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

Hans Mittelmann | 12393 | 7147 | 5.14971e-03 | easy | neos-pseudoapplication-51 | 0 | neos-4797081-pakoka.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 | 12393 | 12369 |

Constraints | 7147 | 6828 |

Binaries | 9930 | 9984 |

Integers | 2463 | 2385 |

Continuous | 0 | 0 |

Implicit Integers | 0 | 0 |

Fixed Variables | 0 | 0 |

Nonzero Density | 0.00514971 | 0.00539670 |

Nonzeroes | 456124 | 455781 |

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

Total | 7147 | 6828 |

Empty | 0 | 0 |

Free | 0 | 0 |

Singleton | 319 | 0 |

Aggregations | 0 | 0 |

Precedence | 3252 | 3252 |

Variable Bound | 0 | 0 |

Set Partitioning | 0 | 0 |

Set Packing | 1655 | 1655 |

Set Covering | 0 | 0 |

Cardinality | 0 | 24 |

Invariant Knapsack | 0 | 0 |

Equation Knapsack | 0 | 0 |

Bin Packing | 0 | 0 |

Knapsack | 0 | 0 |

Integer Knapsack | 0 | 0 |

Mixed Binary | 0 | 0 |

General Linear | 1921 | 1897 |

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 | 3.284882 | ||||

Constraint % | 0.0146585 | 0.0373463 | 0.0146585 | 0.1759010 | |

Variable % | 0.0484144 | 0.0506852 | 0.0484144 | 0.0645526 | |

Score | 0.718865 |

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

The following instances are most similar to neos-4797081-pakoka 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.

`No bibliographic information available`

Last Update 2024 by Julian Manns

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