Astrophysical Fluids & Plasmas

Related lectures (30)

Page 3 of 3

Covers the theory and practical applications of linear regression.

Covers specular view factors, radiative exchange, energy transfer, and numerical integration methods in thermal radiation.

Introduces statistical modelling basics, probability theory, and key concepts for data science applications.

Covers random variables, probability functions, expectations, variances, and joint distributions.

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

Covers the verification and validation process in numerical flow simulation, ensuring credibility of simulation outcomes.

Introduces continuous random variables and their probability distributions, emphasizing their applications in statistics and data science.

Explores generating functions, Laplace transform, and their role in probability distributions.

Covers conservation laws, tensor objects, and fluid dynamics in Continuum Mechanics.

Explores Magnetohydrodynamic equilibrium and stability, ideal MHD solutions, 'hairy ball' theorem, and boundary conditions.