Submitter | Variables | Constraints | Density | Status | Group | Objective | MPS File |
---|---|---|---|---|---|---|---|

Hans Mittelmann | 66612 | 67161 | 5.95584e-05 | easy | neos-pseudoapplication-56 | 1306 | neos-4408804-prosna.mps.gz |

Collection of anonymous submissions to the NEOS Server for Optimization

Detailed explanation of the following tables can be found here.

Original | Presolved | |
---|---|---|

Variables | 66612 | 66612 |

Constraints | 67161 | 67161 |

Binaries | 33306 | 33306 |

Integers | 0 | 0 |

Continuous | 33306 | 33306 |

Implicit Integers | 0 | 0 |

Fixed Variables | 0 | 0 |

Nonzero Density | 5.95584e-05 | 5.95584e-05 |

Nonzeroes | 266448 | 266448 |

Original | Presolved | |
---|---|---|

Total | 67161 | 67161 |

Empty | 0 | 0 |

Free | 0 | 0 |

Singleton | 0 | 0 |

Aggregations | 0 | 0 |

Precedence | 0 | 0 |

Variable Bound | 66612 | 66612 |

Set Partitioning | 366 | 366 |

Set Packing | 0 | 0 |

Set Covering | 0 | 0 |

Cardinality | 0 | 0 |

Invariant Knapsack | 0 | 0 |

Equation Knapsack | 0 | 0 |

Bin Packing | 0 | 0 |

Knapsack | 0 | 0 |

Integer Knapsack | 0 | 0 |

Mixed Binary | 183 | 183 |

General Linear | 0 | 0 |

Indicator | 0 | 0 |

Available nonzero structure and decomposition information. Further information can be found here.

Decomposed structure of original problem (dec-file)

Decomposed structure after trivial presolving (dec-file)

value | min | median | mean | max | |
---|---|---|---|---|---|

Components | 4.221519 | ||||

Constraint % | 0.00596 | 0.00596 | 0.00596 | 0.00596 | |

Variable % | 0.00600 | 0.00600 | 0.00600 | 0.00600 | |

Score | 0.991766 |

Find solutions below. Download the archive containing all solutions from the Download page.

ID | Objective | Exact | Int. Viol | Cons. Viol | Obj. Viol | Submitter | Date | Description |
---|---|---|---|---|---|---|---|---|

1 | 1306 | 1306 | 0 | 0 | 0 | - | 2018-10-15 | Solution found during MIPLIB2017 problem selection. |

The following instances are most similar to neos-4408804-prosna in the collection. This similarity analysis is based on 100 scaled instance features describing properties of the variables, objective function, bounds, constraints, and right hand sides.

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Last Update 2024 by Julian Manns

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