| Submitter | Variables | Constraints | Density | Status | Group | Objective | MPS File |
|---|---|---|---|---|---|---|---|
| Harald Schilly | 25776 | 45262 | 2.3997e-04 | easy | lectsched | 0 | lectsched-3.mps.gz |
University lecture scheduling instance Imported from MIPLIB2010.
Detailed explanation of the following tables can be found here.
| Original | Presolved | |
|---|---|---|
| Variables | 25776 | 7884 |
| Constraints | 45262 | 15503 |
| Binaries | 25319 | 7695 |
| Integers | 457 | 189 |
| Continuous | 0 | 0 |
| Implicit Integers | 0 | 0 |
| Fixed Variables | 0 | 0 |
| Nonzero Density | 0.000239970 | 0.000573202 |
| Nonzeroes | 279967 | 70060 |
| Original | Presolved | |
|---|---|---|
| Total | 45262 | 15503 |
| Empty | 0 | 0 |
| Free | 0 | 0 |
| Singleton | 1889 | 0 |
| Aggregations | 6 | 2 |
| Precedence | 70 | 40 |
| Variable Bound | 132 | 1649 |
| 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 | 2536 | 688 |
| Mixed Binary | 0 | 0 |
| General Linear | 40629 | 13124 |
| 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 | 0.30103 | ||||
| Constraint % | 100.000 | 100.000 | 100.000 | 100.000 | |
| Variable % | 50.278 | 50.278 | 50.278 | 50.278 | |
| Score | 0.49722 |
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 | - | 2018-10-11 | Solution found during MIPLIB2017 problem selection. |
The following instances are most similar to lectsched-3 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.
@mastersthesis{Schilly2007,
author = {Harald Schilly},
language = {german},
school = {Universit{\"a}t Wien},
title = {Modellierung und {I}mplementation eines {V}orlesungsplaners},
type = {Diploma thesis},
year = {2007}
}