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Related lectures (28)
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Spectral Decomposition of Bounded Self-Adjoint Operators
Explores the spectral decomposition of self-adjoint operators on Hilbert spaces.
Vector Subspaces in R3
Covers vector subspaces in R3, stability under operations, classification, and properties.
Linear Algebra: Vector Spaces
Explores vector spaces, subspaces, bases, and linear combinations in R² and R³, including free and linked families.
Vector Spaces: Sum of Subspaces
Covers the concept of the sum of vector subspaces in an IR-vector space.
Orthogonal Complement in Rn
Covers the concept of orthogonal complement in Rn and related propositions and theorems.
Orthogonal Projection in Linear Algebra
Explains orthogonal projection in linear algebra, focusing on transforming non-orthogonal bases into orthogonal ones.
Orthogonal Complement: Properties and Theorems
Explores the concept of orthogonal complement in vector subspaces and fundamental matrix subspaces.
PCA: Directions of Largest Variance
Covers PCA, finding directions of largest variance, data dimensionality reduction, and limitations of PCA.
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