Bridging Eigenvalue Theory and Practice
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 eigenval...
Uloženo v:
| Médium: | Online |
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| Jazyk: | angličtina |
| Vydáno: |
IntechOpen
2025
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| Témata: | |
| On-line přístup: | ONIX_20250617T171318_9781836342472_81 |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
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| Shrnutí: | 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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