sparse-plex
  • About Sparse-Plex
  • Getting Started
  • Demos
  • Sparse Signal Models
  • Compressive Sensing
  • Data Analysis
  • Data Clustering
  • Pursuit Algorithms
  • Subspace Clustering
  • Dictionary Learning
  • Set Theory
  • Linear Algebra
  • Matrix Algebra
    • Introduction
    • Linear independence, span, rank
    • Invertible matrices
    • Trace and determinant
    • Unitary and orthogonal matrices
    • Eigen values
    • Singular values
    • Matrix norms
    • Matrix Calculus
  • Real Analysis
  • Convex Analysis
  • Probability and Random Variables
  • Geometry
  • Numerical Optimization
  • Digital Signal Processing
  • Wavelets
  • Detection, Classification and Estimation
  • ECG
  • Computational Complexity
  • Library Classes
  • Exercises
  • Scripts
  • References
  • Index
  • File an issue
  • sparse-plex
    • Docs »
    • Matrix Algebra

    Matrix Algebra¶

    • Introduction
      • Block matrix
    • Linear independence, span, rank
      • Spaces associated with a matrix
      • Rank
    • Invertible matrices
      • Similar matrices
      • Gram matrices
      • Pseudo inverses
    • Trace and determinant
      • Trace
      • Determinants
    • Unitary and orthogonal matrices
      • Orthogonal matrix
      • Unitary matrix
      • F unitary matrix
    • Eigen values
      • Invariant subspaces
      • Triangular matrices
      • Similar matrices
      • Linear independence of eigen vectors
      • Diagonalization
      • Symmetric matrices
      • Hermitian matrices
      • Miscellaneous properties
      • Diagonally dominant matrices
      • Gershgorin’s theorem
    • Singular values
      • The largest singular value
      • SVD and pseudo inverse
      • Full column rank matrices
      • Low rank approximation of a matrix
    • Matrix norms
      • Norms like \(\ell_p\) on complex vector space
      • Properties of Frobenius norm
      • Consistency of a matrix norm
      • Subordinate matrix norm
      • Operator norm
      • p-norm for matrices
      • The 2-norm
      • Unitary invariant norms
      • More properties of operator norms
      • Row column norms
      • Block diagonally dominant matrices and generalized Gershgorin disc theorem
    • Matrix Calculus
      • Trace
      • Frobenius Norm
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