Table 3:

Convex regression. Times are reported as averages over 3 replicates.

		Time (s)			Loss ×103			Distance ×104			MSE ×102
d	m	MM	SD	ADMM	MM	SD	ADMM	MM	SD	ADMM	MM	SD	ADMM
1	50	0.015 (0.00477)	0.0109 (0.00162)	0.0171 (0.0033)	454	454	454	87.3	87.4	87.5	70.1	70.1	70.1
	100	0.0382 (0.002)	0.0311 (0.000301)	0.0578 (0.00179)	510	510	510	94.3	94.4	94.5	75.3	75.3	75.3
	200	0.138 (0.00662)	0.0991 (0.00138)	0.205 (0.00213)	471	471	471	92.2	92.2	92.2	71	71	71
	400	0.565 (0.012)	0.464 (0.000493)	0.862 (0.0184)	501	501	501	96.9	97	97	79.1	79.1	79.1
2	50	1.71 (0.00334)	0.693 (0.00341)	16 (0.00511)	122	126	118	85.9	85.3	85.5	72.2	73.1	70.8
	100	11.8 (0.0189)	3.33 (0.00704)	66.6 (0.0844)	162	163	162	99.4	98	98.4	95.4	95.8	95.1
	200	51.4 (0.0701)	14.1 (0.00805)	230 (0.273)	233	234	233	98.1	94.2	96.8	123	123	122
	400	200 (1.06)	50.3 (0.299)	917 (1.48)	239	239	238	94.3	90.8	91.9	140	140	140
10	50	0.19 (0.00281)	0.00722 (9.99 × 10−5)	0.196 (0.00743)	0.000891	0.00109	0.000838	0.821	2.23	0.488	8.59	8.63	8.61
	100	0.854 (0.0002)	0.0644 (0.000503)	0.873 (0.00191)	0.000937	0.00097	0.000943	0.154	0	0.11	10.3	10.2	10.3
	200	3.77 (0.00486)	0.398 (0.00888)	3.89 (0.0132)	0.000883	0.00099	0.00101	0.281	0	0.292	9.64	9.63	9.65
	400	26.8 (0.405)	3.17 (0.0183)	27.6 (0.0488)	0.000992	0.000997	0.000999	0.185	0.288	0.176	9.41	9.42	9.39
20	50	0.39 (0.00132)	0.00791 (2.6 × 10−5)	0.399 (0.00193)	0.000991	0.00542	0.00091	0.027	7.06	0.0696	9.77	9.34	9.57
	100	1.46 (0.000164)	0.0684 (0.000174)	1.58 (0.0329)	0.000995	0.000965	0.000996	0.0308	0	0	9.13	9.22	9
	200	7.7 (0.166)	0.414 (0.00109)	7.78 (0.0105)	0.000984	0.00113	0.000961	0.251	1.74	0.438	9.6	9.61	9.6
	400	30.2 (0.0275)	3.03 (0.00605)	30 (0.0157)	0.000997	0.00105	0.00142	0.0921	1.68	0.646	10	10.2	10.2