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Table 4 Gurobi solver metrics on perfect artificial growing data

From: Global exact optimisations for chloroplast structural haplotype scaffolding

\(\mathsf {|{}V|}\)

\(\mathsf {|{}E|}\)

\(\mathsf {|{}SC|}\)

\(\mathsf {|{}IR|}\)

\(|{\mathcal {L}}|\)

Time

Opt.

% Gap

Nodes

Iter.

160

244

20

20

122

0.25

39.00

0.00

1

1242

0.48

39.00

2944

240

404

20

40

162

1.23

79.00

0.00

1

4690

2.54

79.00

10946

320

564

20

60

202

4.27

119.00

0.00

1

8945

10.45

119.00

23864

400

724

20

80

242

12.15

159.00

0.00

1

15196

26.29

159.00

39562

480

884

20

100

282

13.46

199.00

0.00

1

23109

66.28

199.00

68740

560

1044

20

120

322

22.91

239.00

0.00

1

44048

110.98

239.00

97646

640

1204

20

140

362

35.68

279.00

0.00

1

46071

80.26

279.00

125084

720

1364

20

160

402

56.89

319.00

0.00

1

75371

376.74

319.00

256831

800

1524

20

180

442

321.52

359.00

0.00

1

71971

634.01

359.00

196905

880

1684

20

200

482

488.74

399.00

0.00

1

88157

1458.66

399.00

236406

  1. \(\mathsf {|{V}|}\), \(\mathsf {|{E}|}\), \(\mathsf {|{SC}|}\), \(\mathsf {|{IR}|}\) and \(|{\mathcal {L}}|\) respectively stand for the number of vertices, edges, contigs in each single-copy region, contigs in each region of the inverted repeat, and links; Time: the presolve time plus the relaxation time (above) and the B&B time (below); Opt.: the linear relaxation bound \(UB\) (above) and the integer optimal value \(Opt\) (below); % Gap: the MIP gap equals \(100\times \frac{(UB-Opt)}{UB}\); Nodes: number of explored B&B nodes; Iter.: number of iterations for the LP relaxation (above) and for the B&B phase (below)