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This book, MATLAB for Optimization: Practical Techniques and Solutions, provides a comprehensive guide to solving optimization problems using MATLAB. It covers a wide range of topics including linear and nonlinear programming, integer programming, metaheuristic optimization, multi-objective optimization, and global optimization. The book is designed for both beginners and experienced practitioners, offering detailed explanations, practical examples, and MATLAB code for various optimization techniques. Readers will gain a deep understanding of optimization theory and its practical applications…mehr

Produktbeschreibung
This book, MATLAB for Optimization: Practical Techniques and Solutions, provides a comprehensive guide to solving optimization problems using MATLAB. It covers a wide range of topics including linear and nonlinear programming, integer programming, metaheuristic optimization, multi-objective optimization, and global optimization. The book is designed for both beginners and experienced practitioners, offering detailed explanations, practical examples, and MATLAB code for various optimization techniques. Readers will gain a deep understanding of optimization theory and its practical applications in fields such as engineering, finance, and supply chain management.
Autorenporträt
Dr. Rupesh Kumar, Professor an der K R Mangalam University, ist auf Optimierung und KI spezialisiert. Mit mehr als 10 Jahren Erfahrung hat er zahlreiche Publikationen veröffentlicht und Forschungsprojekte in den Bereichen technisches Design und Smart Grid Management geleitet. Er ist ein erfahrener Pädagoge, hat mehrere Bücher verfasst und leistet aktive Beiträge zu Fachorganisationen.