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 Inversion through Diagonalization
Graph Chatbot
Related lectures (48)
Diagonalization Cream: Distinct Eigenvalues
Log in to Mediaspace to watch this video
Covers the diagonalization of matrices with distinct eigenvalues and the importance of this process.
Diagonalization of Matrices
Log in to Mediaspace to watch this video
Explores the diagonalization of matrices through similarity transformations and the significance of this process in linear algebra.
Eigenvalues and Eigenvectors
Log in to Mediaspace to watch this video
Explores eigenvalues and eigenvectors, their calculation, importance, and geometric interpretation in linear algebra.
Matrix Similarity and Diagonalization
Log in to Mediaspace to watch this video
Explores matrix similarity, eigenvalues, and diagonalization in linear algebra.
Linear Algebra: Normal Equations and Symmetric Matrices
Log in to Mediaspace to watch this video
Explores normal equations, pseudo-solutions, unique solutions, and symmetric matrices in linear algebra.
Diagonalization of Matrices: Theory and Examples
Log in to Mediaspace to watch this video
Covers the theory and examples of diagonalizing matrices, focusing on eigenvalues, eigenvectors, and linear independence.
Diagonalization: Theory and Examples
Log in to Mediaspace to watch this video
Explores diagonalization of matrices through eigenvalues and eigenvectors, emphasizing distinct eigenvalues and their role in the diagonalization process.
Linear Algebra: Spectral Decomposition
Log in to Mediaspace to watch this video
Covers the spectral decomposition of matrices and change of basis applications.
Base Changes and Rank
Log in to Mediaspace to watch this video
Explores base changes, bijective linear applications, matrix transformations, and dimensions of kernel and image spaces.
Spectral Theorem: Min-Max Criterion
Log in to Mediaspace to watch this video
Explores the Spectral Theorem, emphasizing the Min-Max Criterion for symmetric matrices and the properties of positive definite matrices.
Optimal Decision Making: The Simplex Method
Log in to Mediaspace to watch this video
Introduces the Simplex Method for optimal decision making in linear programming, covering basic and advanced concepts.
Linear Algebra: Bases and Transformations
Log in to Mediaspace to watch this video
Covers bases, transformations, and matrix decompositions in linear algebra.
Forced Oscillator Regime: Generalized Conservative Approach
Log in to Mediaspace to watch this video
Explores the forced oscillator regime in vibratory mechanics, emphasizing clean pulsations and a generalized conservative approach.
Diagonalization of Symmetric Matrices
Log in to Mediaspace to watch this video
Explores the diagonalization of symmetric matrices and the orthogonality of eigenvectors.
Linear Algebra: Matrix Operations and Applications
Log in to Mediaspace to watch this video
Covers matrix operations, transformations, and applications in linear algebra.
Matrix Operations: Transposition, Rank, and Basis Change
Log in to Mediaspace to watch this video
Covers matrix transposition, rank, and basis change in linear algebra, exploring invertibility criteria and basis relationships.
Polynomial Characteristic and Eigenvalues
Log in to Mediaspace to watch this video
Covers the concept of polynomial characteristic of a matrix and its relation to eigenvalues.
Matrix Inverses: Properties and Calculations
Log in to Mediaspace to watch this video
Explores matrix inverses, their properties, calculations, and determinants of invertibility.
Diagonalization of Symmetric Matrices
Log in to Mediaspace to watch this video
Explores the diagonalization of symmetric matrices and the importance of Singular Value Decomposition.
Diagonalization of Symmetric Matrices
Log in to Mediaspace to watch this video
Covers the diagonalization of symmetric matrices and the spectral theorem.
Previous
Page 2 of 3
Next