Updated: March 2,2018
Matlab 2018-courseScience-IT at SCI, Aalto University, "continuation course", Heikki Apiola, Juha Kuortti
Session 1Mon 12.2. 12-15, Juha
The first lecture is mostly about handling data; here is a collection of data samples that we'll be using.
Session 2Thu 15.2.2018, 12:00-15:00, Heikki
Matlab-based approach to numerical methods of ordinary differential equation systems.
This is done very much in the spirit of Cleve Moler's book, freely from net: Chapter 7
Solutions to exercise 2
m-files related to lecture 2 (and 3):
Session 3Mon 19.2.2018 at 12:00-15:00, Heikki and Juha
Some applications (hopefully interesting) of ODE-systems, efficient Matlab-programming techniques and coding practices.
SLIDES for Lecture 3
m-files related to lecture 3:
m-files related to Juha's part:
Update: As per requests: the development of the function blockAvg has been added.
Session 4Thu 22.2.2018 at 10:00-13:00, Heikki and Juha
Basic principles and applications of parallel computing using Matlab's parallel toolbox. Basics of GPU-computing. The participants will have access to Triton for parallel computing experiments. A test parallel work can be carrried out on your laptop.
SLIDES for Lecture 4
Solutions to exercise 4
m-files related to lecture 4:
m-files for the GPU part
The demonstrations for the Mandelbrot set will be published after the deadline for the exercises has passed.