From: A method with inertial extrapolation step for convex constrained monotone equations
DIM | \((x_{0}, x_{1})\) | IPDY | PDY | ||||
---|---|---|---|---|---|---|---|
NI | NF | CPU | NI | NF | CPU | ||
1000 | \((x_{1},x_{2})\) | 2 | 6 | 0.047603 | 2 | 6 | 0.00627 |
\((x_{2},x_{2})\) | 2 | 6 | 0.005977 | 2 | 6 | 0.003122 | |
\((x_{3},x_{3})\) | 2 | 6 | 0.004191 | 2 | 6 | 0.004575 | |
\((x_{4},x_{4})\) | 2 | 6 | 0.010495 | 2 | 6 | 0.003937 | |
\((x_{5},x_{5})\) | 2 | 6 | 0.005327 | 2 | 6 | 0.003846 | |
\((x_{6},x_{6})\) | 2 | 6 | 0.011041 | 2 | 6 | 0.002927 | |
\((x_{7},x_{7})\) | 2 | 6 | 0.005492 | 2 | 6 | 0.003468 | |
5000 | \((x_{1},x_{2})\) | 2 | 6 | 0.031877 | 2 | 6 | 0.096079 |
\((x_{2},x_{2})\) | 2 | 6 | 0.014782 | 2 | 6 | 0.020704 | |
\((x_{3},x_{3})\) | 2 | 6 | 0.017518 | 2 | 6 | 0.011814 | |
\((x_{4},x_{4})\) | 2 | 6 | 0.056106 | 2 | 6 | 0.008442 | |
\((x_{5},x_{5})\) | 2 | 6 | 0.033729 | 2 | 6 | 0.01061 | |
\((x_{6},x_{6})\) | 2 | 6 | 0.013977 | 2 | 6 | 0.018209 | |
\((x_{7},x_{7})\) | 2 | 6 | 0.019215 | 2 | 6 | 0.011608 | |
10,000 | \((x_{1},x_{2})\) | 2 | 6 | 0.037551 | 2 | 6 | 0.078449 |
\((x_{2},x_{2})\) | 2 | 6 | 0.025921 | 2 | 6 | 0.054769 | |
\((x_{3},x_{3})\) | 2 | 6 | 0.02794 | 2 | 6 | 0.013808 | |
\((x_{4},x_{4})\) | 2 | 6 | 0.017372 | 2 | 6 | 0.045487 | |
\((x_{5},x_{5})\) | 2 | 6 | 0.14848 | 2 | 6 | 0.050758 | |
\((x_{6},x_{6})\) | 2 | 6 | 0.089886 | 2 | 6 | 0.018096 | |
\((x_{7},x_{7})\) | 2 | 6 | 0.21488 | 2 | 6 | 0.016159 | |
50,000 | \((x_{1},x_{2})\) | 2 | 6 | 0.11667 | 2 | 6 | 0.076694 |
\((x_{2},x_{2})\) | 2 | 6 | 0.087319 | 2 | 6 | 0.06213 | |
\((x_{3},x_{3})\) | 2 | 6 | 0.093389 | 2 | 6 | 0.060762 | |
\((x_{4},x_{4})\) | 2 | 6 | 0.072841 | 2 | 6 | 0.045131 | |
\((x_{5},x_{5})\) | 2 | 6 | 0.17981 | 2 | 6 | 0.096853 | |
\((x_{6},x_{6})\) | 2 | 6 | 0.19816 | 2 | 6 | 0.11699 | |
\((x_{7},x_{7})\) | 2 | 7 | 0.12229 | 2 | 7 | 0.08756 | |
100,000 | \((x_{1},x_{2})\) | 2 | 6 | 0.42528 | 2 | 6 | 0.15701 |
\((x_{2},x_{2})\) | 2 | 6 | 0.27468 | 2 | 6 | 0.18368 | |
\((x_{3},x_{3})\) | 2 | 6 | 0.29093 | 2 | 6 | 0.37375 | |
\((x_{4},x_{4})\) | 2 | 6 | 0.14828 | 2 | 6 | 0.16735 | |
\((x_{5},x_{5})\) | 2 | 6 | 0.22 | 2 | 6 | 0.08926 | |
\((x_{6},x_{6})\) | 2 | 6 | 0.23811 | 2 | 6 | 0.12826 | |
\((x_{7},x_{7})\) | 2 | 7 | 0.40503 | 2 | 7 | 0.17219 |