Lectures related to Estimating Stability and Quality

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

Introduces finite element modeling for numerical solutions to complex problems.

Explores streamline diffusion and emphasizes fully consistent numerical methods.

Explores approximation methods and weak variational forms in numerical methods.

Discusses evaluation feedback, convergence, error analysis, and adaptive time steps in physics simulations.

Explores numerical methods for solving the time-dependent Schrödinger equation using grid representation and split-operator algorithms.

Covers the basics of computational geomechanics, including poroelasticity, plasticity, and numerical methods for solving geotechnical problems.