Bridging Eigenvalue Theory and Practice
eBook - PDF

Bridging Eigenvalue Theory and Practice

Applications in Modern Engineering

  1. 200 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Bridging Eigenvalue Theory and Practice

Applications in Modern Engineering

About this book

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.

Information

Publisher
IntechOpen
Year
2025
Print ISBN
9781836342489
eBook ISBN
9781836342472

Table of contents

  1. Bridging Eigenvalue Theory and Practice - Applications in Modern Engineering
  2. Contents
  3. Preface
  4. Chapter1 Perspective Chapter: The Concept of Eigenvalue in 2-Dimensional Spaces and Its Connections with Geometric Scaling and Invariant Subspace
  5. Chapter2 Eigenvalues and Eigenvectors in Controllability Analysis
  6. Chapter3 Solution for Matrix Exponentiation Using Eigenvalues
  7. Chapter4 Spectral PerturbationTheory of Hermitian Matrices
  8. Chapter5 Hybrid Parallel Scheme for Eigenvalue Problems Using Multiplicative Calculus
  9. Chapter6 Eigen-Analysis of Multi-Agent Systems and Large Scale Systems Using Data Driven and Machine Learning Algorithms
  10. Chapter7 Multivariate Linear Model for Data Analysis and Machine Learning and theTheory and Practice of Eigenvalues in Mitigating Multicollinearity
  11. Chapter8 Principal Components and Factor Models for Space-Time Data of Remote Sensing
  12. Chapter9 Small-Signal Stability Analysis of Virtual Impedance Based Parallel Inverters

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Yes, you can access Bridging Eigenvalue Theory and Practice by Bruno Carpentieri in PDF and/or ePUB format. We have over 1.5 million books available in our catalogue for you to explore.