Finite Elements: Crash Course on Elliptic Problems

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Incompressible Fluid Mechanics: Differential Analysis

Covers mass and momentum conservation, Navier-Stokes equations, and analytical methods in incompressible fluid mechanics.

Numerical Methods: Iterative Techniques

Covers open methods, Newton-Raphson, and secant method for iterative solutions in numerical methods.

Numerical Methods in Hydrodynamics

Covers numerical methods in hydrodynamics, ideal fluids, plasma universe, dark matter simulation, and baryon modeling.

Numerical Derivation: Formulas and Approaches

Covers the numerical approach to derivative calculation, focusing on formulas and methods such as fine differences.

Time Integration: Unsteady Simulation Methods

Explores numerical methods for unsteady flow simulation, emphasizing time integration techniques and boundedness criteria.

Numerical Modelling of the Atmosphere

Focuses on numerical modelling of atmospheric processes to predict weather and climate phenomena, covering key concepts and methods.

Hydrodynamic Models: Machine Learning for Kinetic Equations

Delves into uniformly accurate hydrodynamic models for kinetic equations using machine learning, covering Boltzmann equation, moment methods, and numerical results.

Multigroup Theory: Main Equations and Numerical Solution

Covers the derivation of multi-group diffusion equations and the numerical methods for solving the neutron diffusion equation.