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MIQP-TestSet

Authors: Nohra, Carlos; Raghunathan, Arvind; Sahnidis, Nikolaos;
Abstract

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

Keywords

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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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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