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. Author manuscript; available in PMC: 2019 Oct 24.
Published in final edited form as: J Mach Learn Res. 2019 Apr;20:66.

Table 6:

CPU times and optima for testing the copositivity of random symmetric matrices. Here n is the size of matrix, PD is the proximal distance algorithm, aPD is the accelerated proximal distance algorithm, and Mosek is the Mosek solver.

Dimension Optima CPU Seconds
n PD aPD Mosek PD aPD Mosek
4 −0.391552 −0.391561 infeasible 0.0029 0.0031 0.0024
8 −0.911140 −2.050316 infeasible 0.0037 0.0044 0.0045
16 −1.680697 −1.680930 infeasible 0.0199 0.0272 0.0062
32 −2.334520 −2.510781 infeasible 0.0261 0.0242 0.0441
64 −3.821927 −3.628060 infeasible 0.0393 0.0437 0.6559
128 −5.473609 −5.475879 infeasible 0.0792 0.0798 38.3919
256 −7.956365 −7.551814 infeasible 0.1632 0.1797 456.1500