mddnmr1.2c mdd_out_141_166.mdd 100 0 300 1e-8 0.01 709 250 Wed Oct 26 13:08:34 EDT 2011 ITER[0]: Lambda=0.01, LRes=0.35334, TrueRes=0.335945, MFlop/s=312.569 ITER[1]: Lambda=0.01, LRes=0.185543, TrueRes=0.164329, MFlop/s=163.839 ITER[2]: Lambda=0.01, LRes=0.147406, TrueRes=0.12278, MFlop/s=11.2116 ITER[3]: Lambda=0.01, LRes=0.130957, TrueRes=0.103945, MFlop/s=6.22923 ITER[4]: Lambda=0.01, LRes=0.12357, TrueRes=0.0957812, MFlop/s=7.07695 ITER[5]: Lambda=0.01, LRes=0.118889, TrueRes=0.0906987, MFlop/s=33.0318 ITER[6]: Lambda=0.01, LRes=0.115732, TrueRes=0.0873805, MFlop/s=534.68 ITER[7]: Lambda=0.01, LRes=0.113503, TrueRes=0.0851273, MFlop/s=678.92 ITER[8]: Lambda=0.01, LRes=0.111836, TrueRes=0.0834947, MFlop/s=657.352 ITER[9]: Lambda=0.01, LRes=0.110541, TrueRes=0.0822557, MFlop/s=679.225 ITER[10]: Lambda=0.01, LRes=0.109506, TrueRes=0.0812838, MFlop/s=679.745 ITER[11]: Lambda=0.01, LRes=0.108657, TrueRes=0.0804927, MFlop/s=213.644 ITER[12]: Lambda=0.01, LRes=0.107943, TrueRes=0.0798221, MFlop/s=235.149 ITER[13]: Lambda=0.01, LRes=0.107327, TrueRes=0.0792358, MFlop/s=202.958 ITER[14]: Lambda=0.01, LRes=0.10679, TrueRes=0.0787174, MFlop/s=210.08 ITER[15]: Lambda=0.01, LRes=0.10632, TrueRes=0.0782629, MFlop/s=201.299 ITER[16]: Lambda=0.01, LRes=0.105908, TrueRes=0.0778707, MFlop/s=185.981 ITER[17]: Lambda=0.01, LRes=0.105547, TrueRes=0.0775351, MFlop/s=181.684 ITER[18]: Lambda=0.01, LRes=0.105226, TrueRes=0.0772459, MFlop/s=166.418 ITER[19]: Lambda=0.01, LRes=0.104936, TrueRes=0.0769914, MFlop/s=176.832 ITER[20]: Lambda=0.01, LRes=0.104669, TrueRes=0.0767608, MFlop/s=167.991 ITER[21]: Lambda=0.01, LRes=0.104418, TrueRes=0.0765455, MFlop/s=125.955 ITER[22]: Lambda=0.01, LRes=0.104178, TrueRes=0.0763382, MFlop/s=124.198 ITER[23]: Lambda=0.01, LRes=0.103948, TrueRes=0.0761334, MFlop/s=179.821 ITER[24]: Lambda=0.01, LRes=0.10373, TrueRes=0.0759321, MFlop/s=229.495 ITER[25]: Lambda=0.01, LRes=0.103531, TrueRes=0.0757438, MFlop/s=270.97 ITER[26]: Lambda=0.01, LRes=0.103354, TrueRes=0.0755746, MFlop/s=251.396 ITER[27]: Lambda=0.01, LRes=0.103193, TrueRes=0.0754216, MFlop/s=331.449 ITER[28]: Lambda=0.01, LRes=0.103044, TrueRes=0.0752805, MFlop/s=324.037 ITER[29]: Lambda=0.01, LRes=0.102906, TrueRes=0.0751486, MFlop/s=641.131 ITER[30]: Lambda=0.01, LRes=0.102775, TrueRes=0.0750243, MFlop/s=449.404 ITER[31]: Lambda=0.01, LRes=0.102652, TrueRes=0.0749065, MFlop/s=56.4303 ITER[32]: Lambda=0.01, LRes=0.102535, TrueRes=0.0747945, MFlop/s=140.733 ITER[33]: Lambda=0.01, LRes=0.102424, TrueRes=0.0746876, MFlop/s=136.473 ITER[34]: Lambda=0.01, LRes=0.102318, TrueRes=0.0745855, MFlop/s=144.157 ITER[35]: Lambda=0.01, LRes=0.102217, TrueRes=0.0744881, MFlop/s=144.789 ITER[36]: Lambda=0.01, LRes=0.102121, TrueRes=0.0743953, MFlop/s=87.8381 ITER[37]: Lambda=0.01, LRes=0.10203, TrueRes=0.074307, MFlop/s=275.875 ITER[38]: Lambda=0.01, LRes=0.101943, TrueRes=0.0742231, MFlop/s=298.477 ITER[39]: Lambda=0.01, LRes=0.101861, TrueRes=0.0741434, MFlop/s=335.709 ITER[40]: Lambda=0.01, LRes=0.101783, TrueRes=0.0740678, MFlop/s=335.637 ITER[41]: Lambda=0.01, LRes=0.101709, TrueRes=0.0739958, MFlop/s=8.02027 ITER[42]: Lambda=0.01, LRes=0.101639, TrueRes=0.0739273, MFlop/s=6.12725 ITER[43]: Lambda=0.01, LRes=0.101572, TrueRes=0.073862, MFlop/s=7.79415 ITER[44]: Lambda=0.01, LRes=0.101509, TrueRes=0.0737996, MFlop/s=16.7338 ITER[45]: Lambda=0.01, LRes=0.101449, TrueRes=0.0737401, MFlop/s=192.952 ITER[46]: Lambda=0.01, LRes=0.101391, TrueRes=0.0736832, MFlop/s=676.246 ITER[47]: Lambda=0.01, LRes=0.101336, TrueRes=0.0736288, MFlop/s=673.394 ITER[48]: Lambda=0.01, LRes=0.101283, TrueRes=0.0735768, MFlop/s=675.903 ITER[49]: Lambda=0.01, LRes=0.101232, TrueRes=0.073527, MFlop/s=679.106 ITER[50]: Lambda=0.01, LRes=0.101183, TrueRes=0.0734792, MFlop/s=677.427 ITER[51]: Lambda=0.01, LRes=0.101136, TrueRes=0.0734334, MFlop/s=29.6707 ITER[52]: Lambda=0.01, LRes=0.10109, TrueRes=0.0733895, MFlop/s=141.665 ITER[53]: Lambda=0.01, LRes=0.101046, TrueRes=0.0733472, MFlop/s=135.832 ITER[54]: Lambda=0.01, LRes=0.101002, TrueRes=0.0733066, MFlop/s=122.464 ITER[55]: Lambda=0.01, LRes=0.10096, TrueRes=0.0732673, MFlop/s=135.186 ITER[56]: Lambda=0.01, LRes=0.100919, TrueRes=0.0732294, MFlop/s=211.734 ITER[57]: Lambda=0.01, LRes=0.100878, TrueRes=0.0731927, MFlop/s=6.02567 ITER[58]: Lambda=0.01, LRes=0.100838, TrueRes=0.0731571, MFlop/s=8.59396 ITER[59]: Lambda=0.01, LRes=0.100798, TrueRes=0.0731225, MFlop/s=119.303 ITER[60]: Lambda=0.01, LRes=0.10076, TrueRes=0.0730888, MFlop/s=679.455 ITER[61]: Lambda=0.01, LRes=0.100721, TrueRes=0.073056, MFlop/s=38.2959 ITER[62]: Lambda=0.01, LRes=0.100684, TrueRes=0.0730239, MFlop/s=160.008 ITER[63]: Lambda=0.01, LRes=0.100648, TrueRes=0.0729926, MFlop/s=146.08 ITER[64]: Lambda=0.01, LRes=0.100612, TrueRes=0.072962, MFlop/s=154.738 ITER[65]: Lambda=0.01, LRes=0.100577, TrueRes=0.072932, MFlop/s=164.224 ITER[66]: Lambda=0.01, LRes=0.100544, TrueRes=0.0729025, MFlop/s=249.911 ITER[67]: Lambda=0.01, LRes=0.100511, TrueRes=0.0728736, MFlop/s=336.86 ITER[68]: Lambda=0.01, LRes=0.10048, TrueRes=0.0728452, MFlop/s=336.902 ITER[69]: Lambda=0.01, LRes=0.10045, TrueRes=0.0728172, MFlop/s=384.677 ITER[70]: Lambda=0.01, LRes=0.100421, TrueRes=0.0727894, MFlop/s=673.92 ITER[71]: Lambda=0.01, LRes=0.100393, TrueRes=0.0727619, MFlop/s=5.85393 ITER[72]: Lambda=0.01, LRes=0.100366, TrueRes=0.0727347, MFlop/s=14.4818 ITER[73]: Lambda=0.01, LRes=0.10034, TrueRes=0.0727075, MFlop/s=157.247 ITER[74]: Lambda=0.01, LRes=0.100314, TrueRes=0.0726804, MFlop/s=677.307 ITER[75]: Lambda=0.01, LRes=0.10029, TrueRes=0.0726533, MFlop/s=679.337 ITER[76]: Lambda=0.01, LRes=0.100265, TrueRes=0.0726261, MFlop/s=677.892 ITER[77]: Lambda=0.01, LRes=0.100242, TrueRes=0.0725988, MFlop/s=678.027 ITER[78]: Lambda=0.01, LRes=0.100218, TrueRes=0.0725713, MFlop/s=678.058 ITER[79]: Lambda=0.01, LRes=0.100195, TrueRes=0.0725434, MFlop/s=675.683 ITER[80]: Lambda=0.01, LRes=0.100172, TrueRes=0.072515, MFlop/s=674.308 ITER[81]: Lambda=0.01, LRes=0.100149, TrueRes=0.0724862, MFlop/s=68.2296 ITER[82]: Lambda=0.01, LRes=0.100126, TrueRes=0.0724568, MFlop/s=193.375 ITER[83]: Lambda=0.01, LRes=0.100103, TrueRes=0.0724269, MFlop/s=213.684 ITER[84]: Lambda=0.01, LRes=0.10008, TrueRes=0.0723965, MFlop/s=218.6 ITER[85]: Lambda=0.01, LRes=0.100057, TrueRes=0.072366, MFlop/s=208.062 ITER[86]: Lambda=0.01, LRes=0.100034, TrueRes=0.0723357, MFlop/s=224.726 ITER[87]: Lambda=0.01, LRes=0.100012, TrueRes=0.072306, MFlop/s=328.527 ITER[88]: Lambda=0.01, LRes=0.0999898, TrueRes=0.0722773, MFlop/s=386.876 ITER[89]: Lambda=0.01, LRes=0.0999684, TrueRes=0.0722499, MFlop/s=675.568 ITER[90]: Lambda=0.01, LRes=0.0999478, TrueRes=0.0722239, MFlop/s=678.028 ITER[91]: Lambda=0.01, LRes=0.099928, TrueRes=0.0721994, MFlop/s=7.59923 ITER[92]: Lambda=0.01, LRes=0.099909, TrueRes=0.0721762, MFlop/s=51.8276 ITER[93]: Lambda=0.01, LRes=0.0998907, TrueRes=0.0721542, MFlop/s=678.812 ITER[94]: Lambda=0.01, LRes=0.099873, TrueRes=0.0721332, MFlop/s=679.377 ITER[95]: Lambda=0.01, LRes=0.0998559, TrueRes=0.072113, MFlop/s=679.363 ITER[96]: Lambda=0.01, LRes=0.0998392, TrueRes=0.0720936, MFlop/s=677.859 ITER[97]: Lambda=0.01, LRes=0.099823, TrueRes=0.0720747, MFlop/s=677.091 ITER[98]: Lambda=0.01, LRes=0.0998072, TrueRes=0.0720563, MFlop/s=679.618 ITER[99]: Lambda=0.01, LRes=0.0997918, TrueRes=0.0720384, MFlop/s=678.98 ITER[100]: Lambda=0.01, LRes=0.0997767, TrueRes=0.072021, MFlop/s=662.42 ITER[101]: Lambda=0.01, LRes=0.099762, TrueRes=0.072004, MFlop/s=672.551 ITER[102]: Lambda=0.01, LRes=0.0997476, TrueRes=0.0719873, MFlop/s=654.283 ITER[103]: Lambda=0.01, LRes=0.0997336, TrueRes=0.0719711, MFlop/s=665.284 ITER[104]: Lambda=0.01, LRes=0.0997198, TrueRes=0.0719552, MFlop/s=661.326 ITER[105]: Lambda=0.01, LRes=0.0997064, TrueRes=0.0719397, MFlop/s=677.912 ITER[106]: Lambda=0.01, LRes=0.0996933, TrueRes=0.0719245, MFlop/s=679.306 ITER[107]: Lambda=0.01, LRes=0.0996805, TrueRes=0.0719097, MFlop/s=677.679 ITER[108]: Lambda=0.01, LRes=0.0996681, TrueRes=0.0718953, MFlop/s=677.238 ITER[109]: Lambda=0.01, LRes=0.0996559, TrueRes=0.0718812, MFlop/s=676.177 ITER[110]: Lambda=0.01, LRes=0.099644, TrueRes=0.0718675, MFlop/s=676.743 ITER[111]: Lambda=0.01, LRes=0.0996323, TrueRes=0.0718541, MFlop/s=675.075 ITER[112]: Lambda=0.01, LRes=0.099621, TrueRes=0.071841, MFlop/s=676.239 ITER[113]: Lambda=0.01, LRes=0.0996099, TrueRes=0.0718283, MFlop/s=675.222 ITER[114]: Lambda=0.01, LRes=0.099599, TrueRes=0.0718159, MFlop/s=666.641 ITER[115]: Lambda=0.01, LRes=0.0995884, TrueRes=0.0718038, MFlop/s=671.724 ITER[116]: Lambda=0.01, LRes=0.099578, TrueRes=0.0717919, MFlop/s=648.835 ITER[117]: Lambda=0.01, LRes=0.0995679, TrueRes=0.0717804, MFlop/s=598.719 ITER[118]: Lambda=0.01, LRes=0.0995579, TrueRes=0.0717691, MFlop/s=339.923 ITER[119]: Lambda=0.01, LRes=0.0995481, TrueRes=0.0717581, MFlop/s=337.038 ITER[120]: Lambda=0.01, LRes=0.0995385, TrueRes=0.0717473, MFlop/s=349.448 ITER[121]: Lambda=0.01, LRes=0.0995291, TrueRes=0.0717367, MFlop/s=6.2751 ITER[122]: Lambda=0.01, LRes=0.0995198, TrueRes=0.0717263, MFlop/s=35.419 ITER[123]: Lambda=0.01, LRes=0.0995107, TrueRes=0.0717161, MFlop/s=680.364 ITER[124]: Lambda=0.01, LRes=0.0995017, TrueRes=0.0717061, MFlop/s=679.554 ITER[125]: Lambda=0.01, LRes=0.0994928, TrueRes=0.0716963, MFlop/s=675.246 ITER[126]: Lambda=0.01, LRes=0.0994841, TrueRes=0.0716866, MFlop/s=677.421 ITER[127]: Lambda=0.01, LRes=0.0994755, TrueRes=0.071677, MFlop/s=675.716 ITER[128]: Lambda=0.01, LRes=0.0994669, TrueRes=0.0716676, MFlop/s=676.692 ITER[129]: Lambda=0.01, LRes=0.0994585, TrueRes=0.0716583, MFlop/s=677.365 ITER[130]: Lambda=0.01, LRes=0.0994502, TrueRes=0.0716491, MFlop/s=678.051 ITER[131]: Lambda=0.01, LRes=0.099442, TrueRes=0.0716401, MFlop/s=5.49441 ITER[132]: Lambda=0.01, LRes=0.0994339, TrueRes=0.0716311, MFlop/s=12.0209 ITER[133]: Lambda=0.01, LRes=0.0994259, TrueRes=0.0716223, MFlop/s=529.744 ITER[134]: Lambda=0.01, LRes=0.0994179, TrueRes=0.0716135, MFlop/s=677.362 ITER[135]: Lambda=0.01, LRes=0.09941, TrueRes=0.0716048, MFlop/s=679.1 ITER[136]: Lambda=0.01, LRes=0.0994022, TrueRes=0.0715962, MFlop/s=679.443 ITER[137]: Lambda=0.01, LRes=0.0993945, TrueRes=0.0715876, MFlop/s=680.232 ITER[138]: Lambda=0.01, LRes=0.0993868, TrueRes=0.0715791, MFlop/s=678.105 ITER[139]: Lambda=0.01, LRes=0.0993792, TrueRes=0.0715706, MFlop/s=680.308 ITER[140]: Lambda=0.01, LRes=0.0993716, TrueRes=0.0715622, MFlop/s=678.647 ITER[141]: Lambda=0.01, LRes=0.099364, TrueRes=0.0715537, MFlop/s=79.0595 ITER[142]: Lambda=0.01, LRes=0.0993565, TrueRes=0.0715453, MFlop/s=183.456 ITER[143]: Lambda=0.01, LRes=0.099349, TrueRes=0.0715368, MFlop/s=225.195 ITER[144]: Lambda=0.01, LRes=0.0993416, TrueRes=0.0715284, MFlop/s=237.913 ITER[145]: Lambda=0.01, LRes=0.0993341, TrueRes=0.0715198, MFlop/s=274.237 ITER[146]: Lambda=0.01, LRes=0.0993266, TrueRes=0.0715113, MFlop/s=286.32 ITER[147]: Lambda=0.01, LRes=0.0993192, TrueRes=0.0715026, MFlop/s=275.954 ITER[148]: Lambda=0.01, LRes=0.0993117, TrueRes=0.0714939, MFlop/s=336.895 ITER[149]: Lambda=0.01, LRes=0.0993042, TrueRes=0.0714851, MFlop/s=494.896 ITER[150]: Lambda=0.01, LRes=0.0992967, TrueRes=0.0714762, MFlop/s=677.611 ITER[151]: Lambda=0.01, LRes=0.0992892, TrueRes=0.0714671, MFlop/s=204.843 ITER[152]: Lambda=0.01, LRes=0.0992816, TrueRes=0.071458, MFlop/s=198.496 ITER[153]: Lambda=0.01, LRes=0.099274, TrueRes=0.0714487, MFlop/s=151.147 ITER[154]: Lambda=0.01, LRes=0.0992664, TrueRes=0.0714394, MFlop/s=221.792 ITER[155]: Lambda=0.01, LRes=0.0992588, TrueRes=0.0714299, MFlop/s=216.245 ITER[156]: Lambda=0.01, LRes=0.0992511, TrueRes=0.0714204, MFlop/s=219.49 ITER[157]: Lambda=0.01, LRes=0.0992435, TrueRes=0.0714109, MFlop/s=223.631 ITER[158]: Lambda=0.01, LRes=0.0992359, TrueRes=0.0714013, MFlop/s=226.035 ITER[159]: Lambda=0.01, LRes=0.0992284, TrueRes=0.0713918, MFlop/s=225.974 ITER[160]: Lambda=0.01, LRes=0.099221, TrueRes=0.0713824, MFlop/s=340.809 ITER[161]: Lambda=0.01, LRes=0.0992137, TrueRes=0.0713732, MFlop/s=6.19943 ITER[162]: Lambda=0.01, LRes=0.0992066, TrueRes=0.0713642, MFlop/s=5.96262 ITER[163]: Lambda=0.01, LRes=0.0991998, TrueRes=0.0713555, MFlop/s=39.1948 ITER[164]: Lambda=0.01, LRes=0.0991931, TrueRes=0.071347, MFlop/s=670.1 ITER[165]: Lambda=0.01, LRes=0.0991867, TrueRes=0.0713389, MFlop/s=678.891 ITER[166]: Lambda=0.01, LRes=0.0991805, TrueRes=0.0713311, MFlop/s=679.546 ITER[167]: Lambda=0.01, LRes=0.0991746, TrueRes=0.0713236, MFlop/s=678.801 ITER[168]: Lambda=0.01, LRes=0.0991689, TrueRes=0.0713165, MFlop/s=3.40669 ITER[169]: Lambda=0.01, LRes=0.0991634, TrueRes=0.0713096, MFlop/s=104.059 ITER[170]: Lambda=0.01, LRes=0.0991582, TrueRes=0.071303, MFlop/s=676.362 ITER[171]: Lambda=0.01, LRes=0.0991532, TrueRes=0.0712966, MFlop/s=341.279 ITER[172]: Lambda=0.01, LRes=0.0991483, TrueRes=0.0712905, MFlop/s=301.832 ITER[173]: Lambda=0.01, LRes=0.0991436, TrueRes=0.0712845, MFlop/s=242.077 ITER[174]: Lambda=0.01, LRes=0.099139, TrueRes=0.0712787, MFlop/s=224.483 ITER[175]: Lambda=0.01, LRes=0.0991345, TrueRes=0.0712731, MFlop/s=236.954 ITER[176]: Lambda=0.01, LRes=0.0991301, TrueRes=0.0712675, MFlop/s=311.124 ITER[177]: Lambda=0.01, LRes=0.0991259, TrueRes=0.0712622, MFlop/s=313.938 ITER[178]: Lambda=0.01, LRes=0.0991217, TrueRes=0.0712569, MFlop/s=336.525 ITER[179]: Lambda=0.01, LRes=0.0991176, TrueRes=0.0712517, MFlop/s=306.324 ITER[180]: Lambda=0.01, LRes=0.0991136, TrueRes=0.0712466, MFlop/s=331.809 ITER[181]: Lambda=0.01, LRes=0.0991096, TrueRes=0.0712416, MFlop/s=254.171 ITER[182]: Lambda=0.01, LRes=0.0991057, TrueRes=0.0712367, MFlop/s=233.117 ITER[183]: Lambda=0.01, LRes=0.0991019, TrueRes=0.0712318, MFlop/s=245.617 ITER[184]: Lambda=0.01, LRes=0.0990981, TrueRes=0.071227, MFlop/s=269.499 ITER[185]: Lambda=0.01, LRes=0.0990943, TrueRes=0.0712223, MFlop/s=250.732 ITER[186]: Lambda=0.01, LRes=0.0990906, TrueRes=0.0712176, MFlop/s=220.714 ITER[187]: Lambda=0.01, LRes=0.0990869, TrueRes=0.0712129, MFlop/s=235.995 ITER[188]: Lambda=0.01, LRes=0.0990832, TrueRes=0.0712083, MFlop/s=226.955 ITER[189]: Lambda=0.01, LRes=0.0990796, TrueRes=0.0712038, MFlop/s=219.119 ITER[190]: Lambda=0.01, LRes=0.099076, TrueRes=0.0711993, MFlop/s=288.932 ITER[191]: Lambda=0.01, LRes=0.0990725, TrueRes=0.0711948, MFlop/s=9.78203 ITER[192]: Lambda=0.01, LRes=0.0990689, TrueRes=0.0711904, MFlop/s=51.2752 ITER[193]: Lambda=0.01, LRes=0.0990654, TrueRes=0.071186, MFlop/s=441.297 ITER[194]: Lambda=0.01, LRes=0.0990619, TrueRes=0.0711816, MFlop/s=460.828 ITER[195]: Lambda=0.01, LRes=0.0990584, TrueRes=0.0711773, MFlop/s=336.683 ITER[196]: Lambda=0.01, LRes=0.099055, TrueRes=0.071173, MFlop/s=346.543 ITER[197]: Lambda=0.01, LRes=0.0990516, TrueRes=0.0711687, MFlop/s=559.594 ITER[198]: Lambda=0.01, LRes=0.0990481, TrueRes=0.0711645, MFlop/s=633.694 ITER[199]: Lambda=0.01, LRes=0.0990447, TrueRes=0.0711602, MFlop/s=674.698 ITER[200]: Lambda=0.01, LRes=0.0990414, TrueRes=0.071156, MFlop/s=674.538 ITER[201]: Lambda=0.01, LRes=0.099038, TrueRes=0.0711518, MFlop/s=256.378 ITER[202]: Lambda=0.01, LRes=0.0990346, TrueRes=0.0711477, MFlop/s=226.229 ITER[203]: Lambda=0.01, LRes=0.0990313, TrueRes=0.0711435, MFlop/s=192.001 ITER[204]: Lambda=0.01, LRes=0.099028, TrueRes=0.0711394, MFlop/s=149.15 ITER[205]: Lambda=0.01, LRes=0.0990247, TrueRes=0.0711352, MFlop/s=143.719 ITER[206]: Lambda=0.01, LRes=0.0990213, TrueRes=0.0711311, MFlop/s=127.814 ITER[207]: Lambda=0.01, LRes=0.0990181, TrueRes=0.071127, MFlop/s=125.967 ITER[208]: Lambda=0.01, LRes=0.0990148, TrueRes=0.0711229, MFlop/s=113.578 ITER[209]: Lambda=0.01, LRes=0.0990115, TrueRes=0.0711189, MFlop/s=121.343 ITER[210]: Lambda=0.01, LRes=0.0990082, TrueRes=0.0711148, MFlop/s=139.176 ITER[211]: Lambda=0.01, LRes=0.099005, TrueRes=0.0711107, MFlop/s=80.2738 ITER[212]: Lambda=0.01, LRes=0.0990017, TrueRes=0.0711067, MFlop/s=122.996 ITER[213]: Lambda=0.01, LRes=0.0989985, TrueRes=0.0711026, MFlop/s=100.833 ITER[214]: Lambda=0.01, LRes=0.0989953, TrueRes=0.0710986, MFlop/s=96.7566 ITER[215]: Lambda=0.01, LRes=0.098992, TrueRes=0.0710946, MFlop/s=96.1122 ITER[216]: Lambda=0.01, LRes=0.0989888, TrueRes=0.0710906, MFlop/s=98.6185 ITER[217]: Lambda=0.01, LRes=0.0989856, TrueRes=0.0710865, MFlop/s=112.351 ITER[218]: Lambda=0.01, LRes=0.0989825, TrueRes=0.0710825, MFlop/s=112.491 ITER[219]: Lambda=0.01, LRes=0.0989793, TrueRes=0.0710785, MFlop/s=98.4964 ITER[220]: Lambda=0.01, LRes=0.0989761, TrueRes=0.0710745, MFlop/s=96.2089 ITER[221]: Lambda=0.01, LRes=0.0989729, TrueRes=0.0710705, MFlop/s=108.327 ITER[222]: Lambda=0.01, LRes=0.0989698, TrueRes=0.0710665, MFlop/s=96.0428 ITER[223]: Lambda=0.01, LRes=0.0989667, TrueRes=0.0710625, MFlop/s=96.6035 ITER[224]: Lambda=0.01, LRes=0.0989635, TrueRes=0.0710585, MFlop/s=96.308 ITER[225]: Lambda=0.01, LRes=0.0989604, TrueRes=0.0710545, MFlop/s=96.3067 ITER[226]: Lambda=0.01, LRes=0.0989573, TrueRes=0.0710506, MFlop/s=96.3047 ITER[227]: Lambda=0.01, LRes=0.0989542, TrueRes=0.0710466, MFlop/s=100.201 ITER[228]: Lambda=0.01, LRes=0.0989512, TrueRes=0.0710427, MFlop/s=97.3468 ITER[229]: Lambda=0.01, LRes=0.0989481, TrueRes=0.0710387, MFlop/s=96.5216 ITER[230]: Lambda=0.01, LRes=0.098945, TrueRes=0.0710348, MFlop/s=112.443 ITER[231]: Lambda=0.01, LRes=0.098942, TrueRes=0.0710308, MFlop/s=96.6596 ITER[232]: Lambda=0.01, LRes=0.098939, TrueRes=0.0710269, MFlop/s=112.335 ITER[233]: Lambda=0.01, LRes=0.098936, TrueRes=0.071023, MFlop/s=111.74 ITER[234]: Lambda=0.01, LRes=0.098933, TrueRes=0.0710191, MFlop/s=98.1887 ITER[235]: Lambda=0.01, LRes=0.09893, TrueRes=0.0710152, MFlop/s=112.268 ITER[236]: Lambda=0.01, LRes=0.098927, TrueRes=0.0710114, MFlop/s=111.556 ITER[237]: Lambda=0.01, LRes=0.0989241, TrueRes=0.0710075, MFlop/s=112.275 ITER[238]: Lambda=0.01, LRes=0.0989212, TrueRes=0.0710037, MFlop/s=112.259 ITER[239]: Lambda=0.01, LRes=0.0989183, TrueRes=0.0709999, MFlop/s=111.557 ITER[240]: Lambda=0.01, LRes=0.0989154, TrueRes=0.0709961, MFlop/s=105.15 ITER[241]: Lambda=0.01, LRes=0.0989125, TrueRes=0.0709923, MFlop/s=96.2653 ITER[242]: Lambda=0.01, LRes=0.0989096, TrueRes=0.0709886, MFlop/s=104.091 ITER[243]: Lambda=0.01, LRes=0.0989068, TrueRes=0.0709848, MFlop/s=111.422 ITER[244]: Lambda=0.01, LRes=0.098904, TrueRes=0.0709811, MFlop/s=112.283 ITER[245]: Lambda=0.01, LRes=0.0989012, TrueRes=0.0709775, MFlop/s=111.52 ITER[246]: Lambda=0.01, LRes=0.0988984, TrueRes=0.0709738, MFlop/s=112.263 ITER[247]: Lambda=0.01, LRes=0.0988957, TrueRes=0.0709702, MFlop/s=111.523 ITER[248]: Lambda=0.01, LRes=0.0988929, TrueRes=0.0709666, MFlop/s=112.278 ITER[249]: Lambda=0.01, LRes=0.0988902, TrueRes=0.070963, MFlop/s=96.2772 ITER[250]: Lambda=0.01, LRes=0.0988875, TrueRes=0.0709595, MFlop/s=96.7935 ITER[251]: Lambda=0.01, LRes=0.0988848, TrueRes=0.0709559, MFlop/s=112.272 ITER[252]: Lambda=0.01, LRes=0.0988822, TrueRes=0.0709525, MFlop/s=112.291 ITER[253]: Lambda=0.01, LRes=0.0988795, TrueRes=0.070949, MFlop/s=112.293 ITER[254]: Lambda=0.01, LRes=0.0988769, TrueRes=0.0709456, MFlop/s=111.477 ITER[255]: Lambda=0.01, LRes=0.0988743, TrueRes=0.0709422, MFlop/s=112.305 ITER[256]: Lambda=0.01, LRes=0.0988717, TrueRes=0.0709388, MFlop/s=112.164 ITER[257]: Lambda=0.01, LRes=0.0988692, TrueRes=0.0709355, MFlop/s=111.57 ITER[258]: Lambda=0.01, LRes=0.0988667, TrueRes=0.0709322, MFlop/s=112.299 ITER[259]: Lambda=0.01, LRes=0.0988641, TrueRes=0.0709289, MFlop/s=112.227 ITER[260]: Lambda=0.01, LRes=0.0988616, TrueRes=0.0709257, MFlop/s=111.565 ITER[261]: Lambda=0.01, LRes=0.0988592, TrueRes=0.0709225, MFlop/s=112.244 ITER[262]: Lambda=0.01, LRes=0.0988567, TrueRes=0.0709193, MFlop/s=114.53 ITER[263]: Lambda=0.01, LRes=0.0988543, TrueRes=0.0709162, MFlop/s=134.734 ITER[264]: Lambda=0.01, LRes=0.0988519, TrueRes=0.0709131, MFlop/s=134.765 ITER[265]: Lambda=0.01, LRes=0.0988495, TrueRes=0.07091, MFlop/s=119.747 ITER[266]: Lambda=0.01, LRes=0.0988471, TrueRes=0.0709069, MFlop/s=112.167 ITER[267]: Lambda=0.01, LRes=0.0988447, TrueRes=0.0709039, MFlop/s=112.254 ITER[268]: Lambda=0.01, LRes=0.0988424, TrueRes=0.0709009, MFlop/s=111.52 ITER[269]: Lambda=0.01, LRes=0.0988401, TrueRes=0.0708979, MFlop/s=128.964 ITER[270]: Lambda=0.01, LRes=0.0988378, TrueRes=0.070895, MFlop/s=133.824 ITER[271]: Lambda=0.01, LRes=0.0988355, TrueRes=0.0708921, MFlop/s=134.708 ITER[272]: Lambda=0.01, LRes=0.0988333, TrueRes=0.0708892, MFlop/s=133.862 ITER[273]: Lambda=0.01, LRes=0.098831, TrueRes=0.0708863, MFlop/s=134.72 ITER[274]: Lambda=0.01, LRes=0.0988288, TrueRes=0.0708835, MFlop/s=133.851 ITER[275]: Lambda=0.01, LRes=0.0988266, TrueRes=0.0708807, MFlop/s=134.707 ITER[276]: Lambda=0.01, LRes=0.0988244, TrueRes=0.0708779, MFlop/s=133.851 ITER[277]: Lambda=0.01, LRes=0.0988222, TrueRes=0.0708752, MFlop/s=134.716 ITER[278]: Lambda=0.01, LRes=0.0988201, TrueRes=0.0708725, MFlop/s=133.894 ITER[279]: Lambda=0.01, LRes=0.0988179, TrueRes=0.0708698, MFlop/s=134.723 ITER[280]: Lambda=0.01, LRes=0.0988158, TrueRes=0.0708671, MFlop/s=133.872 ITER[281]: Lambda=0.01, LRes=0.0988137, TrueRes=0.0708644, MFlop/s=134.733 ITER[282]: Lambda=0.01, LRes=0.0988116, TrueRes=0.0708618, MFlop/s=134.791 ITER[283]: Lambda=0.01, LRes=0.0988096, TrueRes=0.0708592, MFlop/s=134.826 ITER[284]: Lambda=0.01, LRes=0.0988075, TrueRes=0.0708566, MFlop/s=134.791 ITER[285]: Lambda=0.01, LRes=0.0988055, TrueRes=0.070854, MFlop/s=134.823 ITER[286]: Lambda=0.01, LRes=0.0988035, TrueRes=0.0708515, MFlop/s=134.848 ITER[287]: Lambda=0.01, LRes=0.0988015, TrueRes=0.070849, MFlop/s=134.831 ITER[288]: Lambda=0.01, LRes=0.0987995, TrueRes=0.0708465, MFlop/s=134.851 ITER[289]: Lambda=0.01, LRes=0.0987975, TrueRes=0.070844, MFlop/s=152.176 ITER[290]: Lambda=0.01, LRes=0.0987956, TrueRes=0.0708415, MFlop/s=167.252 ITER[291]: Lambda=0.01, LRes=0.0987936, TrueRes=0.0708391, MFlop/s=168.414 ITER[292]: Lambda=0.01, LRes=0.0987917, TrueRes=0.0708367, MFlop/s=168.376 ITER[293]: Lambda=0.01, LRes=0.0987898, TrueRes=0.0708343, MFlop/s=167.452 ITER[294]: Lambda=0.01, LRes=0.0987879, TrueRes=0.0708319, MFlop/s=168.459 ITER[295]: Lambda=0.01, LRes=0.098786, TrueRes=0.0708295, MFlop/s=168.434 ITER[296]: Lambda=0.01, LRes=0.0987842, TrueRes=0.0708272, MFlop/s=168.405 ITER[297]: Lambda=0.01, LRes=0.0987823, TrueRes=0.0708249, MFlop/s=167.423 ITER[298]: Lambda=0.01, LRes=0.0987805, TrueRes=0.0708226, MFlop/s=168.398 ITER[299]: Lambda=0.01, LRes=0.0987787, TrueRes=0.0708203, MFlop/s=168.356