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cvs
Type: | Model Group |
Submitter: | Michael Bastubbe |
Description: | Capacitated vertex separator problem on randomly generated hypergraph with 128 vertices and 89 hyperedges in at most 16 components each including at most 8 vertices. solved with default GCG/Soplex in about 2000 seconds. |
Parent Model Group (cvs)
All other model groups below were be compared against this "query" model group.![]() ![]() |
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Model Group Composite (MGC) image
Composite of the decomposed CCM images for every instance in the query model group.
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Component Instances (Decomposed)
These are the decomposed CCM images for each instance in the query model group.![]() ![]() |
These are component instance images.
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Name | cvs08r139-94 | cvs16r70-62 | cvs16r89-60 | cvs16r106-72 | cvs16r128-89 |
MIC Top 5 Model Groups
These are the 5 MGC images that are most similar to the MGC image for the query model group, according to the ISS metric.![]() ![]() |
FIXME - These are model group composite images.
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Name | neos-pseudoapplication-14 | sing | graphs | allcolor | aflow | |
Rank / ISS
The image-based structural similarity (ISS) metric measures the Euclidean distance between the image-based feature vectors for the query model group and all other model groups. A smaller ISS value indicates greater similarity.
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1 / 0.869 | 2 / 0.895 | 3 / 1.032 | 4 / 1.071 | 5 / 1.130 |
Model Group Summary
The table below contains summary information for cvs, and for the five most similar model groups to cvs according to the MIC.
MODEL GROUP | SUBMITTER | DESCRIPTION | ISS | RANK | |
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Parent Model Group | cvs | Michael Bastubbe | Capacitated vertex separator problem on randomly generated hypergraph with 128 vertices and 89 hyperedges in at most 16 components each including at most 8 vertices. solved with default GCG/Soplex in about 2000 seconds. | 0.000000 | - |
MIC Top 5 | neos-pseudoapplication-14 | Jeff Linderoth | (None provided) | 0.869092 | 1 |
sing | Daniel Espinoza | Imported from the MIPLIB2010 submissions. | 0.895176 | 2 | |
graphs | Michael Bastubbe | Packing Cuts in Undirected Graphs. Models are described in 4.1. | 1.031581 | 3 | |
allcolor | Domenico Salvagnin | Prepack optimization model. | 1.071482 | 4 | |
aflow | T. Achterberg | Arborescence flow problem on a graph with 40 nodes and edge density 0.9 | 1.130119 | 5 |