Submitter Variables Constraints Density Status Group Objective MPS File
Jeff Linderoth 268859 180214 2.79027e-05 easy neos-pseudoapplication-69 -9946659.921 neos-4984115-canche.mps.gz

Instance Statistics

Detailed explanation of the following tables can be found here.

Size Related Properties
Original Presolved
Variables 268859 268859
Constraints 180214 180214
Binaries 0 0
Integers 65 65
Continuous 268794 268794
Implicit Integers 0 0
Fixed Variables 0 0
Nonzero Density 2.79027e-05 2.79027e-05
Nonzeroes 1351940 1351940
Constraint Classification Properties
Original Presolved
Total 180214 180214
Empty 0 0
Free 0 0
Singleton 0 0
Aggregations 119078 119078
Precedence 0 0
Variable Bound 7230 7230
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 38587 38587
General Linear 15319 15319
Indicator 0 0

Structure

Available nonzero structure and decomposition information. Further information can be found here.

value min median mean max
Components
Constraint %
Variable %
Score

Best Known Solution(s)

No solution available for neos-4984115-canche .

Similar instances in collection

The following instances are most similar to neos-4984115-canche 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.

Instance Variables Binaries Integers Continuous Constraints Nonz. Submitter Group Status Objective
neos-5018451-chiese 265713 1222 244 264247 170175 1249960 Jeff Linderoth neos-pseudoapplication-69 easy -147988824.81
neos-3754224-navua 150228 3574 0 146654 232387 652974 Jeff Linderoth neos-pseudoapplication-83 easy Infeasible
eva1aprime5x5opt 1712 400 0 1312 11929 57162 Yoshihiro Kanno evaprime open -10.04881147049*
eva1aprime6x6opt 3514 836 0 2678 34872 161558 Yoshihiro Kanno evaprime open -3.04087065621*
stockholm 20644 962 0 19682 57346 171076 Paul Rubin open 126*

Reference

No bibliographic information available

Last Update Nov 17, 2018 by Gregor Hendel
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