This repository contains the Maros-Meszaros test set in a format suitable for qpbenchmark. Maros-Meszaros is a standard test set containing 138 quadratic programs that are designed to be difficult. Here is the report produced by qpbenchmark:
📈 Maros-Meszaros test set results
The recommended process is to install the benchmark and all solvers in an isolated environment using conda:
conda env create -f environment.yaml
conda activate qpbenchmarkIt is also possible to install the benchmark from PyPI.
Run the test set as follows:
qpbenchmark ./maros_meszaros.py run
The outcome is a standardized report comparing all available solvers against the different benchmark metrics. You can check out and post your own results in the Results forum.
Two subsets are distributed in this repository:
| Subset name | Description | Problems | Results |
|---|---|---|---|
| - | All problems. | 138 / 138 | Report |
| Dense | Only problems with less than |
62 / 138 | Report |
| Dense pos. def. | Only problems from the Dense subset where the cost matrix is positive-definite. | 19 / 138 | Report |
If you use qpbenchmark in your scientific works, please cite it e.g. as follows:
@software{qpbenchmark2024,
author = {Caron, Stéphane and Zaki, Akram and Otta, Pavel and Arnström, Daniel and Carpentier, Justin},
license = {Apache-2.0},
month = jan,
title = {{qpbenchmark: Benchmark for quadratic programming solvers available in Python}},
url = {https://github.com/qpsolvers/qpbenchmark},
version = {2.2.0},
year = {2024}
}