Numerical Physics: Fourier Transforms and Linear Algebra

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Explores moving average and exponential filters, Gaussian filtering, and linear scale-space concepts in image processing.

Covers the basics of thermal conduction, including Fourier's equation and heat transfer regimes.

Explores Fourier inversion formula, periodic functions, and methods comparison.

Covers average values, uncertainties, and the behavior of photons in various contexts.

Explores the classification and practical applications of symmetries in 3D space, emphasizing user-driven determination of object symmetries.

Explores diagonalization of matrices, similarity relations, and eigenvectors in linear algebra.

Explores the diagonalization of matrices through eigenvalues and eigenvectors, emphasizing the importance of bases and subspaces.

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