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{ "item_title" : "Bridging Eigenvalue Theory and Practice - Applications in Modern Engineering", "item_author" : [" Bruno Carpentieri "], "item_description" : "Eigenvalue theory is a cornerstone of applied mathematics, playing a fundamental role in stability analysis, control theory, computational methods, and engineering applications. This volume explores the interplay between theoretical insights and real-world implementations, demonstrating how eigenvalue-based techniques drive advancements in modern engineering. Covering topics such as numerical linear algebra, spectral analysis, high-performance computing, and data-driven methodologies, this collection presents innovative approaches for solving complex eigenvalue problems in control systems, structural analysis, machine learning, and large-scale simulations alongside cutting-edge numerical methods that enhance computational efficiency and accuracy. By bridging mathematical theory with engineering practice, this book is a valuable resource for researchers, engineers, and practitioners looking to apply eigenvalue techniques in scientific computing, optimization, and emerging technologies.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/83/634/248/1836342489_b.jpg", "price_data" : { "retail_price" : "150.00", "online_price" : "150.00", "our_price" : "150.00", "club_price" : "150.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Bridging Eigenvalue Theory and Practice - Applications in Modern Engineering|Bruno Carpentieri

Bridging Eigenvalue Theory and Practice - Applications in Modern Engineering : Applications in Modern Engineering

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Overview

Eigenvalue theory is a cornerstone of applied mathematics, playing a fundamental role in stability analysis, control theory, computational methods, and engineering applications. This volume explores the interplay between theoretical insights and real-world implementations, demonstrating how eigenvalue-based techniques drive advancements in modern engineering. Covering topics such as numerical linear algebra, spectral analysis, high-performance computing, and data-driven methodologies, this collection presents innovative approaches for solving complex eigenvalue problems in control systems, structural analysis, machine learning, and large-scale simulations alongside cutting-edge numerical methods that enhance computational efficiency and accuracy. By bridging mathematical theory with engineering practice, this book is a valuable resource for researchers, engineers, and practitioners looking to apply eigenvalue techniques in scientific computing, optimization, and emerging technologies.

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Details

  • ISBN-13: 9781836342489
  • ISBN-10: 1836342489
  • Publisher: Intechopen
  • Publish Date: April 2025
  • Dimensions: 10 x 7 x 0.5 inches
  • Shipping Weight: 1.24 pounds
  • Page Count: 198

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