Lecture
Eigenvalues and Eigenvectors
Related lectures (30)
Singular Value Decomposition: Applications and Theorems
Explores the applications and theorems of Singular Value Decomposition in linear algebra, including image processing, matrix rotation, and transition probabilities.
Eigenvalues and Eigenvectors in 3D
Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.
Symmetric Matrices: Diagonalization
Explores symmetric matrices, their diagonalization, and properties like eigenvalues and eigenvectors.
Eigenvalues and Fibonacci Sequence
Covers eigenvalues, eigenvectors, and the Fibonacci sequence, exploring their mathematical properties and practical applications.
Linear Algebra Basics
Covers fundamental concepts in linear algebra, including linear equations, matrix operations, determinants, and vector spaces.
Eigenvalues and Eigenvectors
Covers eigenvalues, eigenvectors, characteristic polynomial, and geometric multiplicities in linear transformations.
Orthogonality and Eigenvalues
Explores orthogonality, eigenvalues, and diagonalization in linear algebra, focusing on finding orthogonal bases and diagonalizing matrices.
Eigenvalues and Eigenvectors: Understanding Matrix Properties
Explores eigenvalues and eigenvectors, demonstrating their importance in linear algebra and their application in solving systems of equations.
PageRank & HITS Algorithms
Explains PageRank and HITS algorithms for web page ranking and authority calculation.
Turbulence Phenomenology
Explores turbulence phenomenology, focusing on scale separation, Reynolds numbers, and computational implications.