From b07cf944a680aab013a3da211ba5e8bc93e4c3ed Mon Sep 17 00:00:00 2001 From: msurl <masur101@hhu.de> Date: Wed, 3 Jun 2020 13:26:20 +0200 Subject: [PATCH] added week 3 progress --- journal/progress.md | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/journal/progress.md b/journal/progress.md index 8dc3e45..07aaed2 100644 --- a/journal/progress.md +++ b/journal/progress.md @@ -48,3 +48,21 @@ - This paper references several other papers which deal with the topic. So I've also read the following _An Integer Programming Approach for Fault-Tolerant Connected Dominating Sets_. But they also used the vertex-separator constraints and a lazy approach. - Their results quite good. So I guess it also makes sense to make some research how the graphs they used "looked like" and what characteristics they had that our graphs not have. +# Week 3 +## Python +### runtime +* I found a bug in my implementation where vertex separators between connected subsets and the root where added + - I added some of the separators redundantly instead of adding different separators + - So I tried to fix this bug. If too many different separators are added beforehand the runtime increases again. + - And for whatever reason it seems like adding separators redundantly improves the runtime. I tried a different method where from the same set of separators, those separators where either added redundantly or separately. In the case where they were added redundantly the runtime was significantly better. + +## thesis +* I wrote two paragraphs. + - The first about the methods and definitions used in the thesis. + - The second about the ILP-Models used and the implementation. + +## literature +* I read through _Solving the Maximum-Weight Connected Subgraph Problem to Optimality_ to understand the connectivity constraints used here. + + + -- GitLab