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Home » Basic and Health Sciences » Mathematics » Linear Algebra (Fall 2011) (M-I-T) » Least Squares, Determinants and Eigenvalues (M-I-T) » Orthogonal Vectors and Subspaces (M-I-T)

Orthogonal Vectors and Subspaces (M-I-T)

Course:Least Squares, Determinants and Eigenvalues (M-I-T)
Discipline:Basic and Health Sciences
Institute:MIT
Instructor(s): Prof. Gilbert Strang
Level:Undergraduate

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

Cramer's Rule, Inverse Matrix and Volume (M-I-T)
Determinant Formulas and Cofactors (M-I-T)
Diagonalization and Powers of A (M-I-T)
Differential Equations and exp(At) (M-I-T)
Eigenvalues and Eigenvectors (M-I-T)
Markov Matrices; Fourier Series (M-I-T)
Orthogonal Matrices and Gram-Schmidt (M-I-T)
Orthogonal Vectors and Subspaces (M-I-T)
Projection Matrices and Least Squares (M-I-T)
Projections onto Subspaces (M-I-T)
Properties of Determinants (M-I-T)

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