Lectures related to Quadratic Approximation: Example

Covers the concept of 3D vector space, scalar product, bases, orthogonality, and projections.

Introduces orthogonal families, orthonormal bases, and projections in linear algebra.

Explores orthogonal diagonalization of symmetric matrices using orthonormal bases and the Gram-Schmidt method.

Covers orthogonal projection, spectral decomposition, Gram-Schmidt process, and matrix factorization.

Explores constructing a piecewise continuous function using degree 2 interpolation by intervals.

Explains orthogonal families, bases, and projections in vector spaces.

Explores orthogonal projection calculation and orthonormal bases uniqueness through matrix operations.

Covers orthogonal bases, Gram-Schmidt method, linear independence, and orthonormal matrices in vector spaces.

Explores nonlocal games using quantum mechanics to achieve unexplainable correlations.