These are the lecture notes for the class on "Algorithms and Complexity" that I am teaching at the Baden-Wuerttemberg Cooperative State University (DHBW) in Manheim. This repository contains the following directories:

• Lecture-Notes contains the LaTeX sources of my lecture notes. The file Lecture-Notes/algorithms.pdf contains the lecture notes.
• Python contains the Jupyter notebooks that are presented in my class.
• Java contains Java implementations of some of the algorithms presented in my lecture.
• SetlX contains SetlX implementations of the programs presented in my lecture

The notebooks available in this repository can be run via Docker. In order to be able to store changes made to these notebooks it is beneficial to create a local directory Solutions that will contain the github repository. The permissions of the directory Solutions need to be set to 777, i.e. the directory needs to be readable, writeable and executable for everybody. For example, with linux creating this directory and setting the permissions is achieved with the following commands:

    cd
    mkdir Solutions
    chmod 777 Solutions

Next, I suggest cloning the github repository into this directory. This can be done as follows:

    cd Solution
    git clone https://github.com/karlstroetmann/Algorithms.git

The docker image can be downloaded via the following command:

    docker pull karlstroetmann/algorithms

After that, the container can be started as follows:

docker run -p 8888:8888 --rm -v /Users/yourname/Solutions/Algorithms/Python:/home/jovyan/Python/ karlstroetmann/algorithms

Note that you have to replace the directory /Users/yourname with your home directory. Unfortunately, you cannot specify your home directory as ~, sincer Docker does not understand this notation.

Now the directory /Users/yourname/Solutions/Algorithms/Python contains all notebooks locally. This directory should be regularly updated via git pull.

To connect to the container, enter the adress localhost:8888 into your browser. You will then be asked for a token. You find this token in the message that is displayed by the docker run ... command executed previously.