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
    • Vector Spaces
    • Linear transformations
    • Inner product spaces
    • The Euclidean space
    • N dimensional complex space
    • Affine Subspaces Review
    • Matrix Factorizations
    • Principal Angles
  • Matrix Algebra
  • 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 »
    • Linear Algebra

    Linear AlgebraΒΆ

    • Vector Spaces
      • Algebraic structures
      • Vector space
      • Linear independence
      • Span
      • Basis
      • Subspace
    • Linear transformations
      • Null space and range
      • Bracket operator
      • Matrix representations
      • Vector space of linear transformations
      • Composition of linear transformations
    • Inner product spaces
      • Inner product
      • Orthogonality
      • Norm
      • Projection
      • Orthogonal projection
      • Parallelogram identity
      • Polarization identity
    • The Euclidean space
      • Inner product
      • Norm
      • Distance
      • \(\ell_p\) norms
    • N dimensional complex space
      • Inner product
      • Norm
      • Distance
      • \(\ell_p\) norms
    • Affine Subspaces Review
      • Hyperplanes and Half spaces
      • General Position
    • Matrix Factorizations
      • Singular Value Decomposition
    • Principal Angles
      • Hands on with Principal Angles
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