Hasty Briefsbeta

The Little Book of Linear Algebra

16 hours ago
  • #vectors-matrices
  • #mathematics
  • #linear-algebra
  • Introduction to vectors, scalars, and geometry including operations and properties.
  • Matrices and their operations, special types, and computational aspects.
  • Linear systems, elimination methods, and solution sets.
  • Vector spaces, subspaces, and their properties.
  • Linear transformations, their representations, and structural aspects.
  • Determinants, their properties, and computational methods.
  • Eigenvalues, eigenvectors, and their applications in dynamics.
  • Orthogonality, least squares problems, and QR factorization.
  • Singular Value Decomposition (SVD), Principal Component Analysis (PCA), and matrix conditioning.
  • Applications in geometry, computer graphics, data analysis, and numerical methods.