Lectures related to Nonlinear Model Predictive Control: Stability and Design Steps

Explores the Thomas algorithm for tridiagonal systems and the accuracy of direct methods in numerical computations.

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

Explores boundary value problems, finite difference method, and Joule heating examples in 1D.

Covers Richardson extrapolation for numerical differentiation to reduce error.

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

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

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