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Feedback Vertex Set algorithms for various graph classes

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fvs-algorithms

Currently implemented algorithms

Interval Graphs

Implementation inspired by https://www.researchgate.net/publication/228903606_An_algorithm_to_find_a_minimum_feedback_vertex_set_of_an_interval_graph

  • O((N+M)*log(M)) - log comes from sorting input
  • We don't need to explicitly create all cliques, simpler greedy algorithms is enough

Chordal Graphs

Based on https://www.sciencedirect.com/science/article/pii/0166218X88900868

  • Article presents solution to more general problem, for it FVS gives O(N^5) time complexity, I haven't found any faster algorithm
  • I take list of edges as input, test if graph is Chordal, then run dynamic programming solution based on perfect elimination order

Permutation Graphs

Implementation based on https://www.sciencedirect.com/science/article/pii/0020019094001332

  • Works in (N*M)
  • I take permutation as input
  • Pseudocode in the article has lot's of bugs/typos :(

Bipartite-Permutation Graphs

Implementation based on https://www.researchgate.net/publication/261490799_On_Minimum_Feedback_Vertex_Sets_in_Graphs

  • Code takes permutaiton as an input, time complexity is O(N*log(N) + M). In the algorithm we need to list all edges and I don't know any way to do it faster (I use MergeSort)
  • Taking list of edges as an input would require implementing recognition of permutation graph class (possible todo later)
  • I don't know how to generate non-trivial biparite-permutation, right now I tested on all graphs with size <= 10 for correctness and some trivial big ones for performance (seems to be in line with O(N*log(N) + M))
  • Some bugs in pseudocode from paper :(
    • i1 = i1 in line 6, should be i1 = i - 1, similar for j1
    • l(j1) = i2 in line 11, should be l(i1) = j2 instead

Building & running library

Google Test

I use gtest as git submodule third_party/googletest, you can pull it when cloning

git clone --recursive URL

or after cloning by executing

git submodule init
git submodule update

Buck

Before building you need to install buck
https://buckbuild.com/

You can do it by building from sources or as follows:

wget https://github.com/facebook/buck/releases/download/v2019.01.10.01/buck.2019.01.10.01_all.deb
sudo dpkg -i buck.2019.01.10.01_all.deb

build & run tests

in main folder:

buck build test:test
buck test --all

build library

buck build //:fvs-algorithms

build graph_class/main.cpp file

to build chordal/main.cpp use:

buck build //:chordal_main --out executable_name

similar for chordal_main, permutation_main, bipartite_permutation_main

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