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. 2020 Apr 22;17(165):20190828. doi: 10.1098/rsif.2019.0828

Table 1.

Performance of algorithm CI with the heuristics leading to the largest compression on a set of example graphs (see graph descriptions in electronic supplementary material, table S1): size of the expression tree of the expanded Kirchhoff polynomial |ΓE(κ(G))|, size of the compressed expression tree |ΓCI(κ(G))|, heuristic H, compression calculated as the ratio |ΓE(κ(G))|/|ΓCI(κ(G))|, and average running time in seconds obtained from 10 runs (one run for HC4 and COXD) of KirchPy on a Dell laptop with Intel i-7 CPU@2.10 GHz and 8 GB RAM.

G |ΓE(κ(G))| |ΓCI(κ(G))| H compression time (s)
COLE1 157 46 2012 3.4 0.09
AMPAR 211 63 2102 3.3 0.07
MDH 1270 141 2001 9.0 0.27
ACTMYO 3561 142 3003 25.1 0.19
KNF33 15 553 940 3114 16.5 1.41
SHPIL 45 601 786 2204 58.0 1.58
GR 65 742 1280 2102 51.4 1.63
PHO5 640 513 4691 3215 136.5 10.61
RND 967 681 3281 1011 294.9 7.53
TF 38 746 801 1191 2002 32 533 1.84
HC4 679 477 249 333 599 1001 2036 1797
COXD 367 647 474 647 060 221 89 532 1010 4.1 × 1012 661