Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Concept
Square root of a matrix
Formal sciences
Mathematics
Algebra
Linear algebra
Graph Chatbot
Related lectures (28)
Login to filter by course
Login to filter by course
Reset
Linear Applications and Eigenvalues
Covers linear applications, eigenvalues, eigenvectors, and geometric interpretations of square matrices.
Symmetric Matrices: Diagonalization
Explores symmetric matrices, their diagonalization, and properties like eigenvalues and eigenvectors.
Matrix Equations: Finding Free Variables
Explains how to find free variables in matrix equations and analyze characteristic polynomials.
Linear Algebra: Matrices Properties
Explores properties of 3x3 matrices with real coefficients and determinant calculation methods.
Characteristic Polynomials and Similar Matrices
Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.
Linear Algebra Review: Convex Optimization
Covers essential linear algebra concepts for convex optimization, including vector norms, eigenvalue decomposition, and matrix properties.
Linear Algebra Basics
Covers fundamental concepts in linear algebra, including linear equations, matrix operations, determinants, and vector spaces.
Matrix Inversibility Criteria
Explains the criteria for matrix invertibility and its relation to linear system solutions.
Characterization of Invertible Matrices
Explores the properties of invertible matrices, including unique solutions and linear independence.
Matrix Multiplication: Associativity Property
Explores the associativity property of matrix multiplication for proving products equal to zero.
Physics-guided NMF for STEM/EDXS Data Analysis
Explores Physics-guided NMF for STEM/EDXS data analysis, covering challenges, optimization, constraints, and advantages of the modelization.
Eigenvalues and Diagonalization
Explores eigenvalues, eigenvectors, and matrix diagonalization with examples and proofs.
Embeddability Theorem
Covers the l2-embeddability theorem, isometric embeddings, positive semidefinite matrices, and eigenvalues computation.
Elementary Matrices and Inverses
Explores elementary matrices, inverses, uniqueness of solutions, and linear transformations in linear algebra.
Von Neumann Entropy: Mixed State and Density Matrix
Explores Von Neumann Entropy in mixed states and density matrices, including quantum bits and entangled systems.
Convex Optimization: Linear Algebra Review
Provides a review of linear algebra concepts crucial for convex optimization, covering topics such as vector norms, eigenvalues, and positive semidefinite matrices.
Diagonalization of Matrices
Explores the diagonalization of matrices through similarity transformations and the significance of this process in linear algebra.
Linear Algebra: Rank Theorem
Explores the Rank Theorem in linear algebra, covering matrix properties and determinants.
Spectral Density: Semi-Classical Approach
Covers the semi-classical spectral density and barrier penetration examples.
Eigenvalues and Eigenvectors
Covers eigenvalues, eigenvectors, characteristic polynomials, and eigenspaces for square matrices.
Previous
Page 1 of 2
Next