Submitter | Variables | Constraints | Density | Status | Group | Objective | MPS File |
---|---|---|---|---|---|---|---|
Pelin Damci-Kurt | 111827 | 168336 | 2.55124e-05 | easy | physiciansched | 49324 | physiciansched6-2.mps.gz |
Physician scheduling problem for hospitalist, radiology and kidney specialist groups.
Detailed explanation of the following tables can be found here.
Original | Presolved | |
---|---|---|
Variables | 111827 | 19245 |
Constraints | 168336 | 37882 |
Binaries | 109346 | 18151 |
Integers | 0 | 0 |
Continuous | 2481 | 1094 |
Implicit Integers | 0 | 0 |
Fixed Variables | 1373 | 0 |
Nonzero Density | 2.55124e-05 | 1.42953e-04 |
Nonzeroes | 480259 | 104218 |
Original | Presolved | |
---|---|---|
Total | 168336 | 37882 |
Empty | 10599 | 0 |
Free | 0 | 0 |
Singleton | 10534 | 0 |
Aggregations | 0 | 0 |
Precedence | 35599 | 21370 |
Variable Bound | 72838 | 8117 |
Set Partitioning | 0 | 0 |
Set Packing | 763 | 477 |
Set Covering | 78 | 1123 |
Cardinality | 0 | 0 |
Invariant Knapsack | 12725 | 1507 |
Equation Knapsack | 0 | 0 |
Bin Packing | 15650 | 4528 |
Knapsack | 4636 | 22 |
Integer Knapsack | 0 | 0 |
Mixed Binary | 4914 | 738 |
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 | 2.562293 | ||||
Constraint % | 0.00264 | 0.246681 | 0.0739137 | 6.47801 | |
Variable % | 0.00646 | 0.162259 | 0.0484778 | 4.21110 | |
Score | 0.890244 |
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 | 49324 | 49324 | 0 | 0 | 0 | - | 2018-10-11 | Solution found during MIPLIB2017 problem selection. |
The following instances are most similar to physiciansched6-2 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