| Submitter | Variables | Constraints | Density | Status | Group | Objective | MPS File |
|---|---|---|---|---|---|---|---|
| Alexandra M. Newman | 745 | 26159 | 6.62567e-03 | easy | – | 3336.23984845 | ci-s4.mps.gz |
minimizing violence in a counterinsurgency model (lot os regressions built in)
Detailed explanation of the following tables can be found here.
| Original | Presolved | |
|---|---|---|
| Variables | 745 | 745 |
| Constraints | 26159 | 26159 |
| Binaries | 355 | 355 |
| Integers | 150 | 150 |
| Continuous | 240 | 240 |
| Implicit Integers | 0 | 0 |
| Fixed Variables | 0 | 0 |
| Nonzero Density | 0.00662567 | 0.00662567 |
| Nonzeroes | 129124 | 129124 |
| Original | Presolved | |
|---|---|---|
| Total | 26159 | 26159 |
| Empty | 0 | 0 |
| Free | 0 | 0 |
| Singleton | 0 | 0 |
| Aggregations | 115 | 115 |
| Precedence | 93 | 93 |
| Variable Bound | 390 | 390 |
| Set Partitioning | 0 | 0 |
| 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 | 1651 | 1651 |
| General Linear | 23910 | 23910 |
| 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 | 1.612784 | ||||
| Constraint % | 0.003820 | 2.34215 | 0.003820 | 6.22204 | |
| Variable % | 0.268456 | 2.10738 | 0.268456 | 9.39597 | |
| Score | 0.894018 |
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 | 3336.24 | 3336.24 | 0 | 0 | 0 | - | 2018-10-11 | Solution found during MIPLIB2017 problem selection. |
The following instances are most similar to ci-s4 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.
We have a working paper, to be submitted in a few months.