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Lecture
Orthogonal Complement and Projection
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Orthogonality and Least Squares
Introduces orthogonality between vectors, angles, and orthogonal complement properties in vector spaces.
Linear Applications and Eigenvectors
Covers linear applications, diagonalizable matrices, eigenvectors, and orthogonal subspaces in R^n.
Orthogonal Families & Projections
Covers orthogonal families and projections in vector spaces, including the Gram-Schmidt process.