Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Matrix Recurrence Relations
Graph Chatbot
Related lectures (37)
Eigenvalues and Eigenvectors in 3D
Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.
Diagonalization of Linear Transformations
Explains the diagonalization of linear transformations using eigenvectors and eigenvalues to form a diagonal matrix.
Linear Algebra: Canonical Basis
Explores the canonical basis in linear algebra, focusing on matrix representation, diagonalizability, and characteristic polynomials.
Fibonacci numbers and the golden ratio
Explores the Fibonacci sequence, identities, golden ratio, and explicit formulas.
Advanced Counting: Examples
Covers advanced counting techniques, including linear recurrence relations and generating functions, with examples from the Fibonacci sequence and differences between dice and poker cards.
Non-Diagonalizable Case: Two Eigenvalues (Example)
Showcases a non-diagonalizable matrix example and explores eigenvalues and eigenvectors.
Orthogonal Matrices and Eigenvalues
Explores orthogonal matrices, eigenvalues, and orientation-preserving transformations in linear algebra.
Linear Algebra: Eigenvalues and Eigenvectors
Explores eigenvalues, eigenvectors, diagonalization, and spectral theorem in linear algebra.
Eigenvalues and Fibonacci Sequence
Log in to Mediaspace to watch this video
Covers eigenvalues, eigenvectors, and the Fibonacci sequence, exploring their mathematical properties and practical applications.
Eigenvalues and Eigenvectors: Understanding Matrix Properties
Log in to Mediaspace to watch this video
Explores eigenvalues and eigenvectors, demonstrating their importance in linear algebra and their application in solving systems of equations.
Diagonalization of Matrices
Log in to Mediaspace to watch this video
Explores the diagonalization of matrices through eigenvalues and eigenvectors, emphasizing the importance of bases and subspaces.
Characteristic Polynomials and Similar Matrices
Log in to Mediaspace to watch this video
Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.
Linear Algebra Basics
Log in to Mediaspace to watch this video
Covers fundamental concepts in linear algebra, including linear equations, matrix operations, determinants, and vector spaces.
Singular Value Decomposition (SVD)
Log in to Mediaspace to watch this video
Covers the Singular Value Decomposition (SVD) in detail, including properties of matrices and system linearity.
Linear Algebra: Organization and Exercises
Log in to Mediaspace to watch this video
Covers the organization of linear algebra course and exercises for civil engineering and environmental sciences students.
Matrix Eigenvalues and Eigenvectors
Log in to Mediaspace to watch this video
Covers matrix eigenvalues, eigenvectors, and their linear independence.
Diagonalization of Matrices and Least Squares
Log in to Mediaspace to watch this video
Explores diagonalization of matrices, similarity relations, and eigenvectors in linear algebra.
Eigenvalues and Eigenvectors: Understanding Matrices
Log in to Mediaspace to watch this video
Explores eigenvalues and eigenvectors in matrices through examples and calculations.
Matrix Similarity and Diagonalization
Log in to Mediaspace to watch this video
Explores matrix similarity, eigenvalues, and diagonalization in linear algebra.
Linear Algebra Basics: Vector Spaces, Transformations, Eigenvalues
Log in to Mediaspace to watch this video
Covers fundamental linear algebra concepts like vector spaces and eigenvalues.
Previous
Page 1 of 2
Next
