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VIPR: Verifying Integer Programming Results

About

VIPR is new a software project to verify, in exact rational arithmetic, the correctness of results computed by mixed-integer linear programming solvers. It is based on an elementary file format for LP-based branch-and-cut certificates proposed in the article

Kevin K.H. Cheung, Ambros Gleixner, and Daniel E. Steffy: Verifying Integer Programming Results. In: F. Eisenbrand and J. Koenemann, eds., Integer Programming and Combinatorial Optimization: 19th International Conference, IPCO 2017, pp. 148-160, 2017, doi:10.1007/978-3-319-59250-3_13.

This repository contains a detailed technical specification of the certificate file format in Version 1.0 and Version 1.1, software to check, display, compress, and complete certificate files, and supplementary information on the computational experiments conducted for the article above.

The specification and handling of incomplete derivations in Version 1.1 was added for the purpose of the paper

Leon Eifler and Ambros Gleixner: Safe and Verified Gomory Mixed Integer Cuts in a Rational MIP Framework. ZIB-Report 23-09, Zuse Institute Berlin, March 2023.

Please cite both publications if you use VIPR in your work.

Software

VIPR currently provides four C++ scripts, each being called from a terminal together with an appropriate .vipr certificate file:

  • vprchck: A program that verifies mixed-integer linear programming certificate files specified in the .vipr file format.
  • vipr2html: A program that converts .vipr certificate files to a human readable HTML format (not recommended for large files).
  • viprttn: A program that tightens and improves .vipr files, potentially reducing their size and allowing for easier checking.
  • viprcomp: A program that completes incomplete .vipr certificate files using the exact LP solver SoPlex.

File format specification .vipr

A conceptual description of the verified integer programming result (.vipr) file format is given in the above articles. A more detailed technical specification is provided here.

A small example is given as paper_eg3.vipr. Certificates for large MIP instances from the literature can be found as part of the supplementary information of the article.

Installation

The vipr scripts are compiled using CMake.

CMake Build System

CMake is a build system generator that can create, e.g., Makefiles for UNIX and macOS or Visual Studio project files for Windows.

CMake provides an extensive documentation explaining available features and use cases as well as an FAQ section. These are the usual steps on a Linux or macOS system:

mkdir build
cd build
cmake <path/to/vipr>
make

CMake uses an out-of-source build, i.e., compiled binaries and object files are separated from the source tree and located in another directory, e.g, build. From within this directory, run cmake <path/to/vipr> to configure your build, followed by make to compile the code according to the current configuration.

Afterwards, successive calls to make are going to recompile modified source code, without requiring another call to cmake.

Note that in order for viprcomp to run, the SoPlex and therefore ZLIB libraries are required.

If it is not desired to compile viprcomp, it can be turned off in the cmake <path/to/vipr> call by using -DVIPRCOMP=off.

How to use VIPR

After installing, run any of the vipr scripts as ./<viprscript> <path/to/.vipr-file>.

The script viprcomp is the only one with the additional option to set verbosity levels as well as the option to disable SoPlex. The verbosity level of SoPlex can be set to levels 0-5 using the flag --vebosity=<level>. Additional debug output can be enabled using --debugmode=on. If it is known that only weak derivations need to be completed, perfomance can be improved by setting --soplex=off.

An example call for the completion script: ./viprcomp --verbosity=1 --debugmode=off --soplex=on <path/to/.vipr-file>.

Developers and contributors

Software for generating .vipr certificates

An exact rational extension of the solver SCIP is able to produce certificates of MIP results.

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Verifying Integer Programming Results

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