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...

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Format: Online
Language:English
Published: IntechOpen 2025
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Online Access:ONIX_20250617T171318_9781836342472_81
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collection Directory of Open Access Books
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.
format Online
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institution Directory of Open Access Books
language eng
publishDate 2025
publishDateRange 2025
publishDateSort 2025
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publisherStr IntechOpen
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spelling doab-20.500.12854ir-1615092025-06-17T15:33:44Z Bridging Eigenvalue Theory and Practice Carpentieri, Bruno Applied mathematics thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics 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. 2025-06-17T15:33:42Z 2025-06-17T15:33:42Z 2025 book ONIX_20250617T171318_9781836342472_81 9781836342472 9781836342489 9781836342496 https://directory.doabooks.org/handle/20.500.12854/161509 eng image/jpeg n/a https://www.intechopen.com/books/1003927 https://intech-files.s3.amazonaws.com/a043Y000011YN2UQAW/0015831_Authors_Book%20%282025-04-10%2010%3A50%3A50%29.pdf IntechOpen IntechOpen 10.5772/intechopen.1003394 10.5772/intechopen.1003394 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781836342472 9781836342489 9781836342496 IntechOpen 198 open access
spellingShingle Applied mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
Bridging Eigenvalue Theory and Practice
title Bridging Eigenvalue Theory and Practice
title_full Bridging Eigenvalue Theory and Practice
title_fullStr Bridging Eigenvalue Theory and Practice
title_full_unstemmed Bridging Eigenvalue Theory and Practice
title_short Bridging Eigenvalue Theory and Practice
title_sort bridging eigenvalue theory and practice
topic Applied mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
topic_facet Applied mathematics
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
url ONIX_20250617T171318_9781836342472_81