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GitHub - guanglei1wang/GraphPartition: This repository includes the implementation of the MPC article "Exploiting sparsity for the min k-partition problem""

This is the implementation oft the MPC article "Exploiting sparsity for the min k-partition problem".

https://doi.org/10.5281/zenodo.3252476

Installation Guide

Authors: Guanglei Wang and Hassan Hijazi

Affiliations: The Australian National University, ACTON 2601, Canberra, Australia; Los Alamos National Laboratory, New Mexico, USA.

Platform

We have successfully compiled and tested our minimum-k partition (MkP) code on both Mac OS and Ubuntu. So users are advised to use our code on Mac OS or Ubuntu.

Solvers

For numerical tests of the MkP formulations in the paper Exploiting sparsity for the min k-partition problem, you need to install and set the following solvers:

  • CPLEX: Academic users can download it from cplex-url.

  • MOSEK: Download Mosek 8 from mosek-url. Refer to mosek-setup for general setup and license.

  • Install and setup Mosek Fusion API for C++ by following instructions in fusion-url.

  • Additionally, you need to set the enviroment variable MOSEK_ROOT_DIR and DYLD_LIBRARY_PATHfor your operating system. For instance, if you install MOSEK 8 under DIR/mosek8/ in a linux platform, you need to add the following to your .bashrc file:

    • export MOSEK_ROOT_DIR = DIR/mosek/8/tools/platform/linux64x86/
    • export DYLD_LIBRARY_PATH= DIR/mosek/8/tools/platform/linux64x86/bin:$DYLD_LIBRARY_PATH

Install min_k_part

Follow the steps below to compile the executable file.

  1. Download and unzip the file Gravity.zip and go to the folder Gravity.
  2. Create a build directory by typing: mkdir build.
  3. Enter this directory in order to perform the compilation: cd build
  4. Type: cmake ...
  5. Compile the MkP executable program by typing: make min_k_part.
  6. Find the executable file min_k_part in the folder ../bin/.

Tests

You are now ready to perform numerical tests stated in the paper.

Test instances

  • All test instances mentioned in the paper can be found in the folder Gravity/data_sets/Minkcut/ and they are in .txt format.

  • For each problem instance, they are generally named by graph_type + the number of vertices in the graph. For instance, spinglass2g_1010.txt refers to the spinglass2g problem instance with 10 x 10 vertices.

    • Since the size of the generated band graphs are also related to the partition parameter k. We additionally add _3 or _4 to specify the instance is used for min-3 partition or min-4 partition test instances.

Syntax

The executable file min_k_part takes four ordered input arguments, namely:

  1. the input graph data *.txt
  2. the integer parameter k (k > 2, we tested k = 3, 4 in our numerical tests)
  3. the formulation name (MIP or Node_edge or MIP_tree or SDP or SDP_tree)
  4. the boolean type for continuous relaxation (true for relax, false for integer program).

Note that MIP corresponds to Model 1 in the paper, Node_edge to Model 2, SDP to Model 3, MIP_tree to Model 4, SDP_tree to Model 5.

All the numerical tests results will also be outputed to the file MkP_result.txt.

Illustration

Example 1: ILP formulations

Assum that you are in the folder Gravity/build and want to valid the result of spinglass2g with k = 3 and |V|= 6 x 6in Table 1, you need to type the following to get results for Model 1

../bin/min_k_part ../data_sets/Minkcut/spinglass2g_66.txt 3 MIP true

../bin/min_k_part ../data_sets/Minkcut/spinglass2g_66.txt 3 MIP false

and

../bin/min_k_part ../data_sets/Minkcut/spinglass2g_66.txt 3 MIP_tree true

../bin/min_k_part ../data_sets/Minkcut/spinglass2g_66.txt 3 MIP_tree false

to get results for Model 4.

You should get similar results as below in Gravity/build/MkP_result.txt:

3, 36, 12.1644, -2.14607e+06
3, 36, 12.9085, -2.14607e+06
3, 36, 0.159482, -2.14607e+06
3, 36, 0.368595, -2.14607e+06

Each row shows the corresponding result of each command line above. Thus we have four rows. The first column is parameter k; the second is the number of nodes which is 6x6=36; the third column is the CPU time in seconds; the fourth is the optimal value, by which you can calculate the optimality gap (0 for this test instance) for their continuous relaxations.

Since the data in MkP_result.txtis separated by comma, you can open this csv (comma-separated-value) file using MS Excel and calculate the optimality gap easily.

Example 2: ISDP formulations

We illustrate tests of ISDP formulations (Model 3 and Model 5 in our paper) with instance (4, 11x11), spinglass2g in Table 3. You need to type the following to get results for Model 3:

../bin/min_k_part ../data_sets/Minkcut/spinglass2g_1111.txt 4 SDP true

and ../bin/min_k_part ../data_sets/Minkcut/spinglass2g_1111.txt 4 SDP_tree true

for Model 5.

You should get similar results as below in Gravity/build/MkP_result.txt:

4,121,145.845, -8.44258e+06
4,121,1.12703, -8.45322e+06

Run multiple tests using the bash script

If you want to run multiple the problem instances in the paper, you can use the bash script called exp.sh that we provided in folder Gravity.

  1. Copy the exp.sh file to your build folder.

  2. Modify the content of the exp.sh file to run corresponding set of numerical experiments.

  3. In your build folder, type ./exp.sh.

  4. check the result in MkP_result.txt.

Contact

Guanglei Wang: guanglei.wang@anu.edu.au

Hassan Hijazi: hassan.hijazi@anu.edu.au