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{ "item_title" : "Optimization Techniques", "item_author" : [" Rupesh Kumar Tipu", "Vandna Batra", "Suman Punia "], "item_description" : "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.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/6/20/780/718/6207807189_b.jpg", "price_data" : { "retail_price" : "66.00", "online_price" : "66.00", "our_price" : "66.00", "club_price" : "66.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Optimization Techniques|Rupesh Kumar Tipu

Optimization Techniques : Practical Approaches

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Overview

"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.

This item is Non-Returnable

Details

  • ISBN-13: 9786207807185
  • ISBN-10: 6207807189
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: June 2024
  • Dimensions: 9 x 6 x 0.28 inches
  • Shipping Weight: 0.4 pounds
  • Page Count: 116

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