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Introduction The test set provides a large collection of nonconvex problems consisting of quadratic, binary quadratic and integer quadratic programs. At a Glance The size of the unzipped dataset is ~803MB. The dataset contains the instances used in the manuscript “Spectral Relaxations and Branching Strategies for Global Optimization of Mixed-Integer Quadratic Programs” by Nohra, Raghunathan and Sahinidis (see Citation section). Files in the unzipped folder: README.md BoxQP_instances_data/ CBQP_instances_data/ EIQP_instances_data/ QSAP_instances_data/ TestSetDescription.pdf. The format of the test instances are described in TestSetDescription.pdf. Citation If you use MIQP-TestSet in your research, please cite our paper: @article{doi:10.1137/19M1271762, author = {Nohra, Carlos J. and Raghunathan, Arvind U. and Sahinidis, Nikolaos}, title = {Spectral Relaxations and Branching Strategies for Global Optimization of Mixed-Integer Quadratic Programs}, journal = {SIAM Journal on Optimization}, volume = {31}, number = {1}, pages = {142-171}, year = {2021}, doi = {10.1137/19M1271762}, } Copyright and License The MIQP-TestSet dataset is released under CC-BY-SA-4.0 license. All data: Created by Mitsubishi Electric Research Laboratories (MERL), 2020, 2023 SPDX-License-Identifier: CC-BY-SA-4.0
Quadratic Semi-Assignment Problems, Nonconvex Quadratic Programs, Cardinality constrained Binary Quadratic Programs, Mixed Integer Quadratic Programs, Equality constrained Integer Quadratic Programs
Quadratic Semi-Assignment Problems, Nonconvex Quadratic Programs, Cardinality constrained Binary Quadratic Programs, Mixed Integer Quadratic Programs, Equality constrained Integer Quadratic Programs
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