MIPLIB 2010
Problems with unknown feasibility [Return to complete MIPLIB 2010 problem list]
Click here for legend of abbreviations and links to subsets

Status
Name
Sets
C
Rows
Cols
NZs
Int
Bin
Con
Objective
AGG
VBD
PAR
PAC
COV
CAR
EQK
BIN
IVK
KNA
IKN
M01
GEN
datt256
C BP
11077
262144
1503732
262144
?
X
X
X
f2000
C R BP
10500
4000
29500
4000
?
X
X
X
neos-952987
C BP
354
31329
90384
31329
?
X
X
X
X
ns1778858
C BP
10666
4720
32673
4720
?
X
X
X
X
ns1905800
C MIP
8289
3228
38100
3
3030
195
?
X
X
X
X
X
zib01
C X BP
5887041
12471400
49877768
12471400
?
X
X
X
Status
Name
Sets
C
Rows
Cols
NZs
Int
Bin
Con
Objective
AGG
VBD
PAR
PAC
COV
CAR
EQK
BIN
IVK
KNA
IKN
M01
GEN

Legend
Problem Status
Easy -
instance can be solved within one hour using a commercial solver
Hard -
instance has been solved, but is not considered easy
Open -
optimal solution to instance is unknown

Instance Set List
B Benchmark set
C Challenge set
I Infeasible set
P Primal set
U Unstable set
R Reoptimize set
T Tree set
X XXL - extra large instances

Problem Type List
BP Binary Program - All variables are binary
IP Integer Program - All variables are integer
MBP Mixed Binary Program - All variables are binary or continuous
MIP Mixed Integer Program - Variables can be integer or continuous

Note: The problem types are used to partition the instances. Instances that match more than one type are grouped into the least general set.

Problem Feasibility List
Feasible Problems - a feasible solution is known
Infeasible Problems - the problem was proven to be infeasible
Unknown Feasiblility - no feasible solution is know, but the problem was not proven to be infeasible

Constraint Type Legend
AGG Aggregation
VBD Variable Bound
PAR Set Partition
PAC Set Packing
COV Set Cover
CAR Cardinality
EQK Equality Knapsack
BIN Bin Packing
IVK Invariant Knapsack
KNA Knapsack
IKN Integer Knapsack
M01 Mixed Binary
GEN General All other constraint types

Note: If a constraint matches more than one type, it is counted for the one
with highest priority (lowest number). Scaling and negation of binary are
applied to match constraint types.

Last Update December 6, 2016 by Gerald Gamrath
© 2016 by Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB)
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