Default is to use a total of 4 processors: 4 via shared-memory 1 via Linda Entering Link 1 = C:\G09W\l1.exe PID= 14292. Copyright (c) 1988,1990,1992,1993,1995,1998,2003,2009,2013, Gaussian, Inc. All Rights Reserved. This is part of the Gaussian(R) 09 program. It is based on the Gaussian(R) 03 system (copyright 2003, Gaussian, Inc.), the Gaussian(R) 98 system (copyright 1998, Gaussian, Inc.), the Gaussian(R) 94 system (copyright 1995, Gaussian, Inc.), the Gaussian 92(TM) system (copyright 1992, Gaussian, Inc.), the Gaussian 90(TM) system (copyright 1990, Gaussian, Inc.), the Gaussian 88(TM) system (copyright 1988, Gaussian, Inc.), the Gaussian 86(TM) system (copyright 1986, Carnegie Mellon University), and the Gaussian 82(TM) system (copyright 1983, Carnegie Mellon University). Gaussian is a federally registered trademark of Gaussian, Inc. This software contains proprietary and confidential information, including trade secrets, belonging to Gaussian, Inc. This software is provided under written license and may be used, copied, transmitted, or stored only in accord with that written license. The following legend is applicable only to US Government contracts under FAR: RESTRICTED RIGHTS LEGEND Use, reproduction and disclosure by the US Government is subject to restrictions as set forth in subparagraphs (a) and (c) of the Commercial Computer Software - Restricted Rights clause in FAR 52.227-19. Gaussian, Inc. 340 Quinnipiac St., Bldg. 40, Wallingford CT 06492 --------------------------------------------------------------- Warning -- This program may not be used in any manner that competes with the business of Gaussian, Inc. or will provide assistance to any competitor of Gaussian, Inc. The licensee of this program is prohibited from giving any competitor of Gaussian, Inc. access to this program. By using this program, the user acknowledges that Gaussian, Inc. is engaged in the business of creating and licensing software in the field of computational chemistry and represents and warrants to the licensee that it is not a competitor of Gaussian, Inc. and that it will not use this program in any manner prohibited above. --------------------------------------------------------------- Cite this work as: Gaussian 09, Revision D.01, M. J. Frisch, G. W. Trucks, H. B. Schlegel, G. E. Scuseria, M. A. Robb, J. R. Cheeseman, G. Scalmani, V. Barone, B. Mennucci, G. A. Petersson, H. Nakatsuji, M. Caricato, X. Li, H. P. Hratchian, A. F. Izmaylov, J. Bloino, G. Zheng, J. L. Sonnenberg, M. Hada, M. Ehara, K. Toyota, R. Fukuda, J. Hasegawa, M. Ishida, T. Nakajima, Y. Honda, O. Kitao, H. Nakai, T. Vreven, J. A. Montgomery, Jr., J. E. Peralta, F. Ogliaro, M. Bearpark, J. J. Heyd, E. Brothers, K. N. Kudin, V. N. Staroverov, T. Keith, R. Kobayashi, J. Normand, K. Raghavachari, A. Rendell, J. C. Burant, S. S. Iyengar, J. Tomasi, M. Cossi, N. Rega, J. M. Millam, M. Klene, J. E. Knox, J. B. Cross, V. Bakken, C. Adamo, J. Jaramillo, R. Gomperts, R. E. Stratmann, O. Yazyev, A. J. Austin, R. Cammi, C. Pomelli, J. W. Ochterski, R. L. Martin, K. Morokuma, V. G. Zakrzewski, G. A. Voth, P. Salvador, J. J. Dannenberg, S. Dapprich, A. D. Daniels, O. Farkas, J. B. Foresman, J. V. Ortiz, J. Cioslowski, and D. J. Fox, Gaussian, Inc., Wallingford CT, 2013. ****************************************** Gaussian 09: EM64W-G09RevD.01 13-Apr-2013 13-Oct-2015 ****************************************** %chk=H:\Year 3 Computational\Transition States\Tutorial\boat_ts_reactprod.chk Default route: MaxDisk=10GB ------------------------------------------ # opt=qst2 freq hf/3-21g geom=connectivity ------------------------------------------ 1/5=1,18=20,27=202,38=1,57=2/1,3; 2/9=110,12=2,17=6,18=5,40=1/2; 3/5=5,11=9,16=1,25=1,30=1,71=1/1,2,3; 4//1; 5/5=2,38=5/2; 6/7=2,8=2,9=2,10=2,28=1/1; 7//1,2,3,16; 1/5=1,18=20,27=202/3(2); 2/9=110/2; 99//99; 2/9=110/2; 3/5=5,11=9,16=1,25=1,30=1,71=1/1,2,3; 4/5=5,16=3,69=1/1; 5/5=2,38=5/2; 7//1,2,3,16; 1/5=1,18=20,27=202/3(-5); 2/9=110/2; 6/7=2,8=2,9=2,10=2,19=2,28=1/1; 99/9=1/99; ------------------- Title Card Required ------------------- Symbolic Z-matrix: Charge = 0 Multiplicity = 1 C 0.10354 0.27368 -0.13924 H 0.21675 1.36561 -0.11917 H -0.21316 0.0083 -1.15837 C -1.01706 -0.1506 0.84097 H -0.70036 0.11478 1.8601 H -1.13027 -1.24253 0.8209 C -2.33622 0.50259 0.53143 H -2.34709 1.59348 0.5764 C 1.4227 -0.37951 0.1703 H 1.43357 -1.47039 0.12533 C 2.54242 0.26471 0.50119 C -3.45594 -0.14163 0.20054 H -3.49363 -1.22785 0.14091 H -4.37916 0.38809 -0.01923 H 3.46564 -0.265 0.72097 H 2.58011 1.35093 0.56082 ------------------- Title Card Required ------------------- Symbolic Z-matrix: Charge = 0 Multiplicity = 1 C -2.77043 -0.32965 0.06893 H -2.80812 -1.41587 0.0093 H -3.69365 0.20007 -0.15085 C 3.22793 0.07669 0.36958 H 4.15115 -0.45302 0.58935 H 3.26562 1.16291 0.42921 C 2.10821 -0.56752 0.03869 H 2.11908 -1.65841 -0.00628 C -1.65071 0.31457 0.39982 H -1.66158 1.40546 0.44478 C -0.33155 -0.33862 0.70935 C 0.78905 0.08567 -0.27085 H 0.90227 1.1776 -0.25078 H 0.47235 -0.17971 -1.28998 H -0.01485 -0.07324 1.72849 H -0.44476 -1.43055 0.68929 Iteration 1 RMS(Cart)= 0.14545922 RMS(Int)= 1.18507480 Iteration 2 RMS(Cart)= 0.13110449 RMS(Int)= 1.14217934 Iteration 3 RMS(Cart)= 0.11021088 RMS(Int)= 1.10908381 Iteration 4 RMS(Cart)= 0.09153899 RMS(Int)= 1.08526870 Iteration 5 RMS(Cart)= 0.07224050 RMS(Int)= 1.06753440 Iteration 6 RMS(Cart)= 0.06362030 RMS(Int)= 1.05393995 Iteration 7 RMS(Cart)= 0.05819598 RMS(Int)= 1.04229919 Iteration 8 RMS(Cart)= 0.05901815 RMS(Int)= 1.02357304 Iteration 9 RMS(Cart)= 0.05167757 RMS(Int)= 1.00125193 Iteration 10 RMS(Cart)= 0.04790251 RMS(Int)= 0.98512150 Iteration 11 RMS(Cart)= 0.04512321 RMS(Int)= 0.97363379 Iteration 12 RMS(Cart)= 0.04257603 RMS(Int)= 0.96574031 Iteration 13 RMS(Cart)= 0.04069016 RMS(Int)= 0.96048651 Iteration 14 RMS(Cart)= 0.03990814 RMS(Int)= 0.95672411 Iteration 15 RMS(Cart)= 0.03884250 RMS(Int)= 0.95413643 Iteration 16 RMS(Cart)= 0.03585615 RMS(Int)= 0.95250254 Iteration 17 RMS(Cart)= 0.04715477 RMS(Int)= 0.94483729 Iteration 18 RMS(Cart)= 0.01433404 RMS(Int)= 0.94135103 Iteration 19 RMS(Cart)= 0.00704173 RMS(Int)= 0.93911605 Iteration 20 RMS(Cart)= 0.02627700 RMS(Int)= 0.92893901 Iteration 21 RMS(Cart)= 0.01677029 RMS(Int)= 0.92314837 Iteration 22 RMS(Cart)= 0.01102817 RMS(Int)= 0.91959918 Iteration 23 RMS(Cart)= 0.00741178 RMS(Int)= 0.91724756 Iteration 24 RMS(Cart)= 0.00502841 RMS(Int)= 0.91563009 Iteration 25 RMS(Cart)= 0.00344010 RMS(Int)= 0.91449106 Iteration 26 RMS(Cart)= 0.00237232 RMS(Int)= 0.91367265 Iteration 27 RMS(Cart)= 0.00165152 RMS(Int)= 0.91307279 Iteration 28 RMS(Cart)= 0.00116505 RMS(Int)= 0.91262362 Iteration 29 RMS(Cart)= 0.00083836 RMS(Int)= 0.91227924 Iteration 30 RMS(Cart)= 0.00061854 RMS(Int)= 0.91200720 Iteration 31 RMS(Cart)= 0.00047210 RMS(Int)= 0.91177542 Iteration 32 RMS(Cart)= 0.00039434 RMS(Int)= 0.91157120 Iteration 33 RMS(Cart)= 0.00034608 RMS(Int)= 0.91138834 Iteration 34 RMS(Cart)= 0.00031173 RMS(Int)= 0.91122281 Iteration 35 RMS(Cart)= 0.00028525 RMS(Int)= 0.91107176 Iteration 36 RMS(Cart)= 0.00026395 RMS(Int)= 0.91093300 Iteration 37 RMS(Cart)= 0.00024641 RMS(Int)= 0.91080480 Iteration 38 RMS(Cart)= 0.00023172 RMS(Int)= 0.91068576 Iteration 39 RMS(Cart)= 0.00021927 RMS(Int)= 0.91057470 Iteration 40 RMS(Cart)= 0.00020856 RMS(Int)= 0.91047065 Iteration 41 RMS(Cart)= 0.00019924 RMS(Int)= 0.91037279 Iteration 42 RMS(Cart)= 0.00019101 RMS(Int)= 0.91028040 Iteration 43 RMS(Cart)= 0.00018366 RMS(Int)= 0.91019290 Iteration 44 RMS(Cart)= 0.00017702 RMS(Int)= 0.91010979 Iteration 45 RMS(Cart)= 0.00017094 RMS(Int)= 0.91003063 Iteration 46 RMS(Cart)= 0.00016532 RMS(Int)= 0.90995505 Iteration 47 RMS(Cart)= 0.00016009 RMS(Int)= 0.90988273 Iteration 48 RMS(Cart)= 0.00015518 RMS(Int)= 0.90981340 Iteration 49 RMS(Cart)= 0.00015053 RMS(Int)= 0.90974682 Iteration 50 RMS(Cart)= 0.00014612 RMS(Int)= 0.90968277 Iteration 51 RMS(Cart)= 0.00014190 RMS(Int)= 0.90962109 Iteration 52 RMS(Cart)= 0.00013786 RMS(Int)= 0.90956161 Iteration 53 RMS(Cart)= 0.00013398 RMS(Int)= 0.90950419 Iteration 54 RMS(Cart)= 0.00013024 RMS(Int)= 0.90944872 Iteration 55 RMS(Cart)= 0.00012662 RMS(Int)= 0.90939507 Iteration 56 RMS(Cart)= 0.00012313 RMS(Int)= 0.90934317 Iteration 57 RMS(Cart)= 0.00011974 RMS(Int)= 0.90929291 Iteration 58 RMS(Cart)= 0.00011646 RMS(Int)= 0.90924421 Iteration 59 RMS(Cart)= 0.00011328 RMS(Int)= 0.90919702 Iteration 60 RMS(Cart)= 0.00011019 RMS(Int)= 0.90915126 Iteration 61 RMS(Cart)= 0.00010718 RMS(Int)= 0.90910688 Iteration 62 RMS(Cart)= 0.00010426 RMS(Int)= 0.90906382 Iteration 63 RMS(Cart)= 0.00010143 RMS(Int)= 0.90902202 Iteration 64 RMS(Cart)= 0.00009867 RMS(Int)= 0.90898145 Iteration 65 RMS(Cart)= 0.00009598 RMS(Int)= 0.90894206 Iteration 66 RMS(Cart)= 0.00009337 RMS(Int)= 0.90890381 Iteration 67 RMS(Cart)= 0.00009083 RMS(Int)= 0.90886666 Iteration 68 RMS(Cart)= 0.00008836 RMS(Int)= 0.90883057 Iteration 69 RMS(Cart)= 0.00008596 RMS(Int)= 0.90879550 Iteration 70 RMS(Cart)= 0.00008362 RMS(Int)= 0.90876144 Iteration 71 RMS(Cart)= 0.00008134 RMS(Int)= 0.90872834 Iteration 72 RMS(Cart)= 0.00007913 RMS(Int)= 0.90869618 Iteration 73 RMS(Cart)= 0.00007697 RMS(Int)= 0.90866492 Iteration 74 RMS(Cart)= 0.00007487 RMS(Int)= 0.90863454 Iteration 75 RMS(Cart)= 0.00007283 RMS(Int)= 0.90860502 Iteration 76 RMS(Cart)= 0.00007084 RMS(Int)= 0.90857633 Iteration 77 RMS(Cart)= 0.00006891 RMS(Int)= 0.90854843 Iteration 78 RMS(Cart)= 0.00006703 RMS(Int)= 0.90852133 Iteration 79 RMS(Cart)= 0.00006520 RMS(Int)= 0.90849497 Iteration 80 RMS(Cart)= 0.00006341 RMS(Int)= 0.90846936 Iteration 81 RMS(Cart)= 0.00006168 RMS(Int)= 0.90844446 Iteration 82 RMS(Cart)= 0.00005999 RMS(Int)= 0.90842025 Iteration 83 RMS(Cart)= 0.00005835 RMS(Int)= 0.90839673 Iteration 84 RMS(Cart)= 0.00005675 RMS(Int)= 0.90837385 Iteration 85 RMS(Cart)= 0.00005520 RMS(Int)= 0.90835162 Iteration 86 RMS(Cart)= 0.00005369 RMS(Int)= 0.90833000 Iteration 87 RMS(Cart)= 0.00005222 RMS(Int)= 0.90830899 Iteration 88 RMS(Cart)= 0.00005078 RMS(Int)= 0.90828856 Iteration 89 RMS(Cart)= 0.00004939 RMS(Int)= 0.90826870 Iteration 90 RMS(Cart)= 0.00004804 RMS(Int)= 0.90824939 Iteration 91 RMS(Cart)= 0.00004672 RMS(Int)= 0.90823062 Iteration 92 RMS(Cart)= 0.00004544 RMS(Int)= 0.90821237 Iteration 93 RMS(Cart)= 0.00004419 RMS(Int)= 0.90819463 Iteration 94 RMS(Cart)= 0.00004297 RMS(Int)= 0.90817738 Iteration 95 RMS(Cart)= 0.00004179 RMS(Int)= 0.90816062 Iteration 96 RMS(Cart)= 0.00004064 RMS(Int)= 0.90814432 Iteration 97 RMS(Cart)= 0.00003953 RMS(Int)= 0.90812847 Iteration 98 RMS(Cart)= 0.00003844 RMS(Int)= 0.90811306 Iteration 99 RMS(Cart)= 0.00003738 RMS(Int)= 0.90809808 Iteration100 RMS(Cart)= 0.00003635 RMS(Int)= 0.90808352 New curvilinear step not converged. FormGI is forming the generalized inverse of G from B-inverse, IUseBI=4. RedQX1 iteration 1 Try 1 RMS(Cart)= 0.20225589 RMS(Int)= 1.13202935 XScale= 7.66700675 RedQX1 iteration 1 Try 2 RMS(Cart)= 0.20283794 RMS(Int)= 1.04602955 XScale= 3.85720915 RedQX1 iteration 1 Try 3 RMS(Cart)= 0.20603479 RMS(Int)= 0.97713803 XScale= 2.56983893 RedQX1 iteration 1 Try 4 RMS(Cart)= 0.21736484 RMS(Int)= 0.92737023 XScale= 1.90612070 RedQX1 iteration 1 Try 5 RMS(Cart)= 0.27022287 RMS(Int)= 0.90205851 XScale= 1.45848216 RedQX1 iteration 1 Try 6 RMS(Cart)= 0.18863607 RMS(Int)= 0.98485315 XScale= 1.33096386 RedQX1 iteration 2 Try 1 RMS(Cart)= 0.06162339 RMS(Int)= 1.13324697 XScale= 1.29574240 RedQX1 iteration 2 Try 2 RMS(Cart)= 0.05021512 RMS(Int)= 1.13122659 XScale= 1.30039680 RedQX1 iteration 2 Try 3 RMS(Cart)= 0.05913912 RMS(Int)= 1.13136135 XScale= 1.29383390 RedQX1 iteration 2 Try 4 RMS(Cart)= 0.08523359 RMS(Int)= 1.13498177 XScale= 1.26830538 RedQX1 iteration 2 Try 5 RMS(Cart)= 0.18048817 RMS(Int)= 1.15544429 XScale= 1.18798744 RedQX1 iteration 2 Try 6 RMS(Cart)= 0.24152006 RMS(Int)= 1.20834424 XScale= 1.06272977 RedQX1 iteration 3 Try 1 RMS(Cart)= 0.07524037 RMS(Int)= 1.23169917 XScale= 1.02562675 RedQX1 iteration 3 Try 2 RMS(Cart)= 0.10631335 RMS(Int)= 1.26762090 XScale= 0.98059202 RedQX1 iteration 4 Try 1 RMS(Cart)= 0.08505068 RMS(Int)= 1.26018358 XScale= 0.98910965 RedQX1 iteration 5 Try 1 RMS(Cart)= 0.01701014 RMS(Int)= 1.23720992 XScale= 1.01796284 RedQX1 iteration 5 Try 2 RMS(Cart)= 0.01816266 RMS(Int)= 1.24316368 XScale= 1.01005350 RedQX1 iteration 5 Try 3 RMS(Cart)= 0.01944017 RMS(Int)= 1.24960097 XScale= 1.00188714 RedQX1 iteration 5 Try 4 RMS(Cart)= 0.02086270 RMS(Int)= 1.25657839 XScale= 0.99343622 RedQX1 iteration 6 Try 1 RMS(Cart)= 0.01835918 RMS(Int)= 1.25573483 XScale= 0.99443832 RedQX1 iteration 7 Try 1 RMS(Cart)= 0.00367184 RMS(Int)= 1.25082037 XScale= 1.00038269 RedQX1 iteration 7 Try 2 RMS(Cart)= 0.00371936 RMS(Int)= 1.25205779 XScale= 0.99886884 RedQX1 iteration 8 Try 1 RMS(Cart)= 0.00368961 RMS(Int)= 1.25204787 XScale= 0.99888092 RedQX1 iteration 9 Try 1 RMS(Cart)= 0.00073792 RMS(Int)= 1.25106557 XScale= 1.00008173 RedQX1 iteration 9 Try 2 RMS(Cart)= 0.00073982 RMS(Int)= 1.25131150 XScale= 0.99978040 RedQX1 iteration 9 Try 3 RMS(Cart)= 0.00074172 RMS(Int)= 1.25155814 XScale= 0.99947870 RedQX1 iteration 9 Try 4 RMS(Cart)= 0.00074364 RMS(Int)= 1.25180551 XScale= 0.99917661 RedQX1 iteration 9 Try 5 RMS(Cart)= 0.00074556 RMS(Int)= 1.25205361 XScale= 0.99887414 RedQX1 iteration 10 Try 1 RMS(Cart)= 0.00074079 RMS(Int)= 1.25205202 XScale= 0.99887608 RedQX1 iteration 11 Try 1 RMS(Cart)= 0.00014816 RMS(Int)= 1.25185480 XScale= 0.99911648 RedQX1 iteration 11 Try 2 RMS(Cart)= 0.00014823 RMS(Int)= 1.25190412 XScale= 0.99905633 RedQX1 iteration 11 Try 3 RMS(Cart)= 0.00014831 RMS(Int)= 1.25195347 XScale= 0.99899617 RedQX1 iteration 12 Try 1 RMS(Cart)= 0.00014821 RMS(Int)= 1.25195343 XScale= 0.99899621 RedQX1 iteration 13 Try 1 RMS(Cart)= 0.00002964 RMS(Int)= 1.25191398 XScale= 0.99904431 RedQX1 iteration 13 Try 2 RMS(Cart)= 0.00002965 RMS(Int)= 1.25192384 XScale= 0.99903228 RedQX1 iteration 13 Try 3 RMS(Cart)= 0.00002965 RMS(Int)= 1.25193371 XScale= 0.99902026 RedQX1 iteration 13 Try 4 RMS(Cart)= 0.00002965 RMS(Int)= 1.25194358 XScale= 0.99900823 RedQX1 iteration 13 Try 5 RMS(Cart)= 0.00002966 RMS(Int)= 1.25195344 XScale= 0.99899620 RedQX1 iteration 14 Try 1 RMS(Cart)= 0.00002965 RMS(Int)= 1.25195344 XScale= 0.99899621 RedQX1 iteration 15 Try 1 RMS(Cart)= 0.00000593 RMS(Int)= 1.25194555 XScale= 0.99900582 RedQX1 iteration 15 Try 2 RMS(Cart)= 0.00000593 RMS(Int)= 1.25194752 XScale= 0.99900342 RedQX1 iteration 15 Try 3 RMS(Cart)= 0.00000593 RMS(Int)= 1.25194950 XScale= 0.99900101 RedQX1 iteration 15 Try 4 RMS(Cart)= 0.00000593 RMS(Int)= 1.25195147 XScale= 0.99899861 RedQX1 iteration 16 Try 1 RMS(Cart)= 0.00000593 RMS(Int)= 1.25195147 XScale= 0.99899861 RedQX1 iteration 17 Try 1 RMS(Cart)= 0.00000119 RMS(Int)= 1.25194989 XScale= 0.99900053 RedQX1 iteration 17 Try 2 RMS(Cart)= 0.00000119 RMS(Int)= 1.25195028 XScale= 0.99900005 RedQX1 iteration 17 Try 3 RMS(Cart)= 0.00000119 RMS(Int)= 1.25195068 XScale= 0.99899957 RedQX1 iteration 18 Try 1 RMS(Cart)= 0.00000119 RMS(Int)= 1.25195068 XScale= 0.99899957 RedQX1 iteration 19 Try 1 RMS(Cart)= 0.00000024 RMS(Int)= 1.25195036 XScale= 0.99899996 RedQX1 iteration 20 Try 1 RMS(Cart)= 0.00000005 RMS(Int)= 1.25195030 XScale= 0.99900003 Iteration 1 RMS(Cart)= 0.17017287 RMS(Int)= 2.16483817 Iteration 2 RMS(Cart)= 0.13058263 RMS(Int)= 2.11111790 Iteration 3 RMS(Cart)= 0.00623550 RMS(Int)= 2.10815971 Iteration 4 RMS(Cart)= 0.00608415 RMS(Int)= 2.10526397 Iteration 5 RMS(Cart)= 0.00595182 RMS(Int)= 2.10242218 Iteration 6 RMS(Cart)= 0.00583455 RMS(Int)= 2.09962763 Iteration 7 RMS(Cart)= 0.00572948 RMS(Int)= 2.09687489 Iteration 8 RMS(Cart)= 0.00563448 RMS(Int)= 2.09415948 Iteration 9 RMS(Cart)= 0.00554887 RMS(Int)= 2.09147749 Iteration 10 RMS(Cart)= 0.00547382 RMS(Int)= 2.08882502 Iteration 11 RMS(Cart)= 0.00539523 RMS(Int)= 2.08620250 Iteration 12 RMS(Cart)= 0.00531738 RMS(Int)= 2.08360907 Iteration 13 RMS(Cart)= 0.00524592 RMS(Int)= 2.08104193 Iteration 14 RMS(Cart)= 0.00518054 RMS(Int)= 2.07849842 Iteration 15 RMS(Cart)= 0.00512066 RMS(Int)= 2.07597609 Iteration 16 RMS(Cart)= 0.00506398 RMS(Int)= 2.07347363 Iteration 17 RMS(Cart)= 0.00500012 RMS(Int)= 2.07099483 Iteration 18 RMS(Cart)= 0.00489460 RMS(Int)= 2.06856068 Iteration 19 RMS(Cart)= 0.00471607 RMS(Int)= 2.06620806 Iteration 20 RMS(Cart)= 0.00453318 RMS(Int)= 2.06393994 Iteration 21 RMS(Cart)= 0.00439763 RMS(Int)= 2.06173335 Iteration 22 RMS(Cart)= 0.00429963 RMS(Int)= 2.05956999 Iteration 23 RMS(Cart)= 0.00422431 RMS(Int)= 2.05743880 Iteration 24 RMS(Cart)= 0.00416281 RMS(Int)= 2.05533309 Iteration 25 RMS(Cart)= 0.00411021 RMS(Int)= 2.05324861 Iteration 26 RMS(Cart)= 0.00331967 RMS(Int)= 2.05156029 Iteration 27 RMS(Cart)= 0.00328260 RMS(Int)= 2.04988656 Iteration 28 RMS(Cart)= 0.00324690 RMS(Int)= 2.04822690 Iteration 29 RMS(Cart)= 0.00321247 RMS(Int)= 2.04658083 Iteration 30 RMS(Cart)= 0.00317923 RMS(Int)= 2.04494790 Iteration 31 RMS(Cart)= 0.00314710 RMS(Int)= 2.04332770 Iteration 32 RMS(Cart)= 0.00311602 RMS(Int)= 2.04171983 Iteration 33 RMS(Cart)= 0.00308593 RMS(Int)= 2.04012395 Iteration 34 RMS(Cart)= 0.00203120 RMS(Int)= 2.03907101 Iteration 35 RMS(Cart)= 0.00201243 RMS(Int)= 2.03802631 Iteration 36 RMS(Cart)= 0.00199409 RMS(Int)= 2.03698967 Iteration 37 RMS(Cart)= 0.00197612 RMS(Int)= 2.03596097 Iteration 38 RMS(Cart)= 0.00195853 RMS(Int)= 2.03494005 Iteration 39 RMS(Cart)= 0.00194129 RMS(Int)= 2.03392680 Iteration 40 RMS(Cart)= 0.00192440 RMS(Int)= 2.03292109 Iteration 41 RMS(Cart)= 0.00190781 RMS(Int)= 2.03192284 Iteration 42 RMS(Cart)= 0.00189153 RMS(Int)= 2.03093199 Iteration 43 RMS(Cart)= 0.00027454 RMS(Int)= 2.03078786 Iteration 44 RMS(Cart)= 0.00027273 RMS(Int)= 2.03064465 Iteration 45 RMS(Cart)= 0.00027093 RMS(Int)= 2.03050236 Iteration 46 RMS(Cart)= 0.00026915 RMS(Int)= 2.03036099 Iteration 47 RMS(Cart)= 0.00026739 RMS(Int)= 2.03022051 Iteration 48 RMS(Cart)= 0.00026563 RMS(Int)= 2.03008093 Iteration 49 RMS(Cart)= 0.00026389 RMS(Int)= 2.02994224 Iteration 50 RMS(Cart)= 0.00026217 RMS(Int)= 2.02980443 Iteration 51 RMS(Cart)= 0.00026046 RMS(Int)= 2.02966750 Iteration 52 RMS(Cart)= 0.00025876 RMS(Int)= 2.02953144 Iteration 53 RMS(Cart)= 0.00025708 RMS(Int)= 2.02939624 Iteration 54 RMS(Cart)= 0.00025540 RMS(Int)= 2.02926190 Iteration 55 RMS(Cart)= 0.00025375 RMS(Int)= 2.02912841 Iteration 56 RMS(Cart)= 0.00025210 RMS(Int)= 2.02899576 Iteration 57 RMS(Cart)= 0.00025047 RMS(Int)= 2.02886395 Iteration 58 RMS(Cart)= 0.00024885 RMS(Int)= 2.02873298 Iteration 59 RMS(Cart)= 0.00024724 RMS(Int)= 2.02860283 Iteration 60 RMS(Cart)= 0.00024564 RMS(Int)= 2.02847350 Iteration 61 RMS(Cart)= 0.00024406 RMS(Int)= 2.02834498 Iteration 62 RMS(Cart)= 0.00024248 RMS(Int)= 2.02821728 Iteration 63 RMS(Cart)= 0.00024092 RMS(Int)= 2.02809038 Iteration 64 RMS(Cart)= 0.00023937 RMS(Int)= 2.02796428 Iteration 65 RMS(Cart)= 0.00023783 RMS(Int)= 2.02783898 Iteration 66 RMS(Cart)= 0.00023630 RMS(Int)= 2.02771447 Iteration 67 RMS(Cart)= 0.00023478 RMS(Int)= 2.02759075 Iteration 68 RMS(Cart)= 0.00023327 RMS(Int)= 2.02746782 Iteration 69 RMS(Cart)= 0.00023177 RMS(Int)= 2.02734567 Iteration 70 RMS(Cart)= 0.00023028 RMS(Int)= 2.02722431 Iteration 71 RMS(Cart)= 0.00022879 RMS(Int)= 2.02710374 Iteration 72 RMS(Cart)= 0.00022730 RMS(Int)= 2.02698400 Iteration 73 RMS(Cart)= 0.00022581 RMS(Int)= 2.02686514 Iteration 74 RMS(Cart)= 0.00022430 RMS(Int)= 2.02674757 Iteration 75 RMS(Cart)= 0.00022263 RMS(Int)= 2.04246624 Iteration 76 RMS(Cart)= 0.00532009 RMS(Int)= 2.03958998 Iteration 77 RMS(Cart)= 0.00526746 RMS(Int)= 2.03671359 Iteration 78 RMS(Cart)= 0.00294853 RMS(Int)= 2.03509206 Iteration 79 RMS(Cart)= 0.00293560 RMS(Int)= 2.03347485 Iteration 80 RMS(Cart)= 0.00292273 RMS(Int)= 2.03186248 Iteration 81 RMS(Cart)= 0.00290975 RMS(Int)= 2.03025562 Iteration 82 RMS(Cart)= 0.00289631 RMS(Int)= 2.02865589 Iteration 83 RMS(Cart)= 0.00288133 RMS(Int)= 2.02707219 Iteration 84 RMS(Cart)= 0.00211322 RMS(Int)= 2.04047459 Iteration 85 RMS(Cart)= 0.00653799 RMS(Int)= 2.03647806 Iteration 86 RMS(Cart)= 0.00650700 RMS(Int)= 2.03245750 Iteration 87 RMS(Cart)= 0.00647791 RMS(Int)= 2.02843428 Iteration 88 RMS(Cart)= 0.00645106 RMS(Int)= 2.02441344 Iteration 89 RMS(Cart)= 0.00642643 RMS(Int)= 2.02039654 Iteration 90 RMS(Cart)= 0.00640395 RMS(Int)= 2.01638387 Iteration 91 RMS(Cart)= 0.00638354 RMS(Int)= 2.01237521 Iteration 92 RMS(Cart)= 0.00636512 RMS(Int)= 2.00837006 Iteration 93 RMS(Cart)= 0.00634861 RMS(Int)= 2.00436776 Iteration 94 RMS(Cart)= 0.00633395 RMS(Int)= 2.00036757 Iteration 95 RMS(Cart)= 0.00632106 RMS(Int)= 1.99636867 Iteration 96 RMS(Cart)= 0.00630987 RMS(Int)= 1.99237021 Iteration 97 RMS(Cart)= 0.00630033 RMS(Int)= 1.98837126 Iteration 98 RMS(Cart)= 0.00629235 RMS(Int)= 1.98437086 Iteration 99 RMS(Cart)= 0.00628587 RMS(Int)= 1.98036787 Iteration100 RMS(Cart)= 0.00628081 RMS(Int)= 1.97636092 New curvilinear step not converged. FormGI is forming the generalized inverse of G from B-inverse, IUseBI=4. RedQX1 iteration 1 Try 1 RMS(Cart)= 0.50001107 RMS(Int)= 1.98465169 XScale= 6.56425909 RedQX1 iteration 1 Try 2 RMS(Cart)= 0.49342670 RMS(Int)= 1.89303243 XScale= 2.83257177 RedQX1 iteration 1 Try 3 RMS(Cart)= 0.48519995 RMS(Int)= 1.86683037 XScale= 1.81558961 RedQX1 iteration 1 Try 4 RMS(Cart)= 0.55943319 RMS(Int)= 2.03675083 XScale= 1.41496811 RedQX1 iteration 1 Try 5 RMS(Cart)= 1.06238336 RMS(Int)= 2.43090433 XScale= 1.28480922 RedQX1 iteration 1 Try 6 RMS(Cart)= 1.96666283 RMS(Int)= 3.78337488 XScale= 0.84322044 RedQX1 iteration 2 Try 1 RMS(Cart)= 0.39333257 RMS(Int)= 2.72338637 XScale= 1.22576412 RedQX1 iteration 2 Try 2 RMS(Cart)= 0.51129443 RMS(Int)= 3.02614789 XScale= 1.12938729 RedQX1 iteration 2 Try 3 RMS(Cart)= 0.91928989 RMS(Int)= 3.68225546 XScale= 0.89960920 RedQX1 iteration 3 Try 1 RMS(Cart)= 0.55157393 RMS(Int)= 3.40556254 XScale= 0.99165530 RedQX1 iteration 4 Try 1 RMS(Cart)= 0.11031479 RMS(Int)= 3.09779357 XScale= 1.10342044 RedQX1 iteration 4 Try 2 RMS(Cart)= 0.11837594 RMS(Int)= 3.17728096 XScale= 1.07435988 RedQX1 iteration 4 Try 3 RMS(Cart)= 0.12749414 RMS(Int)= 3.26561597 XScale= 1.04223711 RedQX1 iteration 4 Try 4 RMS(Cart)= 0.13785759 RMS(Int)= 3.36398033 XScale= 1.00712992 RedQX1 iteration 4 Try 5 RMS(Cart)= 0.14969926 RMS(Int)= 3.47377590 XScale= 0.96916567 RedQX1 iteration 5 Try 1 RMS(Cart)= 0.12574738 RMS(Int)= 3.45600923 XScale= 0.97521806 RedQX1 iteration 6 Try 1 RMS(Cart)= 0.02514948 RMS(Int)= 3.38221283 XScale= 1.00073845 RedQX1 iteration 6 Try 2 RMS(Cart)= 0.02551731 RMS(Int)= 3.40079953 XScale= 0.99426061 RedQX1 iteration 7 Try 1 RMS(Cart)= 0.02531317 RMS(Int)= 3.40065048 XScale= 0.99431241 RedQX1 iteration 8 Try 1 RMS(Cart)= 0.00506263 RMS(Int)= 3.38589323 XScale= 0.99945304 RedQX1 iteration 8 Try 2 RMS(Cart)= 0.00507736 RMS(Int)= 3.38958782 XScale= 0.99816419 RedQX1 iteration 9 Try 1 RMS(Cart)= 0.00506924 RMS(Int)= 3.38958190 XScale= 0.99816625 RedQX1 iteration 10 Try 1 RMS(Cart)= 0.00101385 RMS(Int)= 3.38663068 XScale= 0.99919567 RedQX1 iteration 10 Try 2 RMS(Cart)= 0.00101444 RMS(Int)= 3.38736870 XScale= 0.99893817 RedQX1 iteration 11 Try 1 RMS(Cart)= 0.00101411 RMS(Int)= 3.38736846 XScale= 0.99893825 RedQX1 iteration 12 Try 1 RMS(Cart)= 0.00020282 RMS(Int)= 3.38677823 XScale= 0.99914419 RedQX1 iteration 12 Try 2 RMS(Cart)= 0.00020285 RMS(Int)= 3.38692579 XScale= 0.99909270 RedQX1 iteration 12 Try 3 RMS(Cart)= 0.00020287 RMS(Int)= 3.38707338 XScale= 0.99904120 RedQX1 iteration 12 Try 4 RMS(Cart)= 0.00020289 RMS(Int)= 3.38722099 XScale= 0.99898970 RedQX1 iteration 13 Try 1 RMS(Cart)= 0.00020285 RMS(Int)= 3.38722097 XScale= 0.99898971 RedQX1 iteration 14 Try 1 RMS(Cart)= 0.00004057 RMS(Int)= 3.38710290 XScale= 0.99903091 RedQX1 iteration 14 Try 2 RMS(Cart)= 0.00004057 RMS(Int)= 3.38713242 XScale= 0.99902061 RedQX1 iteration 14 Try 3 RMS(Cart)= 0.00004057 RMS(Int)= 3.38716193 XScale= 0.99901031 RedQX1 iteration 14 Try 4 RMS(Cart)= 0.00004057 RMS(Int)= 3.38719145 XScale= 0.99900001 RedQX1 iteration 14 Try 5 RMS(Cart)= 0.00004057 RMS(Int)= 3.38722097 XScale= 0.99898971 RedQX1 iteration 15 Try 1 RMS(Cart)= 0.00004057 RMS(Int)= 3.38722097 XScale= 0.99898971 RedQX1 iteration 16 Try 1 RMS(Cart)= 0.00000811 RMS(Int)= 3.38719736 XScale= 0.99899795 RedQX1 iteration 17 Try 1 RMS(Cart)= 0.00000162 RMS(Int)= 3.38719263 XScale= 0.99899960 RedQX1 iteration 18 Try 1 RMS(Cart)= 0.00000032 RMS(Int)= 3.38719169 XScale= 0.99899993 RedQX1 iteration 19 Try 1 RMS(Cart)= 0.00000006 RMS(Int)= 3.38719150 XScale= 0.99899999 RedQX1 iteration 20 Try 1 RMS(Cart)= 0.00000001 RMS(Int)= 3.38719146 XScale= 0.99900001 Iteration 1 RMS(Cart)= 0.23016619 RMS(Int)= 3.10794546 Iteration 2 RMS(Cart)= 0.01920745 RMS(Int)= 3.10271639 Iteration 3 RMS(Cart)= 0.01908834 RMS(Int)= 3.09756466 Iteration 4 RMS(Cart)= 0.01910580 RMS(Int)= 3.09244856 Iteration 5 RMS(Cart)= 0.01920275 RMS(Int)= 3.08734214 Iteration 6 RMS(Cart)= 0.01936984 RMS(Int)= 3.08222451 Iteration 7 RMS(Cart)= 0.01958341 RMS(Int)= 3.07708048 Iteration 8 RMS(Cart)= 0.01983212 RMS(Int)= 3.07189360 Iteration 9 RMS(Cart)= 0.02011096 RMS(Int)= 3.06662462 Iteration 10 RMS(Cart)= 0.02043368 RMS(Int)= 3.03203338 Iteration 11 RMS(Cart)= 0.29185854 RMS(Int)= 2.97309740 Iteration 12 RMS(Cart)= 0.06725544 RMS(Int)= 2.95821697 Iteration 13 RMS(Cart)= 0.04493005 RMS(Int)= 2.94802466 Iteration 14 RMS(Cart)= 0.03476052 RMS(Int)= 2.93997648 Iteration 15 RMS(Cart)= 0.02955123 RMS(Int)= 2.93304065 Iteration 16 RMS(Cart)= 0.02655533 RMS(Int)= 2.92674497 Iteration 17 RMS(Cart)= 0.02468038 RMS(Int)= 2.92084735 Iteration 18 RMS(Cart)= 0.02340806 RMS(Int)= 2.91521755 Iteration 19 RMS(Cart)= 0.02248696 RMS(Int)= 2.90978014 Iteration 20 RMS(Cart)= 0.02178710 RMS(Int)= 2.90448807 Iteration 21 RMS(Cart)= 0.02123586 RMS(Int)= 2.89931010 Iteration 22 RMS(Cart)= 0.02079001 RMS(Int)= 2.89422433 Iteration 23 RMS(Cart)= 0.01313077 RMS(Int)= 2.89099709 Iteration 24 RMS(Cart)= 0.01302523 RMS(Int)= 2.88779097 Iteration 25 RMS(Cart)= 0.01292862 RMS(Int)= 2.88460429 Iteration 26 RMS(Cart)= 0.01283994 RMS(Int)= 2.88143556 Iteration 27 RMS(Cart)= 0.01275856 RMS(Int)= 2.87828336 Iteration 28 RMS(Cart)= 0.00546465 RMS(Int)= 2.87692969 Iteration 29 RMS(Cart)= 0.00544773 RMS(Int)= 2.87557969 Iteration 30 RMS(Cart)= 0.00543099 RMS(Int)= 2.87423335 Iteration 31 RMS(Cart)= 0.00541429 RMS(Int)= 2.87289068 Iteration 32 RMS(Cart)= 0.00539773 RMS(Int)= 2.87155166 Iteration 33 RMS(Cart)= 0.00538126 RMS(Int)= 2.87021630 Iteration 34 RMS(Cart)= 0.00536500 RMS(Int)= 2.86888454 Iteration 35 RMS(Cart)= 0.00534884 RMS(Int)= 2.86755639 Iteration 36 RMS(Cart)= 0.00533285 RMS(Int)= 2.86623180 Iteration 37 RMS(Cart)= 0.00531702 RMS(Int)= 2.86491073 Iteration 38 RMS(Cart)= 0.00530141 RMS(Int)= 2.86359313 Iteration 39 RMS(Cart)= 0.00528599 RMS(Int)= 2.86227892 Iteration 40 RMS(Cart)= 0.00527081 RMS(Int)= 2.86096803 Iteration 41 RMS(Cart)= 0.00525579 RMS(Int)= 2.85966034 Iteration 42 RMS(Cart)= 0.00524113 RMS(Int)= 2.85835564 Iteration 43 RMS(Cart)= 0.00522658 RMS(Int)= 2.85705371 Iteration 44 RMS(Cart)= 0.00521235 RMS(Int)= 2.85575394 Iteration 45 RMS(Cart)= 0.00519877 RMS(Int)= 2.85445473 Iteration 46 RMS(Cart)= 0.00518662 RMS(Int)= 2.85314682 Iteration 47 RMS(Cart)= 0.00517247 RMS(Int)= 2.84644963 Iteration 48 RMS(Cart)= 0.03094049 RMS(Int)= 2.83858188 Iteration 49 RMS(Cart)= 0.03035573 RMS(Int)= 2.83079431 Iteration 50 RMS(Cart)= 0.02980947 RMS(Int)= 2.81368254 Iteration 51 RMS(Cart)= 0.16354009 RMS(Int)= 2.77365532 Iteration 52 RMS(Cart)= 0.01961243 RMS(Int)= 2.76844088 Iteration 53 RMS(Cart)= 0.01995878 RMS(Int)= 2.76311345 Iteration 54 RMS(Cart)= 0.02036858 RMS(Int)= 2.75765572 Iteration 55 RMS(Cart)= 0.02081464 RMS(Int)= 2.75205855 Iteration 56 RMS(Cart)= 0.02117217 RMS(Int)= 2.74634932 Iteration 57 RMS(Cart)= 0.02115512 RMS(Int)= 2.74064478 Iteration 58 RMS(Cart)= 0.02040323 RMS(Int)= 2.73524994 Iteration 59 RMS(Cart)= 0.01826636 RMS(Int)= 2.74888742 Iteration 60 RMS(Cart)= 0.02255817 RMS(Int)= 2.74246200 Iteration 61 RMS(Cart)= 0.02165299 RMS(Int)= 2.73609288 Iteration 62 RMS(Cart)= 0.02082157 RMS(Int)= 2.72980827 Iteration 63 RMS(Cart)= 0.02009886 RMS(Int)= 2.72360037 Iteration 64 RMS(Cart)= 0.01947393 RMS(Int)= 2.71745498 Iteration 65 RMS(Cart)= 0.01892339 RMS(Int)= 2.71136030 Iteration 66 RMS(Cart)= 0.01842157 RMS(Int)= 2.70530989 Iteration 67 RMS(Cart)= 0.01794002 RMS(Int)= 2.69930499 Iteration 68 RMS(Cart)= 0.01744088 RMS(Int)= 2.69335881 Iteration 69 RMS(Cart)= 0.01686845 RMS(Int)= 2.68750168 Iteration 70 RMS(Cart)= 0.01609816 RMS(Int)= 2.68179844 Iteration 71 RMS(Cart)= 0.01504474 RMS(Int)= 2.67635940 Iteration 72 RMS(Cart)= 0.01353105 RMS(Int)= 2.67137369 Iteration 73 RMS(Cart)= 0.01165018 RMS(Int)= 2.66700669 Iteration 74 RMS(Cart)= 0.00728384 RMS(Int)= 2.66423360 Iteration 75 RMS(Cart)= 0.00652274 RMS(Int)= 2.66172783 Iteration 76 RMS(Cart)= 0.00577957 RMS(Int)= 2.65948960 Iteration 77 RMS(Cart)= 0.00511644 RMS(Int)= 2.65749402 Iteration 78 RMS(Cart)= 0.00488379 RMS(Int)= 2.65557682 Iteration 79 RMS(Cart)= 0.00483145 RMS(Int)= 2.65366813 Iteration 80 RMS(Cart)= 0.00478007 RMS(Int)= 2.65176779 Iteration 81 RMS(Cart)= 0.00472949 RMS(Int)= 2.64987563 Iteration 82 RMS(Cart)= 0.00467969 RMS(Int)= 2.64799136 Iteration 83 RMS(Cart)= 0.00463059 RMS(Int)= 2.64611436 Iteration 84 RMS(Cart)= 0.00458221 RMS(Int)= 2.64424305 Iteration 85 RMS(Cart)= 0.00453469 RMS(Int)= 2.64236902 Iteration 86 RMS(Cart)= 0.00448894 RMS(Int)= 2.61641510 Iteration 87 RMS(Cart)= 0.00939838 RMS(Int)= 2.61243956 Iteration 88 RMS(Cart)= 0.00926008 RMS(Int)= 2.60847086 Iteration 89 RMS(Cart)= 0.00913102 RMS(Int)= 2.60450674 Iteration 90 RMS(Cart)= 0.00900760 RMS(Int)= 2.60049333 Iteration 91 RMS(Cart)= 0.01164609 RMS(Int)= 2.59510159 Iteration 92 RMS(Cart)= 0.01131264 RMS(Int)= 2.58979008 Iteration 93 RMS(Cart)= 0.01097983 RMS(Int)= 2.58456411 Iteration 94 RMS(Cart)= 0.01065546 RMS(Int)= 2.57942520 Iteration 95 RMS(Cart)= 0.01035190 RMS(Int)= 2.57436857 Iteration 96 RMS(Cart)= 0.01006886 RMS(Int)= 2.56938909 Iteration 97 RMS(Cart)= 0.00979789 RMS(Int)= 2.56448518 Iteration 98 RMS(Cart)= 0.00953736 RMS(Int)= 2.55965593 Iteration 99 RMS(Cart)= 0.00928513 RMS(Int)= 2.55490104 Iteration100 RMS(Cart)= 0.00905098 RMS(Int)= 2.55021502 New curvilinear step not converged. FormGI is forming the generalized inverse of G from B-inverse, IUseBI=4. RedQX1 iteration 1 Try 1 RMS(Cart)= 0.65302550 RMS(Int)= 2.71548655 XScale= 5.85891112 RedQX1 iteration 1 Try 2 RMS(Cart)= 0.65495156 RMS(Int)= 2.36830502 XScale= 3.04024096 RedQX1 iteration 1 Try 3 RMS(Cart)= 0.69810554 RMS(Int)= 2.31653180 XScale= 1.95036226 RedQX1 iteration 1 Try 4 RMS(Cart)= 0.94820947 RMS(Int)= 2.58287513 XScale= 1.53762830 RedQX1 iteration 1 Try 5 RMS(Cart)= 2.75350327 RMS(Int)= 4.73241860 XScale= 1.17410509 RedQX1 iteration 1 Try 6 RMS(Cart)= 5.51269013 RMS(Int)= 9.10221685 XScale= 0.46789006 RedQX1 iteration 2 Try 1 RMS(Cart)= 1.10253803 RMS(Int)= 5.49987004 XScale= 0.94759145 RedQX1 iteration 3 Try 1 RMS(Cart)= 0.22050761 RMS(Int)= 4.86377370 XScale= 1.12666599 RedQX1 iteration 3 Try 2 RMS(Cart)= 0.23750927 RMS(Int)= 5.01509114 XScale= 1.07599799 RedQX1 iteration 3 Try 3 RMS(Cart)= 0.25658304 RMS(Int)= 5.18654651 XScale= 1.02322935 RedQX1 iteration 3 Try 4 RMS(Cart)= 0.27808703 RMS(Int)= 5.37921279 XScale= 0.96908224 RedQX1 iteration 4 Try 1 RMS(Cart)= 0.24471659 RMS(Int)= 5.35574912 XScale= 0.97540906 RedQX1 iteration 5 Try 1 RMS(Cart)= 0.04894332 RMS(Int)= 5.21996411 XScale= 1.01346987 RedQX1 iteration 5 Try 2 RMS(Cart)= 0.04967011 RMS(Int)= 5.25408637 XScale= 1.00366890 RedQX1 iteration 5 Try 3 RMS(Cart)= 0.05041389 RMS(Int)= 5.28892456 XScale= 0.99382982 RedQX1 iteration 6 Try 1 RMS(Cart)= 0.04960727 RMS(Int)= 5.28836544 XScale= 0.99398642 RedQX1 iteration 7 Try 1 RMS(Cart)= 0.00992145 RMS(Int)= 5.26092521 XScale= 1.00172431 RedQX1 iteration 7 Try 2 RMS(Cart)= 0.00995074 RMS(Int)= 5.26779217 XScale= 0.99977825 RedQX1 iteration 7 Try 3 RMS(Cart)= 0.00998016 RMS(Int)= 5.27468734 XScale= 0.99783075 RedQX1 iteration 8 Try 1 RMS(Cart)= 0.00994822 RMS(Int)= 5.27466526 XScale= 0.99783697 RedQX1 iteration 9 Try 1 RMS(Cart)= 0.00198964 RMS(Int)= 5.26916611 XScale= 0.99938967 RedQX1 iteration 9 Try 2 RMS(Cart)= 0.00199082 RMS(Int)= 5.27054117 XScale= 0.99900103 RedQX1 iteration 9 Try 3 RMS(Cart)= 0.00199199 RMS(Int)= 5.27191736 XScale= 0.99861233 RedQX1 iteration 10 Try 1 RMS(Cart)= 0.00199072 RMS(Int)= 5.27191648 XScale= 0.99861258 RedQX1 iteration 11 Try 1 RMS(Cart)= 0.00039814 RMS(Int)= 5.27081621 XScale= 0.99892333 RedQX1 iteration 12 Try 1 RMS(Cart)= 0.00007963 RMS(Int)= 5.27059618 XScale= 0.99898549 RedQX1 iteration 13 Try 1 RMS(Cart)= 0.00001593 RMS(Int)= 5.27055217 XScale= 0.99899792 RedQX1 iteration 14 Try 1 RMS(Cart)= 0.00000319 RMS(Int)= 5.27054337 XScale= 0.99900041 RedQX1 iteration 14 Try 2 RMS(Cart)= 0.00000319 RMS(Int)= 5.27054557 XScale= 0.99899979 RedQX1 iteration 15 Try 1 RMS(Cart)= 0.00000319 RMS(Int)= 5.27054557 XScale= 0.99899979 RedQX1 iteration 16 Try 1 RMS(Cart)= 0.00000064 RMS(Int)= 5.27054381 XScale= 0.99900028 RedQX1 iteration 16 Try 2 RMS(Cart)= 0.00000064 RMS(Int)= 5.27054425 XScale= 0.99900016 RedQX1 iteration 16 Try 3 RMS(Cart)= 0.00000064 RMS(Int)= 5.27054469 XScale= 0.99900003 RedQX1 iteration 16 Try 4 RMS(Cart)= 0.00000064 RMS(Int)= 5.27054513 XScale= 0.99899991 RedQX1 iteration 17 Try 1 RMS(Cart)= 0.00000064 RMS(Int)= 5.27054513 XScale= 0.99899991 RedQX1 iteration 18 Try 1 RMS(Cart)= 0.00000013 RMS(Int)= 5.27054478 XScale= 0.99900001 RedQX1 iteration 18 Try 2 RMS(Cart)= 0.00000013 RMS(Int)= 5.27054487 XScale= 0.99899998 RedQX1 iteration 19 Try 1 RMS(Cart)= 0.00000013 RMS(Int)= 5.27054487 XScale= 0.99899998 RedQX1 iteration 20 Try 1 RMS(Cart)= 0.00000003 RMS(Int)= 5.27054480 XScale= 0.99900000 Iteration 1 RMS(Cart)= 0.49607712 RMS(Int)= 5.06055509 Iteration 2 RMS(Cart)= 0.40815058 RMS(Int)= 5.01803189 Iteration 3 RMS(Cart)= 0.45041301 RMS(Int)= 4.96834609 Iteration 4 RMS(Cart)= 0.47681572 RMS(Int)= 4.91053319 Iteration 5 RMS(Cart)= 0.01743415 RMS(Int)= 4.90707858 Iteration 6 RMS(Cart)= 0.01732014 RMS(Int)= 4.90361437 Iteration 7 RMS(Cart)= 0.01719685 RMS(Int)= 4.90014196 Iteration 8 RMS(Cart)= 0.01706503 RMS(Int)= 4.89666263 Iteration 9 RMS(Cart)= 0.01692532 RMS(Int)= 4.89317766 Iteration 10 RMS(Cart)= 0.01677832 RMS(Int)= 4.88968827 Iteration 11 RMS(Cart)= 0.01662448 RMS(Int)= 4.88619575 Iteration 12 RMS(Cart)= 0.01646403 RMS(Int)= 4.88270160 Iteration 13 RMS(Cart)= 0.01629586 RMS(Int)= 4.87921607 Iteration 14 RMS(Cart)= 0.01606153 RMS(Int)= 4.88468299 Iteration 15 RMS(Cart)= 0.34062188 RMS(Int)= 4.81963549 Iteration 16 RMS(Cart)= 0.26526503 RMS(Int)= 4.74605621 Iteration 17 RMS(Cart)= 0.24887828 RMS(Int)= 4.67305342 Iteration 18 RMS(Cart)= 0.26612590 RMS(Int)= 4.60475015 Iteration 19 RMS(Cart)= 0.23426277 RMS(Int)= 4.54347733 Iteration 20 RMS(Cart)= 0.00685538 RMS(Int)= 4.54094060 Iteration 21 RMS(Cart)= 0.00671272 RMS(Int)= 4.53843443 Iteration 22 RMS(Cart)= 0.00657874 RMS(Int)= 4.53595656 Iteration 23 RMS(Cart)= 0.00645654 RMS(Int)= 4.53350422 Iteration 24 RMS(Cart)= 0.00634552 RMS(Int)= 4.53107463 Iteration 25 RMS(Cart)= 0.00624533 RMS(Int)= 4.52866502 Iteration 26 RMS(Cart)= 0.00615576 RMS(Int)= 4.52627252 Iteration 27 RMS(Cart)= 0.00607669 RMS(Int)= 4.52389418 Iteration 28 RMS(Cart)= 0.00600824 RMS(Int)= 4.52152683 Iteration 29 RMS(Cart)= 0.00595074 RMS(Int)= 4.51916709 Iteration 30 RMS(Cart)= 0.00590468 RMS(Int)= 4.51681123 Iteration 31 RMS(Cart)= 0.00587079 RMS(Int)= 4.51445511 Iteration 32 RMS(Cart)= 0.00585013 RMS(Int)= 4.51209405 Iteration 33 RMS(Cart)= 0.00584381 RMS(Int)= 4.50972282 Iteration 34 RMS(Cart)= 0.00585282 RMS(Int)= 4.50733564 Iteration 35 RMS(Cart)= 0.00587713 RMS(Int)= 4.50492666 Iteration 36 RMS(Cart)= 0.00587491 RMS(Int)= 4.50250723 Iteration 37 RMS(Cart)= 0.00585581 RMS(Int)= 4.50008490 Iteration 38 RMS(Cart)= 0.00577581 RMS(Int)= 4.49768282 Iteration 39 RMS(Cart)= 0.00569299 RMS(Int)= 4.49530295 Iteration 40 RMS(Cart)= 0.00560783 RMS(Int)= 4.49294868 Iteration 41 RMS(Cart)= 0.00552619 RMS(Int)= 4.49061984 Iteration 42 RMS(Cart)= 0.00544393 RMS(Int)= 4.50764806 Iteration 43 RMS(Cart)= 0.03066370 RMS(Int)= 4.49329573 Iteration 44 RMS(Cart)= 0.02189188 RMS(Int)= 4.48250458 Iteration 45 RMS(Cart)= 0.05254760 RMS(Int)= 4.45635887 Iteration 46 RMS(Cart)= 0.07699660 RMS(Int)= 4.41641313 Iteration 47 RMS(Cart)= 0.00070511 RMS(Int)= 4.41603529 Iteration 48 RMS(Cart)= 0.00070293 RMS(Int)= 4.41565868 Iteration 49 RMS(Cart)= 0.00070077 RMS(Int)= 4.41528330 Iteration 50 RMS(Cart)= 0.00069867 RMS(Int)= 4.41490912 Iteration 51 RMS(Cart)= 0.00069660 RMS(Int)= 4.41453613 Iteration 52 RMS(Cart)= 0.00069457 RMS(Int)= 4.41416430 Iteration 53 RMS(Cart)= 0.00069257 RMS(Int)= 4.41379362 Iteration 54 RMS(Cart)= 0.00069062 RMS(Int)= 4.41342408 Iteration 55 RMS(Cart)= 0.00068869 RMS(Int)= 4.41305565 Iteration 56 RMS(Cart)= 0.00068681 RMS(Int)= 4.41268833 Iteration 57 RMS(Cart)= 0.00068496 RMS(Int)= 4.41232209 Iteration 58 RMS(Cart)= 0.00068314 RMS(Int)= 4.41195692 Iteration 59 RMS(Cart)= 0.00068135 RMS(Int)= 4.41159281 Iteration 60 RMS(Cart)= 0.00067959 RMS(Int)= 4.41122974 Iteration 61 RMS(Cart)= 0.00067787 RMS(Int)= 4.41086770 Iteration 62 RMS(Cart)= 0.00067617 RMS(Int)= 4.41050667 Iteration 63 RMS(Cart)= 0.00067451 RMS(Int)= 4.41014665 Iteration 64 RMS(Cart)= 0.00067287 RMS(Int)= 4.40978761 Iteration 65 RMS(Cart)= 0.00067126 RMS(Int)= 4.40942954 Iteration 66 RMS(Cart)= 0.00066968 RMS(Int)= 4.40907244 Iteration 67 RMS(Cart)= 0.00066812 RMS(Int)= 4.40871629 Iteration 68 RMS(Cart)= 0.00066659 RMS(Int)= 4.40836107 Iteration 69 RMS(Cart)= 0.00066509 RMS(Int)= 4.40800678 Iteration 70 RMS(Cart)= 0.00066361 RMS(Int)= 4.40765340 Iteration 71 RMS(Cart)= 0.00066216 RMS(Int)= 4.40730093 Iteration 72 RMS(Cart)= 0.00066073 RMS(Int)= 4.40694935 Iteration 73 RMS(Cart)= 0.00065932 RMS(Int)= 4.40659864 Iteration 74 RMS(Cart)= 0.00065793 RMS(Int)= 4.40624881 Iteration 75 RMS(Cart)= 0.00065657 RMS(Int)= 4.40589983 Iteration 76 RMS(Cart)= 0.00065523 RMS(Int)= 4.40555171 Iteration 77 RMS(Cart)= 0.00065391 RMS(Int)= 4.40520442 Iteration 78 RMS(Cart)= 0.00065261 RMS(Int)= 4.40485796 Iteration 79 RMS(Cart)= 0.00065133 RMS(Int)= 4.40451232 Iteration 80 RMS(Cart)= 0.00065007 RMS(Int)= 4.40416749 Iteration 81 RMS(Cart)= 0.00064882 RMS(Int)= 4.40382346 Iteration 82 RMS(Cart)= 0.00064760 RMS(Int)= 4.40348022 Iteration 83 RMS(Cart)= 0.00064640 RMS(Int)= 4.40313777 Iteration 84 RMS(Cart)= 0.00064521 RMS(Int)= 4.40279608 Iteration 85 RMS(Cart)= 0.00064404 RMS(Int)= 4.40245517 Iteration 86 RMS(Cart)= 0.00064289 RMS(Int)= 4.40211501 Iteration 87 RMS(Cart)= 0.00064176 RMS(Int)= 4.40177559 Iteration 88 RMS(Cart)= 0.00064064 RMS(Int)= 4.40143692 Iteration 89 RMS(Cart)= 0.00063953 RMS(Int)= 4.40109898 Iteration 90 RMS(Cart)= 0.00063845 RMS(Int)= 4.40076176 Iteration 91 RMS(Cart)= 0.00063738 RMS(Int)= 4.40042526 Iteration 92 RMS(Cart)= 0.00063632 RMS(Int)= 4.40008946 Iteration 93 RMS(Cart)= 0.00063528 RMS(Int)= 4.39975437 Iteration 94 RMS(Cart)= 0.00063426 RMS(Int)= 4.39941997 Iteration 95 RMS(Cart)= 0.00063325 RMS(Int)= 4.39908626 Iteration 96 RMS(Cart)= 0.00063225 RMS(Int)= 4.39875322 Iteration 97 RMS(Cart)= 0.00063127 RMS(Int)= 4.39842086 Iteration 98 RMS(Cart)= 0.00063031 RMS(Int)= 4.39808916 Iteration 99 RMS(Cart)= 0.00062936 RMS(Int)= 4.39775812 Iteration100 RMS(Cart)= 0.00062842 RMS(Int)= 4.39742773 New curvilinear step not converged. FormGI is forming the generalized inverse of G from B-inverse, IUseBI=4. RedQX1 iteration 1 Try 1 RMS(Cart)= 1.47172309 RMS(Int)= 4.27360606 XScale= 5.73732653 RedQX1 iteration 1 Try 2 RMS(Cart)= 1.47399855 RMS(Int)= 3.83928931 XScale= 3.20901104 RedQX1 iteration 1 Try 3 RMS(Cart)= 1.60324861 RMS(Int)= 3.98024828 XScale= 2.44317364 RedQX1 iteration 1 Try 4 RMS(Cart)= 2.24629977 RMS(Int)= 4.55512185 XScale= 2.09426397 RedQX1 iteration 1 Try 5 RMS(Cart)= 5.07206869 RMS(Int)= 7.92793949 XScale= 1.13631191 RedQX1 iteration 1 Try 6 RMS(Cart)= 8.88842956 RMS(Int)= 15.77212512 XScale= 0.42941601 RedQX1 iteration 2 Try 1 RMS(Cart)= 1.77768591 RMS(Int)= 9.37003404 XScale= 0.88665093 RedQX1 iteration 3 Try 1 RMS(Cart)= 0.35553718 RMS(Int)= 8.20683945 XScale= 1.07961762 RedQX1 iteration 3 Try 2 RMS(Cart)= 0.38260700 RMS(Int)= 8.51310510 XScale= 1.02249556 RedQX1 iteration 3 Try 3 RMS(Cart)= 0.41328033 RMS(Int)= 8.84978735 XScale= 0.96535658 RedQX1 iteration 4 Try 1 RMS(Cart)= 0.38021790 RMS(Int)= 8.82264959 XScale= 0.96976136 RedQX1 iteration 5 Try 1 RMS(Cart)= 0.07604358 RMS(Int)= 8.57462622 XScale= 1.01163946 RedQX1 iteration 5 Try 2 RMS(Cart)= 0.07717987 RMS(Int)= 8.63725679 XScale= 1.00078651 RedQX1 iteration 5 Try 3 RMS(Cart)= 0.07834379 RMS(Int)= 8.70101953 XScale= 0.98993920 RedQX1 iteration 6 Try 1 RMS(Cart)= 0.07709029 RMS(Int)= 8.69999774 XScale= 0.99011148 RedQX1 iteration 7 Try 1 RMS(Cart)= 0.01541806 RMS(Int)= 8.64978936 XScale= 0.99863886 RedQX1 iteration 8 Try 1 RMS(Cart)= 0.00308361 RMS(Int)= 8.63976268 XScale= 1.00035648 RedQX1 iteration 8 Try 2 RMS(Cart)= 0.00308544 RMS(Int)= 8.64227034 XScale= 0.99992645 RedQX1 iteration 8 Try 3 RMS(Cart)= 0.00308728 RMS(Int)= 8.64477978 XScale= 0.99949643 RedQX1 iteration 8 Try 4 RMS(Cart)= 0.00308911 RMS(Int)= 8.64729100 XScale= 0.99906642 RedQX1 iteration 8 Try 5 RMS(Cart)= 0.00309095 RMS(Int)= 8.64980401 XScale= 0.99863642 RedQX1 iteration 9 Try 1 RMS(Cart)= 0.00308699 RMS(Int)= 8.64980079 XScale= 0.99863697 RedQX1 iteration 10 Try 1 RMS(Cart)= 0.00061740 RMS(Int)= 8.64779293 XScale= 0.99898051 RedQX1 iteration 11 Try 1 RMS(Cart)= 0.00012348 RMS(Int)= 8.64739139 XScale= 0.99904923 RedQX1 iteration 11 Try 2 RMS(Cart)= 0.00012348 RMS(Int)= 8.64749178 XScale= 0.99903205 RedQX1 iteration 11 Try 3 RMS(Cart)= 0.00012349 RMS(Int)= 8.64759217 XScale= 0.99901487 RedQX1 iteration 11 Try 4 RMS(Cart)= 0.00012349 RMS(Int)= 8.64769256 XScale= 0.99899769 RedQX1 iteration 12 Try 1 RMS(Cart)= 0.00012348 RMS(Int)= 8.64769256 XScale= 0.99899769 RedQX1 iteration 13 Try 1 RMS(Cart)= 0.00002470 RMS(Int)= 8.64761224 XScale= 0.99901143 RedQX1 iteration 13 Try 2 RMS(Cart)= 0.00002470 RMS(Int)= 8.64763232 XScale= 0.99900800 RedQX1 iteration 13 Try 3 RMS(Cart)= 0.00002470 RMS(Int)= 8.64765240 XScale= 0.99900456 RedQX1 iteration 13 Try 4 RMS(Cart)= 0.00002470 RMS(Int)= 8.64767248 XScale= 0.99900112 RedQX1 iteration 13 Try 5 RMS(Cart)= 0.00002470 RMS(Int)= 8.64769256 XScale= 0.99899769 RedQX1 iteration 14 Try 1 RMS(Cart)= 0.00002470 RMS(Int)= 8.64769256 XScale= 0.99899769 RedQX1 iteration 15 Try 1 RMS(Cart)= 0.00000494 RMS(Int)= 8.64767649 XScale= 0.99900044 RedQX1 iteration 15 Try 2 RMS(Cart)= 0.00000494 RMS(Int)= 8.64768051 XScale= 0.99899975 RedQX1 iteration 16 Try 1 RMS(Cart)= 0.00000494 RMS(Int)= 8.64768051 XScale= 0.99899975 RedQX1 iteration 17 Try 1 RMS(Cart)= 0.00000099 RMS(Int)= 8.64767730 XScale= 0.99900030 RedQX1 iteration 17 Try 2 RMS(Cart)= 0.00000099 RMS(Int)= 8.64767810 XScale= 0.99900016 RedQX1 iteration 17 Try 3 RMS(Cart)= 0.00000099 RMS(Int)= 8.64767890 XScale= 0.99900002 RedQX1 iteration 17 Try 4 RMS(Cart)= 0.00000099 RMS(Int)= 8.64767971 XScale= 0.99899989 RedQX1 iteration 18 Try 1 RMS(Cart)= 0.00000099 RMS(Int)= 8.64767971 XScale= 0.99899989 RedQX1 iteration 19 Try 1 RMS(Cart)= 0.00000020 RMS(Int)= 8.64767906 XScale= 0.99900000 RedQX1 iteration 20 Try 1 RMS(Cart)= 0.00000004 RMS(Int)= 8.64767894 XScale= 0.99900002 Iteration 1 RMS(Cart)= 1.00827330 RMS(Int)= 8.52473203 Iteration 2 RMS(Cart)= 0.06816692 RMS(Int)= 8.52227523 Iteration 3 RMS(Cart)= 1.00019718 RMS(Int)= 8.49081909 Iteration 4 RMS(Cart)= 0.51146532 RMS(Int)= 8.46315307 Iteration 5 RMS(Cart)= 0.16921068 RMS(Int)= 8.45125919 Iteration 6 RMS(Cart)= 0.15311513 RMS(Int)= 8.44032199 Iteration 7 RMS(Cart)= 0.14388049 RMS(Int)= 8.42995220 Iteration 8 RMS(Cart)= 0.13772288 RMS(Int)= 8.41997541 Iteration 9 RMS(Cart)= 0.13328191 RMS(Int)= 8.41029029 Iteration 10 RMS(Cart)= 0.00496819 RMS(Int)= 8.40990052 Iteration 11 RMS(Cart)= 0.00500909 RMS(Int)= 8.40950759 Iteration 12 RMS(Cart)= 0.00505027 RMS(Int)= 8.40911149 Iteration 13 RMS(Cart)= 0.00509173 RMS(Int)= 8.40871220 Iteration 14 RMS(Cart)= 0.00513352 RMS(Int)= 8.40830970 Iteration 15 RMS(Cart)= 0.00517562 RMS(Int)= 8.40790396 Iteration 16 RMS(Cart)= 0.00521805 RMS(Int)= 8.40749495 Iteration 17 RMS(Cart)= 0.00526079 RMS(Int)= 8.40708266 Iteration 18 RMS(Cart)= 0.00530373 RMS(Int)= 8.40666708 Iteration 19 RMS(Cart)= 0.00534715 RMS(Int)= 8.40624817 Iteration 20 RMS(Cart)= 0.00539088 RMS(Int)= 8.40582590 Iteration 21 RMS(Cart)= 0.00543488 RMS(Int)= 8.40540025 Iteration 22 RMS(Cart)= 0.00547910 RMS(Int)= 8.40497123 Iteration 23 RMS(Cart)= 0.00552387 RMS(Int)= 8.40453877 Iteration 24 RMS(Cart)= 0.00556891 RMS(Int)= 8.40410286 Iteration 25 RMS(Cart)= 0.00561057 RMS(Int)= 8.40366375 Iteration 26 RMS(Cart)= 0.00564377 RMS(Int)= 8.40322201 Iteration 27 RMS(Cart)= 0.00567738 RMS(Int)= 8.40277762 Iteration 28 RMS(Cart)= 0.00571112 RMS(Int)= 8.40233056 Iteration 29 RMS(Cart)= 0.00574512 RMS(Int)= 8.40188081 Iteration 30 RMS(Cart)= 0.00577939 RMS(Int)= 8.40142836 Iteration 31 RMS(Cart)= 0.00581399 RMS(Int)= 8.40097317 Iteration 32 RMS(Cart)= 0.00584872 RMS(Int)= 8.40051524 Iteration 33 RMS(Cart)= 0.00588377 RMS(Int)= 8.40005454 Iteration 34 RMS(Cart)= 0.00591909 RMS(Int)= 8.39959106 Iteration 35 RMS(Cart)= 0.00595468 RMS(Int)= 8.39912476 Iteration 36 RMS(Cart)= 0.00599058 RMS(Int)= 8.39865563 Iteration 37 RMS(Cart)= 0.00602673 RMS(Int)= 8.39818364 Iteration 38 RMS(Cart)= 0.00606312 RMS(Int)= 8.39770877 Iteration 39 RMS(Cart)= 0.00609982 RMS(Int)= 8.39723101 Iteration 40 RMS(Cart)= 0.00613688 RMS(Int)= 8.39675031 Iteration 41 RMS(Cart)= 0.00617409 RMS(Int)= 8.39626667 Iteration 42 RMS(Cart)= 0.00621167 RMS(Int)= 8.39578004 Iteration 43 RMS(Cart)= 0.00624954 RMS(Int)= 8.39529041 Iteration 44 RMS(Cart)= 0.00628773 RMS(Int)= 8.39479773 Iteration 45 RMS(Cart)= 0.00632621 RMS(Int)= 8.39430198 Iteration 46 RMS(Cart)= 0.00636499 RMS(Int)= 8.39380312 Iteration 47 RMS(Cart)= 0.00640413 RMS(Int)= 8.39330108 Iteration 48 RMS(Cart)= 0.00644359 RMS(Int)= 8.39279581 Iteration 49 RMS(Cart)= 0.00648332 RMS(Int)= 8.39228720 Iteration 50 RMS(Cart)= 0.00651959 RMS(Int)= 8.39177540 Iteration 51 RMS(Cart)= 0.00654443 RMS(Int)= 8.39126099 Iteration 52 RMS(Cart)= 0.00656986 RMS(Int)= 8.39074256 Iteration 53 RMS(Cart)= 0.00659386 RMS(Int)= 8.39016318 Iteration 54 RMS(Cart)= 0.00662035 RMS(Int)= 8.38746556 Iteration 55 RMS(Cart)= 0.86844103 RMS(Int)= 8.35933906 Iteration 56 RMS(Cart)= 0.83544234 RMS(Int)= 8.33701215 Iteration 57 RMS(Cart)= 0.80619785 RMS(Int)= 8.31835288 Iteration 58 RMS(Cart)= 0.65806292 RMS(Int)= 8.29555806 Iteration 59 RMS(Cart)= 0.02883636 RMS(Int)= 8.29333724 Iteration 60 RMS(Cart)= 0.02877922 RMS(Int)= 8.29111979 Iteration 61 RMS(Cart)= 0.02872774 RMS(Int)= 8.28890528 Iteration 62 RMS(Cart)= 0.02868172 RMS(Int)= 8.28669331 Iteration 63 RMS(Cart)= 0.02864106 RMS(Int)= 8.28448348 Iteration 64 RMS(Cart)= 0.02860560 RMS(Int)= 8.28227541 Iteration 65 RMS(Cart)= 0.02857518 RMS(Int)= 8.28006870 Iteration 66 RMS(Cart)= 0.02854975 RMS(Int)= 8.27786298 Iteration 67 RMS(Cart)= 0.02852919 RMS(Int)= 8.27565787 Iteration 68 RMS(Cart)= 0.02851345 RMS(Int)= 8.27345299 Iteration 69 RMS(Cart)= 0.02850245 RMS(Int)= 8.27124798 Iteration 70 RMS(Cart)= 0.02849612 RMS(Int)= 8.26904247 Iteration 71 RMS(Cart)= 0.02849442 RMS(Int)= 8.26683608 Iteration 72 RMS(Cart)= 0.02849733 RMS(Int)= 8.26462846 Iteration 73 RMS(Cart)= 0.02850421 RMS(Int)= 8.26241931 Iteration 74 RMS(Cart)= 0.02851352 RMS(Int)= 8.26020854 Iteration 75 RMS(Cart)= 0.02852763 RMS(Int)= 8.25799577 Iteration 76 RMS(Cart)= 0.02854643 RMS(Int)= 8.25578053 Iteration 77 RMS(Cart)= 0.02791019 RMS(Int)= 8.25361123 Iteration 78 RMS(Cart)= 0.02800314 RMS(Int)= 8.25811768 Iteration 79 RMS(Cart)= 0.59732755 RMS(Int)= 8.23437871 Iteration 80 RMS(Cart)= 0.62824792 RMS(Int)= 8.21009970 Iteration 81 RMS(Cart)= 0.56997626 RMS(Int)= 8.18425601 Iteration 82 RMS(Cart)= 0.12614385 RMS(Int)= 8.17459652 Iteration 83 RMS(Cart)= 0.10328931 RMS(Int)= 8.16651344 Iteration 84 RMS(Cart)= 0.08981952 RMS(Int)= 8.15938363 Iteration 85 RMS(Cart)= 0.08312803 RMS(Int)= 8.15272417 Iteration 86 RMS(Cart)= 0.08086303 RMS(Int)= 8.14620566 Iteration 87 RMS(Cart)= 0.07960814 RMS(Int)= 8.13974784 Iteration 88 RMS(Cart)= 0.07734784 RMS(Int)= 8.13342313 Iteration 89 RMS(Cart)= 0.07325120 RMS(Int)= 8.12738454 Iteration 90 RMS(Cart)= 0.07002165 RMS(Int)= 8.12158108 Iteration 91 RMS(Cart)= 0.06948583 RMS(Int)= 8.11579657 Iteration 92 RMS(Cart)= 0.06786211 RMS(Int)= 8.11006426 Iteration 93 RMS(Cart)= 0.06548563 RMS(Int)= 8.10439216 Iteration 94 RMS(Cart)= 0.06247688 RMS(Int)= 8.09881019 Iteration 95 RMS(Cart)= 0.05830528 RMS(Int)= 8.09341577 Iteration 96 RMS(Cart)= 0.05401114 RMS(Int)= 8.08823409 Iteration 97 RMS(Cart)= 0.04994166 RMS(Int)= 8.08326732 Iteration 98 RMS(Cart)= 0.04616714 RMS(Int)= 8.07851113 Iteration 99 RMS(Cart)= 0.04272252 RMS(Int)= 8.07395524 Iteration100 RMS(Cart)= 0.03961921 RMS(Int)= 8.06958549 New curvilinear step not converged. FormGI is forming the generalized inverse of G from B-inverse, IUseBI=4. RedQX1 iteration 1 Try 1 RMS(Cart)= 2.68932602 RMS(Int)= 7.08140111 XScale= 5.70755459 RedQX1 iteration 1 Try 2 RMS(Cart)= 2.68713240 RMS(Int)= 6.14335263 XScale= 3.31806306 RedQX1 iteration 1 Try 3 RMS(Cart)= 2.80518675 RMS(Int)= 5.85740456 XScale= 2.54363835 RedQX1 iteration 1 Try 4 RMS(Cart)= 3.79034041 RMS(Int)= 6.86049202 XScale= 2.05873741 RedQX1 iteration 1 Try 5 RMS(Cart)= 11.97024996 RMS(Int)= 13.80067334 XScale= 1.17141270 RedQX1 iteration 1 Try 6 RMS(Cart)= 18.58739969 RMS(Int)= 28.44470109 XScale= 0.40877912 RedQX1 iteration 2 Try 1 RMS(Cart)= 3.71747994 RMS(Int)= 16.43244008 XScale= 0.89902280 RedQX1 iteration 3 Try 1 RMS(Cart)= 0.74349599 RMS(Int)= 14.30344588 XScale= 1.11031368 RedQX1 iteration 3 Try 2 RMS(Cart)= 0.79180664 RMS(Int)= 14.85144459 XScale= 1.04904850 RedQX1 iteration 3 Try 3 RMS(Cart)= 0.84659642 RMS(Int)= 15.44994801 XScale= 0.98798488 RedQX1 iteration 4 Try 1 RMS(Cart)= 0.77886871 RMS(Int)= 15.40153119 XScale= 0.99271347 RedQX1 iteration 5 Try 1 RMS(Cart)= 0.15577374 RMS(Int)= 14.96044144 XScale= 1.03749600 RedQX1 iteration 5 Try 2 RMS(Cart)= 0.15779606 RMS(Int)= 15.07129310 XScale= 1.02595078 RedQX1 iteration 5 Try 3 RMS(Cart)= 0.15986758 RMS(Int)= 15.18404251 XScale= 1.01441526 RedQX1 iteration 5 Try 4 RMS(Cart)= 0.16198980 RMS(Int)= 15.29873423 XScale= 1.00289177 RedQX1 iteration 5 Try 5 RMS(Cart)= 0.16416428 RMS(Int)= 15.41541451 XScale= 0.99138263 RedQX1 iteration 6 Try 1 RMS(Cart)= 0.15891102 RMS(Int)= 15.41167232 XScale= 0.99174849 RedQX1 iteration 7 Try 1 RMS(Cart)= 0.03178220 RMS(Int)= 15.32128083 XScale= 1.00065133 RedQX1 iteration 7 Try 2 RMS(Cart)= 0.03186509 RMS(Int)= 15.34390320 XScale= 0.99841143 RedQX1 iteration 8 Try 1 RMS(Cart)= 0.03181410 RMS(Int)= 15.34386699 XScale= 0.99841501 RedQX1 iteration 9 Try 1 RMS(Cart)= 0.00636282 RMS(Int)= 15.32579641 XScale= 1.00020359 RedQX1 iteration 9 Try 2 RMS(Cart)= 0.00636614 RMS(Int)= 15.33031502 XScale= 0.99975588 RedQX1 iteration 9 Try 3 RMS(Cart)= 0.00636946 RMS(Int)= 15.33483667 XScale= 0.99930819 RedQX1 iteration 9 Try 4 RMS(Cart)= 0.00637278 RMS(Int)= 15.33936135 XScale= 0.99886052 RedQX1 iteration 10 Try 1 RMS(Cart)= 0.00636666 RMS(Int)= 15.33935701 XScale= 0.99886095 RedQX1 iteration 11 Try 1 RMS(Cart)= 0.00127333 RMS(Int)= 15.33574067 XScale= 0.99921872 RedQX1 iteration 11 Try 2 RMS(Cart)= 0.00127346 RMS(Int)= 15.33664479 XScale= 0.99912925 RedQX1 iteration 11 Try 3 RMS(Cart)= 0.00127360 RMS(Int)= 15.33754904 XScale= 0.99903979 RedQX1 iteration 11 Try 4 RMS(Cart)= 0.00127373 RMS(Int)= 15.33845340 XScale= 0.99895032 RedQX1 iteration 12 Try 1 RMS(Cart)= 0.00127349 RMS(Int)= 15.33845323 XScale= 0.99895034 RedQX1 iteration 13 Try 1 RMS(Cart)= 0.00025470 RMS(Int)= 15.33772987 XScale= 0.99902190 RedQX1 iteration 13 Try 2 RMS(Cart)= 0.00025470 RMS(Int)= 15.33791071 XScale= 0.99900401 RedQX1 iteration 13 Try 3 RMS(Cart)= 0.00025471 RMS(Int)= 15.33809156 XScale= 0.99898612 RedQX1 iteration 14 Try 1 RMS(Cart)= 0.00025470 RMS(Int)= 15.33809155 XScale= 0.99898612 RedQX1 iteration 15 Try 1 RMS(Cart)= 0.00005094 RMS(Int)= 15.33794688 XScale= 0.99900043 RedQX1 iteration 15 Try 2 RMS(Cart)= 0.00005094 RMS(Int)= 15.33798305 XScale= 0.99899685 RedQX1 iteration 16 Try 1 RMS(Cart)= 0.00005094 RMS(Int)= 15.33798305 XScale= 0.99899685 RedQX1 iteration 17 Try 1 RMS(Cart)= 0.00001019 RMS(Int)= 15.33795411 XScale= 0.99899971 RedQX1 iteration 18 Try 1 RMS(Cart)= 0.00000204 RMS(Int)= 15.33794833 XScale= 0.99900029 RedQX1 iteration 18 Try 2 RMS(Cart)= 0.00000204 RMS(Int)= 15.33794977 XScale= 0.99900014 RedQX1 iteration 18 Try 3 RMS(Cart)= 0.00000204 RMS(Int)= 15.33795122 XScale= 0.99900000 RedQX1 iteration 18 Try 4 RMS(Cart)= 0.00000204 RMS(Int)= 15.33795267 XScale= 0.99899986 RedQX1 iteration 19 Try 1 RMS(Cart)= 0.00000204 RMS(Int)= 15.33795267 XScale= 0.99899986 RedQX1 iteration 20 Try 1 RMS(Cart)= 0.00000041 RMS(Int)= 15.33795151 XScale= 0.99899997 Old curvilinear step not converged, using linear step: SCX= 2.96D+01 DXMaxT= 1.25-314 SCLim= 6.24-315 Fact= 2.11-316 RedCar/ORedCr failed for GTrans. Error termination via Lnk1e in C:\G09W\l101.exe at Tue Oct 13 15:01:03 2015. Job cpu time: 0 days 0 hours 0 minutes 1.0 seconds. File lengths (MBytes): RWF= 5 Int= 0 D2E= 0 Chk= 1 Scr= 1