Transportation Optimization: Modeling and Solution

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (31)

Page 1 of 4

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.

Numerical Methods: Euler and Crank-Nicolson

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

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.

Higher Order Methods: Iterative Techniques

Covers higher order methods for solving equations iteratively, including fixed point methods and Newton's method.

Numerics: semester project

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

Numerical Analysis: Stability in ODEs

Covers the stability analysis of ODEs using numerical methods and discusses stability conditions.

Runge-Kutta Methods

Explains the Runge-Kutta methods, particularly the explicit scheme of order 4 (ERK4), and how to optimize parameters for accuracy.

Runge-Kutta and Multi-Step Methods

Covers Runge-Kutta and multi-step methods in Chapter 6, including high-order methods and MATLAB examples.

Activity-Based Costing

Introduces Activity-Based Costing (ABC) for cost allocation and analysis in management control.