Variance and Combinatorial Search

Related lectures (31)

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Explores linear dependence and independence of vectors in geometric spaces.

Explores principal components, covariance, correlation, choice, and applications in data analysis.

Covers the transformation of vectors and tensors in quantum physics.

Explores type inference in statically typed languages, using algorithms to assign types to program expressions accurately.

Explores proving transitivity in algorithmic subtyping through induction and subtype relationships.

Introduces vector definitions, displacement, addition, and applications in geometry.

Covers landmarks, coordinate systems, frames, and terminology in coordinates, emphasizing geometric angles and orthogonal vectors.

Covers the properties of vectors, including commutativity, distributivity, and linearity.

Explains linear independence, bases, and dimension in vector spaces, including the importance of the order of vectors in a basis.

Covers systems of forces in 3D, equilibrium in 2D, system isolation, free-body diagrams, supports, and joints.