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318 CHAPTER 18. PROBLEM ANALYZER EXAMPLES
18.3 Problem with both linear and quadratic constraints
Analyzing the problem
Constraints Bounds Variables
lower bd: 40 upper bd: 1 cont: all
upper bd: 121 fixed : 204
fixed : 5480 free : 5600
ranged : 161 ranged : 40
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Objective, maximize cx
range: all |c| in {0.00000, 15.4737}
distrib: |c| vars
0 5844
15.4737 1
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Constraint matrix A has
5802 rows (constraints)
5845 columns (variables)
6480 (0.0191079%) nonzero entries (coefficients)
Row nonzeros, A i
range: min A i: 0 (0%) max A i: 3 (0.0513259%)
distrib: A i rows rows% acc%
0 80 1.38 1.38
1 5003 86.23 87.61
2 680 11.72 99.33
3 39 0.67 100.00
0/80 empty rows have quadratic terms
Column nonzeros, A|j
range: min A|j: 0 (0%) max A|j: 15 (0.258532%)
distrib: A|j cols cols% acc%
0 204 3.49 3.49
1 5521 94.46 97.95
2 40 0.68 98.63
[3, 7] 40 0.68 99.32
[8, 15] 40 0.68 100.00
0/204 empty columns correspond to variables used in conic
and/or quadratic expressions only
A nonzeros, A(ij)
range: min |A(ij)|: 2.02410e-05 max |A(ij)|: 35.8400
distrib: A(ij) coeffs
[2.02e-05, 0.0001) 40
[0.0001, 0.001) 118
[0.001, 0.01) 305
[0.01, 0.1) 176
[0.1, 1) 40
[1, 10) 5721
[10, 35.8] 80
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