mddnmr1.2c mdd_out_321_346.mdd 100 0 300 1e-8 0.01 709 250 Wed Oct 26 13:09:28 EDT 2011 ITER[0]: Lambda=0.01, LRes=0.359471, TrueRes=0.347973, MFlop/s=54.4842 ITER[1]: Lambda=0.01, LRes=0.148532, TrueRes=0.129261, MFlop/s=94.1217 ITER[2]: Lambda=0.01, LRes=0.104212, TrueRes=0.0782126, MFlop/s=213.344 ITER[3]: Lambda=0.01, LRes=0.091338, TrueRes=0.0623642, MFlop/s=205.271 ITER[4]: Lambda=0.01, LRes=0.0852013, TrueRes=0.0548753, MFlop/s=194.063 ITER[5]: Lambda=0.01, LRes=0.0817873, TrueRes=0.0510882, MFlop/s=188.248 ITER[6]: Lambda=0.01, LRes=0.0794854, TrueRes=0.0487507, MFlop/s=168.431 ITER[7]: Lambda=0.01, LRes=0.0777069, TrueRes=0.0470407, MFlop/s=176.125 ITER[8]: Lambda=0.01, LRes=0.0762356, TrueRes=0.0456786, MFlop/s=165.804 ITER[9]: Lambda=0.01, LRes=0.074981, TrueRes=0.0445572, MFlop/s=167.213 ITER[10]: Lambda=0.01, LRes=0.0739036, TrueRes=0.0436339, MFlop/s=154.519 ITER[11]: Lambda=0.01, LRes=0.0729801, TrueRes=0.0428821, MFlop/s=156.582 ITER[12]: Lambda=0.01, LRes=0.0721882, TrueRes=0.0422698, MFlop/s=143.225 ITER[13]: Lambda=0.01, LRes=0.0715056, TrueRes=0.041763, MFlop/s=158.723 ITER[14]: Lambda=0.01, LRes=0.0709115, TrueRes=0.0413326, MFlop/s=150.628 ITER[15]: Lambda=0.01, LRes=0.0703875, TrueRes=0.0409558, MFlop/s=149.304 ITER[16]: Lambda=0.01, LRes=0.069918, TrueRes=0.0406165, MFlop/s=184.624 ITER[17]: Lambda=0.01, LRes=0.0694907, TrueRes=0.040304, MFlop/s=139.863 ITER[18]: Lambda=0.01, LRes=0.0690963, TrueRes=0.0400115, MFlop/s=143.105 ITER[19]: Lambda=0.01, LRes=0.0687287, TrueRes=0.0397351, MFlop/s=148.304 ITER[20]: Lambda=0.01, LRes=0.0683846, TrueRes=0.039474, MFlop/s=143.063 ITER[21]: Lambda=0.01, LRes=0.0680623, TrueRes=0.0392286, MFlop/s=137.473 ITER[22]: Lambda=0.01, LRes=0.0677614, TrueRes=0.0389998, MFlop/s=146.406 ITER[23]: Lambda=0.01, LRes=0.0674815, TrueRes=0.0387872, MFlop/s=150.812 ITER[24]: Lambda=0.01, LRes=0.0672215, TrueRes=0.038589, MFlop/s=147.105 ITER[25]: Lambda=0.01, LRes=0.0669796, TrueRes=0.0384031, MFlop/s=150.677 ITER[26]: Lambda=0.01, LRes=0.0667539, TrueRes=0.0382276, MFlop/s=145.392 ITER[27]: Lambda=0.01, LRes=0.0665427, TrueRes=0.0380615, MFlop/s=135.414 ITER[28]: Lambda=0.01, LRes=0.0663447, TrueRes=0.0379044, MFlop/s=136.937 ITER[29]: Lambda=0.01, LRes=0.0661587, TrueRes=0.0377558, MFlop/s=177.701 ITER[30]: Lambda=0.01, LRes=0.0659834, TrueRes=0.0376152, MFlop/s=145.818 ITER[31]: Lambda=0.01, LRes=0.0658178, TrueRes=0.0374818, MFlop/s=129.699 ITER[32]: Lambda=0.01, LRes=0.0656611, TrueRes=0.037355, MFlop/s=189.893 ITER[33]: Lambda=0.01, LRes=0.0655126, TrueRes=0.0372341, MFlop/s=181.302 ITER[34]: Lambda=0.01, LRes=0.065372, TrueRes=0.0371189, MFlop/s=181.759 ITER[35]: Lambda=0.01, LRes=0.0652392, TrueRes=0.0370093, MFlop/s=163.724 ITER[36]: Lambda=0.01, LRes=0.0651141, TrueRes=0.0369054, MFlop/s=163.551 ITER[37]: Lambda=0.01, LRes=0.0649969, TrueRes=0.0368073, MFlop/s=169.798 ITER[38]: Lambda=0.01, LRes=0.0648876, TrueRes=0.0367151, MFlop/s=152.939 ITER[39]: Lambda=0.01, LRes=0.0647863, TrueRes=0.0366286, MFlop/s=139.992 ITER[40]: Lambda=0.01, LRes=0.0646929, TrueRes=0.0365478, MFlop/s=134.933 ITER[41]: Lambda=0.01, LRes=0.0646075, TrueRes=0.0364724, MFlop/s=134.824 ITER[42]: Lambda=0.01, LRes=0.0645296, TrueRes=0.0364021, MFlop/s=131.222 ITER[43]: Lambda=0.01, LRes=0.0644586, TrueRes=0.0363365, MFlop/s=128.906 ITER[44]: Lambda=0.01, LRes=0.0643938, TrueRes=0.0362753, MFlop/s=126.069 ITER[45]: Lambda=0.01, LRes=0.0643345, TrueRes=0.0362182, MFlop/s=136.103 ITER[46]: Lambda=0.01, LRes=0.0642799, TrueRes=0.0361651, MFlop/s=139.409 ITER[47]: Lambda=0.01, LRes=0.0642295, TrueRes=0.0361156, MFlop/s=140.19 ITER[48]: Lambda=0.01, LRes=0.0641829, TrueRes=0.0360696, MFlop/s=136.277 ITER[49]: Lambda=0.01, LRes=0.0641396, TrueRes=0.0360267, MFlop/s=132.732 ITER[50]: Lambda=0.01, LRes=0.0640993, TrueRes=0.0359866, MFlop/s=140.686 ITER[51]: Lambda=0.01, LRes=0.0640617, TrueRes=0.0359491, MFlop/s=45.3276 ITER[52]: Lambda=0.01, LRes=0.0640264, TrueRes=0.035914, MFlop/s=175.509 ITER[53]: Lambda=0.01, LRes=0.0639934, TrueRes=0.0358811, MFlop/s=170.393 ITER[54]: Lambda=0.01, LRes=0.0639624, TrueRes=0.0358502, MFlop/s=174.084 ITER[55]: Lambda=0.01, LRes=0.0639332, TrueRes=0.0358211, MFlop/s=166.488 ITER[56]: Lambda=0.01, LRes=0.0639055, TrueRes=0.0357937, MFlop/s=166.663 ITER[57]: Lambda=0.01, LRes=0.0638794, TrueRes=0.0357678, MFlop/s=222.612 ITER[58]: Lambda=0.01, LRes=0.0638546, TrueRes=0.0357433, MFlop/s=213.423 ITER[59]: Lambda=0.01, LRes=0.063831, TrueRes=0.03572, MFlop/s=178.879 ITER[60]: Lambda=0.01, LRes=0.0638085, TrueRes=0.0356978, MFlop/s=189.039 ITER[61]: Lambda=0.01, LRes=0.0637869, TrueRes=0.0356765, MFlop/s=8.0402 ITER[62]: Lambda=0.01, LRes=0.0637663, TrueRes=0.0356562, MFlop/s=52.8055 ITER[63]: Lambda=0.01, LRes=0.0637465, TrueRes=0.0356366, MFlop/s=642.245 ITER[64]: Lambda=0.01, LRes=0.0637275, TrueRes=0.0356177, MFlop/s=310.004 ITER[65]: Lambda=0.01, LRes=0.0637092, TrueRes=0.0355994, MFlop/s=231.889 ITER[66]: Lambda=0.01, LRes=0.0636915, TrueRes=0.0355817, MFlop/s=224.251 ITER[67]: Lambda=0.01, LRes=0.0636744, TrueRes=0.0355646, MFlop/s=207.113 ITER[68]: Lambda=0.01, LRes=0.0636579, TrueRes=0.035548, MFlop/s=232.009 ITER[69]: Lambda=0.01, LRes=0.063642, TrueRes=0.0355319, MFlop/s=223.261 ITER[70]: Lambda=0.01, LRes=0.0636265, TrueRes=0.0355162, MFlop/s=213.804 ITER[71]: Lambda=0.01, LRes=0.0636115, TrueRes=0.0355009, MFlop/s=10.0677 ITER[72]: Lambda=0.01, LRes=0.0635969, TrueRes=0.0354861, MFlop/s=4.5221 ITER[73]: Lambda=0.01, LRes=0.0635827, TrueRes=0.0354716, MFlop/s=9.41541 ITER[74]: Lambda=0.01, LRes=0.0635688, TrueRes=0.0354574, MFlop/s=137.258 ITER[75]: Lambda=0.01, LRes=0.0635554, TrueRes=0.0354436, MFlop/s=676.798 ITER[76]: Lambda=0.01, LRes=0.0635422, TrueRes=0.03543, MFlop/s=678.597 ITER[77]: Lambda=0.01, LRes=0.0635293, TrueRes=0.0354167, MFlop/s=679.562 ITER[78]: Lambda=0.01, LRes=0.0635167, TrueRes=0.0354037, MFlop/s=679.612 ITER[79]: Lambda=0.01, LRes=0.0635044, TrueRes=0.0353909, MFlop/s=680.446 ITER[80]: Lambda=0.01, LRes=0.0634923, TrueRes=0.0353783, MFlop/s=680.201 ITER[81]: Lambda=0.01, LRes=0.0634805, TrueRes=0.0353658, MFlop/s=154.372 ITER[82]: Lambda=0.01, LRes=0.0634689, TrueRes=0.0353535, MFlop/s=161.785 ITER[83]: Lambda=0.01, LRes=0.0634576, TrueRes=0.0353413, MFlop/s=189.473 ITER[84]: Lambda=0.01, LRes=0.0634464, TrueRes=0.0353293, MFlop/s=210.616 ITER[85]: Lambda=0.01, LRes=0.0634355, TrueRes=0.0353172, MFlop/s=158.077 ITER[86]: Lambda=0.01, LRes=0.0634248, TrueRes=0.0353053, MFlop/s=141.645 ITER[87]: Lambda=0.01, LRes=0.0634142, TrueRes=0.0352933, MFlop/s=129.83 ITER[88]: Lambda=0.01, LRes=0.0634039, TrueRes=0.0352813, MFlop/s=137.942 ITER[89]: Lambda=0.01, LRes=0.0633938, TrueRes=0.0352692, MFlop/s=143.368 ITER[90]: Lambda=0.01, LRes=0.0633838, TrueRes=0.0352571, MFlop/s=151.15 ITER[91]: Lambda=0.01, LRes=0.063374, TrueRes=0.0352448, MFlop/s=4.0564 ITER[92]: Lambda=0.01, LRes=0.0633643, TrueRes=0.0352325, MFlop/s=12.6286 ITER[93]: Lambda=0.01, LRes=0.0633548, TrueRes=0.0352199, MFlop/s=503.526 ITER[94]: Lambda=0.01, LRes=0.0633455, TrueRes=0.0352072, MFlop/s=632.213 ITER[95]: Lambda=0.01, LRes=0.0633362, TrueRes=0.0351944, MFlop/s=626.626 ITER[96]: Lambda=0.01, LRes=0.0633271, TrueRes=0.0351814, MFlop/s=664.908 ITER[97]: Lambda=0.01, LRes=0.0633181, TrueRes=0.0351683, MFlop/s=676.302 ITER[98]: Lambda=0.01, LRes=0.0633093, TrueRes=0.0351552, MFlop/s=678.046 ITER[99]: Lambda=0.01, LRes=0.0633005, TrueRes=0.035142, MFlop/s=677.424 ITER[100]: Lambda=0.01, LRes=0.0632919, TrueRes=0.0351289, MFlop/s=678.705 ITER[101]: Lambda=0.01, LRes=0.0632834, TrueRes=0.0351159, MFlop/s=234.371 ITER[102]: Lambda=0.01, LRes=0.0632751, TrueRes=0.035103, MFlop/s=208.144 ITER[103]: Lambda=0.01, LRes=0.0632669, TrueRes=0.0350904, MFlop/s=218.547 ITER[104]: Lambda=0.01, LRes=0.0632588, TrueRes=0.035078, MFlop/s=208.33 ITER[105]: Lambda=0.01, LRes=0.063251, TrueRes=0.035066, MFlop/s=210.801 ITER[106]: Lambda=0.01, LRes=0.0632433, TrueRes=0.0350543, MFlop/s=169.298 ITER[107]: Lambda=0.01, LRes=0.0632358, TrueRes=0.035043, MFlop/s=168.105 ITER[108]: Lambda=0.01, LRes=0.0632285, TrueRes=0.0350322, MFlop/s=152.585 ITER[109]: Lambda=0.01, LRes=0.0632214, TrueRes=0.0350217, MFlop/s=153.556 ITER[110]: Lambda=0.01, LRes=0.0632144, TrueRes=0.0350118, MFlop/s=165.117 ITER[111]: Lambda=0.01, LRes=0.0632076, TrueRes=0.0350023, MFlop/s=3.92814 ITER[112]: Lambda=0.01, LRes=0.0632011, TrueRes=0.0349932, MFlop/s=6.71791 ITER[113]: Lambda=0.01, LRes=0.0631947, TrueRes=0.0349845, MFlop/s=40.1462 ITER[114]: Lambda=0.01, LRes=0.0631885, TrueRes=0.0349763, MFlop/s=679.435 ITER[115]: Lambda=0.01, LRes=0.0631825, TrueRes=0.0349685, MFlop/s=678.621 ITER[116]: Lambda=0.01, LRes=0.0631766, TrueRes=0.0349611, MFlop/s=678.23 ITER[117]: Lambda=0.01, LRes=0.0631709, TrueRes=0.0349541, MFlop/s=678.53 ITER[118]: Lambda=0.01, LRes=0.0631654, TrueRes=0.0349473, MFlop/s=679.366 ITER[119]: Lambda=0.01, LRes=0.06316, TrueRes=0.0349409, MFlop/s=678.255 ITER[120]: Lambda=0.01, LRes=0.0631548, TrueRes=0.0349348, MFlop/s=679.947 ITER[121]: Lambda=0.01, LRes=0.0631498, TrueRes=0.034929, MFlop/s=148.622 ITER[122]: Lambda=0.01, LRes=0.0631448, TrueRes=0.0349235, MFlop/s=185.281 ITER[123]: Lambda=0.01, LRes=0.06314, TrueRes=0.0349181, MFlop/s=191.777 ITER[124]: Lambda=0.01, LRes=0.0631354, TrueRes=0.034913, MFlop/s=183.064 ITER[125]: Lambda=0.01, LRes=0.0631308, TrueRes=0.0349081, MFlop/s=199.48 ITER[126]: Lambda=0.01, LRes=0.0631264, TrueRes=0.0349034, MFlop/s=205.099 ITER[127]: Lambda=0.01, LRes=0.0631221, TrueRes=0.0348989, MFlop/s=254.719 ITER[128]: Lambda=0.01, LRes=0.0631179, TrueRes=0.0348945, MFlop/s=285.134 ITER[129]: Lambda=0.01, LRes=0.0631137, TrueRes=0.0348903, MFlop/s=305.126 ITER[130]: Lambda=0.01, LRes=0.0631097, TrueRes=0.0348862, MFlop/s=387.251 ITER[131]: Lambda=0.01, LRes=0.0631057, TrueRes=0.0348822, MFlop/s=23.2905 ITER[132]: Lambda=0.01, LRes=0.0631019, TrueRes=0.0348783, MFlop/s=257.907 ITER[133]: Lambda=0.01, LRes=0.0630981, TrueRes=0.0348746, MFlop/s=337.254 ITER[134]: Lambda=0.01, LRes=0.0630943, TrueRes=0.0348709, MFlop/s=340.894 ITER[135]: Lambda=0.01, LRes=0.0630906, TrueRes=0.0348674, MFlop/s=594.231 ITER[136]: Lambda=0.01, LRes=0.063087, TrueRes=0.0348639, MFlop/s=425.684 ITER[137]: Lambda=0.01, LRes=0.0630834, TrueRes=0.0348605, MFlop/s=676.588 ITER[138]: Lambda=0.01, LRes=0.0630799, TrueRes=0.0348571, MFlop/s=662.673 ITER[139]: Lambda=0.01, LRes=0.0630764, TrueRes=0.0348538, MFlop/s=648.346 ITER[140]: Lambda=0.01, LRes=0.0630729, TrueRes=0.0348506, MFlop/s=675.594 ITER[141]: Lambda=0.01, LRes=0.0630695, TrueRes=0.0348475, MFlop/s=656.573 ITER[142]: Lambda=0.01, LRes=0.0630661, TrueRes=0.0348444, MFlop/s=668.87 ITER[143]: Lambda=0.01, LRes=0.0630627, TrueRes=0.0348413, MFlop/s=668.628 ITER[144]: Lambda=0.01, LRes=0.0630592, TrueRes=0.0348383, MFlop/s=613.333 ITER[145]: Lambda=0.01, LRes=0.0630558, TrueRes=0.0348353, MFlop/s=661.764 ITER[146]: Lambda=0.01, LRes=0.0630524, TrueRes=0.0348323, MFlop/s=656.404 ITER[147]: Lambda=0.01, LRes=0.0630489, TrueRes=0.0348293, MFlop/s=602.843 ITER[148]: Lambda=0.01, LRes=0.0630455, TrueRes=0.0348264, MFlop/s=671.229 ITER[149]: Lambda=0.01, LRes=0.0630419, TrueRes=0.0348235, MFlop/s=657.609 ITER[150]: Lambda=0.01, LRes=0.0630383, TrueRes=0.0348206, MFlop/s=662.484 ITER[151]: Lambda=0.01, LRes=0.0630347, TrueRes=0.0348177, MFlop/s=635.776 ITER[152]: Lambda=0.01, LRes=0.0630309, TrueRes=0.0348148, MFlop/s=644.882 ITER[153]: Lambda=0.01, LRes=0.0630271, TrueRes=0.0348119, MFlop/s=655.966 ITER[154]: Lambda=0.01, LRes=0.0630231, TrueRes=0.034809, MFlop/s=633.654 ITER[155]: Lambda=0.01, LRes=0.063019, TrueRes=0.0348061, MFlop/s=659.484 ITER[156]: Lambda=0.01, LRes=0.0630148, TrueRes=0.0348031, MFlop/s=657.148 ITER[157]: Lambda=0.01, LRes=0.0630103, TrueRes=0.0348001, MFlop/s=635.721 ITER[158]: Lambda=0.01, LRes=0.0630057, TrueRes=0.0347971, MFlop/s=673.143 ITER[159]: Lambda=0.01, LRes=0.0630009, TrueRes=0.0347941, MFlop/s=678.765 ITER[160]: Lambda=0.01, LRes=0.0629958, TrueRes=0.034791, MFlop/s=676.049 ITER[161]: Lambda=0.01, LRes=0.0629905, TrueRes=0.0347879, MFlop/s=675.848 ITER[162]: Lambda=0.01, LRes=0.0629849, TrueRes=0.0347847, MFlop/s=677.586 ITER[163]: Lambda=0.01, LRes=0.062979, TrueRes=0.0347815, MFlop/s=673.908 ITER[164]: Lambda=0.01, LRes=0.0629728, TrueRes=0.0347782, MFlop/s=668.771 ITER[165]: Lambda=0.01, LRes=0.0629664, TrueRes=0.0347748, MFlop/s=670.261 ITER[166]: Lambda=0.01, LRes=0.0629597, TrueRes=0.0347714, MFlop/s=673.374 ITER[167]: Lambda=0.01, LRes=0.0629528, TrueRes=0.0347678, MFlop/s=666.967 ITER[168]: Lambda=0.01, LRes=0.0629457, TrueRes=0.0347642, MFlop/s=677.281 ITER[169]: Lambda=0.01, LRes=0.0629385, TrueRes=0.0347605, MFlop/s=676.916 ITER[170]: Lambda=0.01, LRes=0.0629312, TrueRes=0.0347566, MFlop/s=677.804 ITER[171]: Lambda=0.01, LRes=0.062924, TrueRes=0.0347527, MFlop/s=677.725 ITER[172]: Lambda=0.01, LRes=0.062917, TrueRes=0.0347486, MFlop/s=677.796 ITER[173]: Lambda=0.01, LRes=0.0629102, TrueRes=0.0347445, MFlop/s=675.917 ITER[174]: Lambda=0.01, LRes=0.0629036, TrueRes=0.0347402, MFlop/s=675.754 ITER[175]: Lambda=0.01, LRes=0.0628974, TrueRes=0.0347359, MFlop/s=678.611 ITER[176]: Lambda=0.01, LRes=0.0628916, TrueRes=0.0347315, MFlop/s=679.137 ITER[177]: Lambda=0.01, LRes=0.0628861, TrueRes=0.0347271, MFlop/s=675.892 ITER[178]: Lambda=0.01, LRes=0.0628811, TrueRes=0.0347227, MFlop/s=676.486 ITER[179]: Lambda=0.01, LRes=0.0628764, TrueRes=0.0347184, MFlop/s=676.897 ITER[180]: Lambda=0.01, LRes=0.0628721, TrueRes=0.0347141, MFlop/s=676.783 ITER[181]: Lambda=0.01, LRes=0.062868, TrueRes=0.03471, MFlop/s=677.457 ITER[182]: Lambda=0.01, LRes=0.0628643, TrueRes=0.034706, MFlop/s=678.862 ITER[183]: Lambda=0.01, LRes=0.0628608, TrueRes=0.0347021, MFlop/s=677.607 ITER[184]: Lambda=0.01, LRes=0.0628574, TrueRes=0.0346984, MFlop/s=674.625 ITER[185]: Lambda=0.01, LRes=0.0628543, TrueRes=0.0346949, MFlop/s=676.897 ITER[186]: Lambda=0.01, LRes=0.0628513, TrueRes=0.0346914, MFlop/s=675.059 ITER[187]: Lambda=0.01, LRes=0.0628485, TrueRes=0.0346881, MFlop/s=675.164 ITER[188]: Lambda=0.01, LRes=0.0628458, TrueRes=0.034685, MFlop/s=677.046 ITER[189]: Lambda=0.01, LRes=0.0628431, TrueRes=0.0346819, MFlop/s=672.798 ITER[190]: Lambda=0.01, LRes=0.0628406, TrueRes=0.0346789, MFlop/s=673.649 ITER[191]: Lambda=0.01, LRes=0.0628382, TrueRes=0.034676, MFlop/s=669.022 ITER[192]: Lambda=0.01, LRes=0.0628358, TrueRes=0.0346732, MFlop/s=668.749 ITER[193]: Lambda=0.01, LRes=0.0628335, TrueRes=0.0346705, MFlop/s=665.836 ITER[194]: Lambda=0.01, LRes=0.0628312, TrueRes=0.0346678, MFlop/s=678.344 ITER[195]: Lambda=0.01, LRes=0.062829, TrueRes=0.0346652, MFlop/s=676.646 ITER[196]: Lambda=0.01, LRes=0.0628269, TrueRes=0.0346627, MFlop/s=676.472 ITER[197]: Lambda=0.01, LRes=0.0628248, TrueRes=0.0346602, MFlop/s=676.571 ITER[198]: Lambda=0.01, LRes=0.0628227, TrueRes=0.0346578, MFlop/s=677.274 ITER[199]: Lambda=0.01, LRes=0.0628207, TrueRes=0.0346554, MFlop/s=677.89 ITER[200]: Lambda=0.01, LRes=0.0628187, TrueRes=0.034653, MFlop/s=677.955 ITER[201]: Lambda=0.01, LRes=0.0628168, TrueRes=0.0346507, MFlop/s=678.651 ITER[202]: Lambda=0.01, LRes=0.0628149, TrueRes=0.0346485, MFlop/s=677.45 ITER[203]: Lambda=0.01, LRes=0.062813, TrueRes=0.0346463, MFlop/s=674.735 ITER[204]: Lambda=0.01, LRes=0.0628112, TrueRes=0.0346441, MFlop/s=678.468 ITER[205]: Lambda=0.01, LRes=0.0628094, TrueRes=0.034642, MFlop/s=678.997 ITER[206]: Lambda=0.01, LRes=0.0628077, TrueRes=0.0346399, MFlop/s=677.234 ITER[207]: Lambda=0.01, LRes=0.0628059, TrueRes=0.0346378, MFlop/s=640.129 ITER[208]: Lambda=0.01, LRes=0.0628043, TrueRes=0.0346358, MFlop/s=663.684 ITER[209]: Lambda=0.01, LRes=0.0628026, TrueRes=0.0346338, MFlop/s=672.438 ITER[210]: Lambda=0.01, LRes=0.0628009, TrueRes=0.0346319, MFlop/s=670.179 ITER[211]: Lambda=0.01, LRes=0.0627993, TrueRes=0.0346299, MFlop/s=671.151 ITER[212]: Lambda=0.01, LRes=0.0627978, TrueRes=0.034628, MFlop/s=672.308 ITER[213]: Lambda=0.01, LRes=0.0627962, TrueRes=0.0346262, MFlop/s=672.15 ITER[214]: Lambda=0.01, LRes=0.0627947, TrueRes=0.0346243, MFlop/s=668.863 ITER[215]: Lambda=0.01, LRes=0.0627932, TrueRes=0.0346225, MFlop/s=673.947 ITER[216]: Lambda=0.01, LRes=0.0627917, TrueRes=0.0346208, MFlop/s=666.418 ITER[217]: Lambda=0.01, LRes=0.0627902, TrueRes=0.034619, MFlop/s=668.022 ITER[218]: Lambda=0.01, LRes=0.0627888, TrueRes=0.0346173, MFlop/s=672.853 ITER[219]: Lambda=0.01, LRes=0.0627873, TrueRes=0.0346156, MFlop/s=665.088 ITER[220]: Lambda=0.01, LRes=0.0627859, TrueRes=0.0346139, MFlop/s=670.947 ITER[221]: Lambda=0.01, LRes=0.0627845, TrueRes=0.0346123, MFlop/s=629.588 ITER[222]: Lambda=0.01, LRes=0.0627832, TrueRes=0.0346106, MFlop/s=644.446 ITER[223]: Lambda=0.01, LRes=0.0627818, TrueRes=0.034609, MFlop/s=659.908 ITER[224]: Lambda=0.01, LRes=0.0627805, TrueRes=0.0346075, MFlop/s=614.64 ITER[225]: Lambda=0.01, LRes=0.0627792, TrueRes=0.0346059, MFlop/s=636.311 ITER[226]: Lambda=0.01, LRes=0.0627779, TrueRes=0.0346043, MFlop/s=614.77 ITER[227]: Lambda=0.01, LRes=0.0627766, TrueRes=0.0346028, MFlop/s=656.242 ITER[228]: Lambda=0.01, LRes=0.0627754, TrueRes=0.0346013, MFlop/s=573.934 ITER[229]: Lambda=0.01, LRes=0.0627741, TrueRes=0.0345998, MFlop/s=620.244 ITER[230]: Lambda=0.01, LRes=0.0627729, TrueRes=0.0345983, MFlop/s=625.266 ITER[231]: Lambda=0.01, LRes=0.0627717, TrueRes=0.0345969, MFlop/s=618.94 ITER[232]: Lambda=0.01, LRes=0.0627704, TrueRes=0.0345954, MFlop/s=624.349 ITER[233]: Lambda=0.01, LRes=0.0627693, TrueRes=0.034594, MFlop/s=522.473 ITER[234]: Lambda=0.01, LRes=0.0627681, TrueRes=0.0345926, MFlop/s=565.007 ITER[235]: Lambda=0.01, LRes=0.0627669, TrueRes=0.0345912, MFlop/s=504.686 ITER[236]: Lambda=0.01, LRes=0.0627658, TrueRes=0.0345898, MFlop/s=673.529 ITER[237]: Lambda=0.01, LRes=0.0627646, TrueRes=0.0345884, MFlop/s=538.489 ITER[238]: Lambda=0.01, LRes=0.0627635, TrueRes=0.034587, MFlop/s=343.697 ITER[239]: Lambda=0.01, LRes=0.0627624, TrueRes=0.0345857, MFlop/s=673.549 ITER[240]: Lambda=0.01, LRes=0.0627613, TrueRes=0.0345843, MFlop/s=674.005 ITER[241]: Lambda=0.01, LRes=0.0627602, TrueRes=0.034583, MFlop/s=2.88142 ITER[242]: Lambda=0.01, LRes=0.0627591, TrueRes=0.0345817, MFlop/s=16.9827 ITER[243]: Lambda=0.01, LRes=0.062758, TrueRes=0.0345804, MFlop/s=668.213 ITER[244]: Lambda=0.01, LRes=0.0627569, TrueRes=0.0345791, MFlop/s=677.236 ITER[245]: Lambda=0.01, LRes=0.0627559, TrueRes=0.0345778, MFlop/s=679.35 ITER[246]: Lambda=0.01, LRes=0.0627548, TrueRes=0.0345765, MFlop/s=679.046 ITER[247]: Lambda=0.01, LRes=0.0627538, TrueRes=0.0345753, MFlop/s=679.3 ITER[248]: Lambda=0.01, LRes=0.0627528, TrueRes=0.034574, MFlop/s=675.913 ITER[249]: Lambda=0.01, LRes=0.0627518, TrueRes=0.0345728, MFlop/s=676.412 ITER[250]: Lambda=0.01, LRes=0.0627508, TrueRes=0.0345716, MFlop/s=674.916 ITER[251]: Lambda=0.01, LRes=0.0627498, TrueRes=0.0345704, MFlop/s=221.825 ITER[252]: Lambda=0.01, LRes=0.0627488, TrueRes=0.0345692, MFlop/s=217.973 ITER[253]: Lambda=0.01, LRes=0.0627478, TrueRes=0.034568, MFlop/s=224.097 ITER[254]: Lambda=0.01, LRes=0.0627468, TrueRes=0.0345668, MFlop/s=214.82 ITER[255]: Lambda=0.01, LRes=0.0627459, TrueRes=0.0345656, MFlop/s=225.611 ITER[256]: Lambda=0.01, LRes=0.0627449, TrueRes=0.0345645, MFlop/s=229.51 ITER[257]: Lambda=0.01, LRes=0.062744, TrueRes=0.0345634, MFlop/s=249.011 ITER[258]: Lambda=0.01, LRes=0.0627431, TrueRes=0.0345622, MFlop/s=287.879 ITER[259]: Lambda=0.01, LRes=0.0627422, TrueRes=0.0345611, MFlop/s=281.497 ITER[260]: Lambda=0.01, LRes=0.0627412, TrueRes=0.03456, MFlop/s=302.508 ITER[261]: Lambda=0.01, LRes=0.0627403, TrueRes=0.0345589, MFlop/s=244.658 ITER[262]: Lambda=0.01, LRes=0.0627395, TrueRes=0.0345579, MFlop/s=227.679 ITER[263]: Lambda=0.01, LRes=0.0627386, TrueRes=0.0345568, MFlop/s=220.156 ITER[264]: Lambda=0.01, LRes=0.0627377, TrueRes=0.0345557, MFlop/s=212.564 ITER[265]: Lambda=0.01, LRes=0.0627368, TrueRes=0.0345547, MFlop/s=224.472 ITER[266]: Lambda=0.01, LRes=0.062736, TrueRes=0.0345537, MFlop/s=221.036 ITER[267]: Lambda=0.01, LRes=0.0627351, TrueRes=0.0345527, MFlop/s=200.606 ITER[268]: Lambda=0.01, LRes=0.0627343, TrueRes=0.0345517, MFlop/s=224.563 ITER[269]: Lambda=0.01, LRes=0.0627335, TrueRes=0.0345507, MFlop/s=221.03 ITER[270]: Lambda=0.01, LRes=0.0627327, TrueRes=0.0345497, MFlop/s=231.866 ITER[271]: Lambda=0.01, LRes=0.0627318, TrueRes=0.0345488, MFlop/s=4.80466 ITER[272]: Lambda=0.01, LRes=0.062731, TrueRes=0.0345478, MFlop/s=5.66441 ITER[273]: Lambda=0.01, LRes=0.0627302, TrueRes=0.0345469, MFlop/s=15.2058 ITER[274]: Lambda=0.01, LRes=0.0627295, TrueRes=0.034546, MFlop/s=361.275 ITER[275]: Lambda=0.01, LRes=0.0627287, TrueRes=0.0345451, MFlop/s=676.841 ITER[276]: Lambda=0.01, LRes=0.0627279, TrueRes=0.0345442, MFlop/s=4.54549 ITER[277]: Lambda=0.01, LRes=0.0627272, TrueRes=0.0345433, MFlop/s=35.8037 ITER[278]: Lambda=0.01, LRes=0.0627264, TrueRes=0.0345425, MFlop/s=677.097 ITER[279]: Lambda=0.01, LRes=0.0627257, TrueRes=0.0345416, MFlop/s=676.663 ITER[280]: Lambda=0.01, LRes=0.0627249, TrueRes=0.0345408, MFlop/s=678.137 ITER[281]: Lambda=0.01, LRes=0.0627242, TrueRes=0.03454, MFlop/s=88.5216 ITER[282]: Lambda=0.01, LRes=0.0627235, TrueRes=0.0345392, MFlop/s=227.601 ITER[283]: Lambda=0.01, LRes=0.0627228, TrueRes=0.0345384, MFlop/s=257.748 ITER[284]: Lambda=0.01, LRes=0.062722, TrueRes=0.0345376, MFlop/s=298.819 ITER[285]: Lambda=0.01, LRes=0.0627213, TrueRes=0.0345369, MFlop/s=301.383 ITER[286]: Lambda=0.01, LRes=0.0627207, TrueRes=0.0345361, MFlop/s=307.301 ITER[287]: Lambda=0.01, LRes=0.06272, TrueRes=0.0345354, MFlop/s=308.725 ITER[288]: Lambda=0.01, LRes=0.0627193, TrueRes=0.0345347, MFlop/s=438.83 ITER[289]: Lambda=0.01, LRes=0.0627186, TrueRes=0.0345339, MFlop/s=633.624 ITER[290]: Lambda=0.01, LRes=0.062718, TrueRes=0.0345332, MFlop/s=674.964 ITER[291]: Lambda=0.01, LRes=0.0627173, TrueRes=0.0345326, MFlop/s=289.77 ITER[292]: Lambda=0.01, LRes=0.0627167, TrueRes=0.0345319, MFlop/s=252.905 ITER[293]: Lambda=0.01, LRes=0.062716, TrueRes=0.0345312, MFlop/s=249.205 ITER[294]: Lambda=0.01, LRes=0.0627154, TrueRes=0.0345306, MFlop/s=264.548 ITER[295]: Lambda=0.01, LRes=0.0627148, TrueRes=0.0345299, MFlop/s=231.323 ITER[296]: Lambda=0.01, LRes=0.0627141, TrueRes=0.0345293, MFlop/s=248.393 ITER[297]: Lambda=0.01, LRes=0.0627135, TrueRes=0.0345287, MFlop/s=237.578 ITER[298]: Lambda=0.01, LRes=0.0627129, TrueRes=0.0345281, MFlop/s=226.489 ITER[299]: Lambda=0.01, LRes=0.0627123, TrueRes=0.0345275, MFlop/s=215.261