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Least Squares, Determinants and Eigenvalues (M-I-T)

(11 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • Cramer's Rule, Inverse Matrix and Volume (M-I-T)
Least Squares, Determinants and Eigenvalues (M-I-T) MIT Prof. Gilbert Strang Basic and Health Sciences
2
  • Determinant Formulas and Cofactors (M-I-T)
Least Squares, Determinants and Eigenvalues (M-I-T) MIT Prof. Gilbert Strang Basic and Health Sciences
3
  • Diagonalization and Powers of A (M-I-T)
Least Squares, Determinants and Eigenvalues (M-I-T) MIT Prof. Gilbert Strang Basic and Health Sciences
4
  • Differential Equations and exp(At) (M-I-T)
Least Squares, Determinants and Eigenvalues (M-I-T) MIT Prof. Gilbert Strang Basic and Health Sciences
5
  • Eigenvalues and Eigenvectors (M-I-T)
Least Squares, Determinants and Eigenvalues (M-I-T) MIT Prof. Gilbert Strang Basic and Health Sciences
6
  • Markov Matrices; Fourier Series (M-I-T)
Least Squares, Determinants and Eigenvalues (M-I-T) MIT Prof. Gilbert Strang Basic and Health Sciences
7
  • Orthogonal Matrices and Gram-Schmidt (M-I-T)
Least Squares, Determinants and Eigenvalues (M-I-T) MIT Prof. Gilbert Strang Basic and Health Sciences
8
  • Orthogonal Vectors and Subspaces (M-I-T)
Least Squares, Determinants and Eigenvalues (M-I-T) MIT Prof. Gilbert Strang Basic and Health Sciences
9
  • Projection Matrices and Least Squares (M-I-T)
Least Squares, Determinants and Eigenvalues (M-I-T) MIT Prof. Gilbert Strang Basic and Health Sciences
10
  • Projections onto Subspaces (M-I-T)
Least Squares, Determinants and Eigenvalues (M-I-T) MIT Prof. Gilbert Strang Basic and Health Sciences
11
  • Properties of Determinants (M-I-T)
Least Squares, Determinants and Eigenvalues (M-I-T) MIT Prof. Gilbert Strang Basic and Health Sciences

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