Streamline Diffusion: Fully Consistent Methods

Related lectures (29)

Page 2 of 3

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

Covers Ordinary Differential Equations, first-order solutions, and numerical methods for IVP and BVP.

Explores inverse monotonicity in numerical methods for differential equations, emphasizing stability and convergence criteria.

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

Explains Lagrange interpolation for numerical integration and introduces Simpson's rules.

Covers Euler and Crank-Nicolson methods for solving differential equations.

Covers Richardson extrapolation for numerical differentiation to reduce error.

Explores unconfined flow in computational geomechanics, emphasizing weak form derivation and relative permeability.

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

Explores the sensitivity of solutions in numerical methods, including linear systems and matrix norms, with an example of deblurring images.