Lectures related to Period 5 element

Covers the convergence of high-order PDEs using ADI-type integrators for parabolic problems.

Delves into unitary operators, self-adjoint properties, and spectral theorems in linear algebra.

Covers eigenvalues and eigenvectors in linear algebra.

Explores the Random Feature Method for solving PDEs using machine learning algorithms to approximate high-dimensional functions efficiently.

Covers parametric functions, integrals, and the origin of plasticity in metals.

Covers the quantum mechanics of 1D crystals with periodic boundary conditions.

Explores the periodic table of elements and Assyr Abdulle's significant contributions to numerical analysis.

Explores sampling algorithms for constrained systems, emphasizing the work of Benedict Leimkuhler from the University of Edinburgh.

Explores PDEs through reflow of polymer film and light propagation in optical fibers.

Covers mathematical concepts from number theory to probability and statistics.

Explores inference for stochastic differential equations, focusing on numerical methods and convergence analysis.

Explores Computational Molecular Design, emphasizing Mathematical Theory, High Performance Computing, and In Vivo Experiments.

Introduces probability theory, random variables, and distributions, with a focus on their applications in atomic diffusion.

Explores atomic structure, chemistry, and energy in biology, covering chemical bonds, periodic table, and hierarchical organization of matter.

Explores functions, limits, continuity, differentiability, and important notions of limits and divergence.