"Optimization Techniques: Practical Approaches" provides a comprehensive guide to the various methods and applications of optimization across multiple fields. The book begins with an introduction to the fundamental concepts of optimization and progresses through classical and modern techniques such as gradient-based methods, metaheuristics, and hybrid approaches. It delves into specific applications in machine learning, industry, energy systems, finance, economics, and healthcare. The book also explores advanced topics like quantum optimization and real-time optimization, and it includes detailed explanations, mathematical formulations, examples, pseudocode, and practical applications. Supplementary sections cover mathematical foundations, a glossary of terms, a bibliography, and an index, making this book a valuable resource for students, researchers, practitioners, and educators.
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Optimization Techniques: Practical Approaches' provides a comprehensive guide to the various methods and applications of optimization across multiple fields. The book begins with an introduction to the fundamental concepts of optimization and progresses through classical and modern techniques such as gradient-based methods, metaheuristics, and hybrid approaches. It delves into specific applications in machine learning, industry, energy systems, finance, economics, and healthcare. The book also explores advanced topics like quantum optimization and real-time optimization, and it includes detailed explanations, mathematical formulations, examples, pseudocode, and practical applications. Supplementary sections cover mathematical foundations, a glossary of terms, a bibliography, and an index, making this book a valuable resource for students, researchers, practitioners, and educators.Books on Demand GmbH, Überseering 33, 22297 Hamburg 116 pp. Englisch. Nº de ref. del artículo: 9786207807185
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Optimization Techniques: Practical Approaches' provides a comprehensive guide to the various methods and applications of optimization across multiple fields. The book begins with an introduction to the fundamental concepts of optimization and progresses through classical and modern techniques such as gradient-based methods, metaheuristics, and hybrid approaches. It delves into specific applications in machine learning, industry, energy systems, finance, economics, and healthcare. The book also explores advanced topics like quantum optimization and real-time optimization, and it includes detailed explanations, mathematical formulations, examples, pseudocode, and practical applications. Supplementary sections cover mathematical foundations, a glossary of terms, a bibliography, and an index, making this book a valuable resource for students, researchers, practitioners, and educators. Nº de ref. del artículo: 9786207807185
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