Runge-Kutta Methods

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (29)

Page 1 of 3

Explicit Stabilised Methods: Applications to Bayesian Inverse Problems

Explores explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems, covering optimization, sampling, and numerical experiments.

Runge-Kutta Methods: Approximating Differential Equations

Covers the stages of the explicit Runge-Kutta method for approximating y(t) with detailed explanations.

Numerical Methods: Euler and Crank-Nicolson

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

System of ODEs

Explores numerical methods for solving ODE systems, stability regions, and absolute stability importance.

Multistep methods

Covers multistep methods for solving differential equations, focusing on stability conditions and examples.

Optimization methods

Covers optimization methods, focusing on gradient methods and line search techniques.

Numerics: semester project

Covers the semester project on numerics, focusing on adaptive algorithms and multistep methods.

Runge Kutta and Multistep Methods

Explores Runge Kutta and multistep methods for solving ODEs, including Backward Euler and Crank-Nicolson.

High Order Methods: Space Discretisation

Covers high order methods for space discretisation in linear differential systems.

Optimization Methods: Theory Discussion

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.