Default is to use a total of 4 processors: 4 via shared-memory 1 via Linda Entering Link 1 = C:\G09W\l1.exe PID= 1224. 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 02-Dec-2015 ****************************************** %chk=\\icnas3.cc.ic.ac.uk\hw2413\labs\3rd year\TS lab\cope tutorial\boat-ts-qst2 .chk Default route: MaxDisk=10GB ------------------------------------------------------------------ # opt=qst2 freq hf/3-21g geom=connectivity integral=grid=ultrafine ------------------------------------------------------------------ 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=1,75=-5/1,2,3; 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=1,75=-5/1,2,3; 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 2.99926 0.20314 0.15034 C 1.87946 -0.44093 -0.1805 C 0.56029 0.21212 -0.49019 C -0.56028 -0.21211 0.49018 C -1.87946 0.44093 0.18048 C -2.99927 -0.20314 -0.15032 H 3.92242 -0.32675 0.36994 H 1.89034 -1.53181 -0.22571 H -1.89034 1.53181 0.22566 H -3.03721 -1.28934 -0.21009 H -3.92243 0.32674 -0.36991 H 3.03719 1.28934 0.21015 H 0.24376 -0.05364 -1.50929 H 0.67324 1.30409 -0.47052 H -0.67323 -1.30408 0.47052 H -0.24376 0.05365 1.50928 ------------------- Title Card Required ------------------- Symbolic Z-matrix: Charge = 0 Multiplicity = 1 C -0.56028 -0.21211 0.49018 C -1.87946 0.44093 0.18048 C -2.99927 -0.20314 -0.15032 C 2.99926 0.20314 0.15034 C 1.87946 -0.44093 -0.1805 C 0.56029 0.21212 -0.49019 H -0.24376 0.05365 1.50928 H -1.89034 1.53181 0.22566 H 1.89034 -1.53181 -0.22571 H 0.67324 1.30409 -0.47052 H 0.24376 -0.05364 -1.50929 H -0.67323 -1.30408 0.47052 H -3.92243 0.32674 -0.36991 H -3.03721 -1.28934 -0.21009 H 3.03719 1.28934 0.21015 H 3.92242 -0.32675 0.36994 Iteration 1 RMS(Cart)= 0.14542568 RMS(Int)= 1.18507533 Iteration 2 RMS(Cart)= 0.13108378 RMS(Int)= 1.14218523 Iteration 3 RMS(Cart)= 0.11020000 RMS(Int)= 1.10908690 Iteration 4 RMS(Cart)= 0.09153484 RMS(Int)= 1.08527146 Iteration 5 RMS(Cart)= 0.07224321 RMS(Int)= 1.06753676 Iteration 6 RMS(Cart)= 0.06362001 RMS(Int)= 1.05394240 Iteration 7 RMS(Cart)= 0.05819553 RMS(Int)= 1.04230035 Iteration 8 RMS(Cart)= 0.05901769 RMS(Int)= 1.02357872 Iteration 9 RMS(Cart)= 0.05168025 RMS(Int)= 1.00125430 Iteration 10 RMS(Cart)= 0.04790430 RMS(Int)= 0.98512084 Iteration 11 RMS(Cart)= 0.04512433 RMS(Int)= 0.97363049 Iteration 12 RMS(Cart)= 0.04257687 RMS(Int)= 0.96573480 Iteration 13 RMS(Cart)= 0.04069113 RMS(Int)= 0.96047919 Iteration 14 RMS(Cart)= 0.03990917 RMS(Int)= 0.95671494 Iteration 15 RMS(Cart)= 0.03884351 RMS(Int)= 0.95412603 Iteration 16 RMS(Cart)= 0.03587493 RMS(Int)= 0.95249551 Iteration 17 RMS(Cart)= 0.04715557 RMS(Int)= 0.94483040 Iteration 18 RMS(Cart)= 0.01433433 RMS(Int)= 0.94134411 Iteration 19 RMS(Cart)= 0.00703852 RMS(Int)= 0.93910990 Iteration 20 RMS(Cart)= 0.02627577 RMS(Int)= 0.92893135 Iteration 21 RMS(Cart)= 0.01677108 RMS(Int)= 0.92313923 Iteration 22 RMS(Cart)= 0.01103142 RMS(Int)= 0.91958786 Iteration 23 RMS(Cart)= 0.00741457 RMS(Int)= 0.91723415 Iteration 24 RMS(Cart)= 0.00503088 RMS(Int)= 0.91561473 Iteration 25 RMS(Cart)= 0.00344230 RMS(Int)= 0.91447389 Iteration 26 RMS(Cart)= 0.00237436 RMS(Int)= 0.91365377 Iteration 27 RMS(Cart)= 0.00165350 RMS(Int)= 0.91305227 Iteration 28 RMS(Cart)= 0.00116706 RMS(Int)= 0.91260154 Iteration 29 RMS(Cart)= 0.00084048 RMS(Int)= 0.91225567 Iteration 30 RMS(Cart)= 0.00062169 RMS(Int)= 0.91198254 Iteration 31 RMS(Cart)= 0.00047429 RMS(Int)= 0.91175009 Iteration 32 RMS(Cart)= 0.00039620 RMS(Int)= 0.91154520 Iteration 33 RMS(Cart)= 0.00034799 RMS(Int)= 0.91136162 Iteration 34 RMS(Cart)= 0.00031378 RMS(Int)= 0.91119532 Iteration 35 RMS(Cart)= 0.00028743 RMS(Int)= 0.91104346 Iteration 36 RMS(Cart)= 0.00026623 RMS(Int)= 0.91090386 Iteration 37 RMS(Cart)= 0.00024875 RMS(Int)= 0.91077480 Iteration 38 RMS(Cart)= 0.00023411 RMS(Int)= 0.91065487 Iteration 39 RMS(Cart)= 0.00022167 RMS(Int)= 0.91054291 Iteration 40 RMS(Cart)= 0.00021097 RMS(Int)= 0.91043796 Iteration 41 RMS(Cart)= 0.00020163 RMS(Int)= 0.91033919 Iteration 42 RMS(Cart)= 0.00019338 RMS(Int)= 0.91024590 Iteration 43 RMS(Cart)= 0.00018599 RMS(Int)= 0.91015751 Iteration 44 RMS(Cart)= 0.00017931 RMS(Int)= 0.91007352 Iteration 45 RMS(Cart)= 0.00017319 RMS(Int)= 0.90999349 Iteration 46 RMS(Cart)= 0.00016753 RMS(Int)= 0.90991705 Iteration 47 RMS(Cart)= 0.00016225 RMS(Int)= 0.90984389 Iteration 48 RMS(Cart)= 0.00015729 RMS(Int)= 0.90977372 Iteration 49 RMS(Cart)= 0.00015259 RMS(Int)= 0.90970633 Iteration 50 RMS(Cart)= 0.00014813 RMS(Int)= 0.90964149 Iteration 51 RMS(Cart)= 0.00014387 RMS(Int)= 0.90957903 Iteration 52 RMS(Cart)= 0.00013978 RMS(Int)= 0.90951879 Iteration 53 RMS(Cart)= 0.00013585 RMS(Int)= 0.90946063 Iteration 54 RMS(Cart)= 0.00013206 RMS(Int)= 0.90940443 Iteration 55 RMS(Cart)= 0.00012840 RMS(Int)= 0.90935007 Iteration 56 RMS(Cart)= 0.00012486 RMS(Int)= 0.90929748 Iteration 57 RMS(Cart)= 0.00012143 RMS(Int)= 0.90924654 Iteration 58 RMS(Cart)= 0.00011811 RMS(Int)= 0.90919720 Iteration 59 RMS(Cart)= 0.00011488 RMS(Int)= 0.90914937 Iteration 60 RMS(Cart)= 0.00011175 RMS(Int)= 0.90910299 Iteration 61 RMS(Cart)= 0.00010870 RMS(Int)= 0.90905800 Iteration 62 RMS(Cart)= 0.00010575 RMS(Int)= 0.90901434 Iteration 63 RMS(Cart)= 0.00010287 RMS(Int)= 0.90897197 Iteration 64 RMS(Cart)= 0.00010008 RMS(Int)= 0.90893084 Iteration 65 RMS(Cart)= 0.00009736 RMS(Int)= 0.90889091 Iteration 66 RMS(Cart)= 0.00009471 RMS(Int)= 0.90885212 Iteration 67 RMS(Cart)= 0.00009214 RMS(Int)= 0.90881445 Iteration 68 RMS(Cart)= 0.00008963 RMS(Int)= 0.90877786 Iteration 69 RMS(Cart)= 0.00008719 RMS(Int)= 0.90874231 Iteration 70 RMS(Cart)= 0.00008482 RMS(Int)= 0.90870777 Iteration 71 RMS(Cart)= 0.00008251 RMS(Int)= 0.90867421 Iteration 72 RMS(Cart)= 0.00008027 RMS(Int)= 0.90864159 Iteration 73 RMS(Cart)= 0.00007808 RMS(Int)= 0.90860990 Iteration 74 RMS(Cart)= 0.00007596 RMS(Int)= 0.90857910 Iteration 75 RMS(Cart)= 0.00007389 RMS(Int)= 0.90854916 Iteration 76 RMS(Cart)= 0.00007187 RMS(Int)= 0.90852006 Iteration 77 RMS(Cart)= 0.00006991 RMS(Int)= 0.90849178 Iteration 78 RMS(Cart)= 0.00006800 RMS(Int)= 0.90846428 Iteration 79 RMS(Cart)= 0.00006615 RMS(Int)= 0.90843756 Iteration 80 RMS(Cart)= 0.00006434 RMS(Int)= 0.90841158 Iteration 81 RMS(Cart)= 0.00006258 RMS(Int)= 0.90838633 Iteration 82 RMS(Cart)= 0.00006087 RMS(Int)= 0.90836178 Iteration 83 RMS(Cart)= 0.00005921 RMS(Int)= 0.90833792 Iteration 84 RMS(Cart)= 0.00005759 RMS(Int)= 0.90831472 Iteration 85 RMS(Cart)= 0.00005601 RMS(Int)= 0.90829217 Iteration 86 RMS(Cart)= 0.00005448 RMS(Int)= 0.90827025 Iteration 87 RMS(Cart)= 0.00005298 RMS(Int)= 0.90824894 Iteration 88 RMS(Cart)= 0.00005153 RMS(Int)= 0.90822822 Iteration 89 RMS(Cart)= 0.00005012 RMS(Int)= 0.90820807 Iteration 90 RMS(Cart)= 0.00004874 RMS(Int)= 0.90818849 Iteration 91 RMS(Cart)= 0.00004741 RMS(Int)= 0.90816945 Iteration 92 RMS(Cart)= 0.00004611 RMS(Int)= 0.90815095 Iteration 93 RMS(Cart)= 0.00004484 RMS(Int)= 0.90813295 Iteration 94 RMS(Cart)= 0.00004361 RMS(Int)= 0.90811546 Iteration 95 RMS(Cart)= 0.00004241 RMS(Int)= 0.90809845 Iteration 96 RMS(Cart)= 0.00004125 RMS(Int)= 0.90808192 Iteration 97 RMS(Cart)= 0.00004011 RMS(Int)= 0.90806584 Iteration 98 RMS(Cart)= 0.00003901 RMS(Int)= 0.90805022 Iteration 99 RMS(Cart)= 0.00003794 RMS(Int)= 0.90803502 Iteration100 RMS(Cart)= 0.00003689 RMS(Int)= 0.90802025 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)= 0.20224041 RMS(Int)= 1.13202413 XScale= 7.66699037 RedQX1 iteration 1 Try 2 RMS(Cart)= 0.20282195 RMS(Int)= 1.04602358 XScale= 3.85719583 RedQX1 iteration 1 Try 3 RMS(Cart)= 0.20601653 RMS(Int)= 0.97713057 XScale= 2.56983410 RedQX1 iteration 1 Try 4 RMS(Cart)= 0.21733996 RMS(Int)= 0.92736052 XScale= 1.90612386 RedQX1 iteration 1 Try 5 RMS(Cart)= 0.27017618 RMS(Int)= 0.90204500 XScale= 1.45849244 RedQX1 iteration 1 Try 6 RMS(Cart)= 0.18860452 RMS(Int)= 0.98489371 XScale= 1.33091787 RedQX1 iteration 2 Try 1 RMS(Cart)= 0.06163223 RMS(Int)= 1.13321908 XScale= 1.29577009 RedQX1 iteration 2 Try 2 RMS(Cart)= 0.05021385 RMS(Int)= 1.13119896 XScale= 1.30042912 RedQX1 iteration 2 Try 3 RMS(Cart)= 0.05913109 RMS(Int)= 1.13133322 XScale= 1.29387003 RedQX1 iteration 2 Try 4 RMS(Cart)= 0.08521374 RMS(Int)= 1.13495160 XScale= 1.26834543 RedQX1 iteration 2 Try 5 RMS(Cart)= 0.18044083 RMS(Int)= 1.15540319 XScale= 1.18803848 RedQX1 iteration 2 Try 6 RMS(Cart)= 0.24146190 RMS(Int)= 1.20827846 XScale= 1.06281148 RedQX1 iteration 3 Try 1 RMS(Cart)= 0.07521864 RMS(Int)= 1.23161103 XScale= 1.02573634 RedQX1 iteration 3 Try 2 RMS(Cart)= 0.10627569 RMS(Int)= 1.26750196 XScale= 0.98072840 RedQX1 iteration 4 Try 1 RMS(Cart)= 0.08502055 RMS(Int)= 1.26006946 XScale= 0.98924269 RedQX1 iteration 5 Try 1 RMS(Cart)= 0.01700411 RMS(Int)= 1.23711603 XScale= 1.01807840 RedQX1 iteration 5 Try 2 RMS(Cart)= 0.01815603 RMS(Int)= 1.24306374 XScale= 1.01017487 RedQX1 iteration 5 Try 3 RMS(Cart)= 0.01943290 RMS(Int)= 1.24949484 XScale= 1.00201404 RedQX1 iteration 5 Try 4 RMS(Cart)= 0.02085475 RMS(Int)= 1.25646604 XScale= 0.99356826 RedQX1 iteration 6 Try 1 RMS(Cart)= 0.01835218 RMS(Int)= 1.25562320 XScale= 0.99456980 RedQX1 iteration 7 Try 1 RMS(Cart)= 0.00367044 RMS(Int)= 1.25071310 XScale= 1.00051056 RedQX1 iteration 7 Try 2 RMS(Cart)= 0.00371794 RMS(Int)= 1.25194938 XScale= 0.99899768 RedQX1 iteration 8 Try 1 RMS(Cart)= 0.00368820 RMS(Int)= 1.25193947 XScale= 0.99900975 RedQX1 iteration 8 Try 2 RMS(Cart)= 0.00373591 RMS(Int)= 1.25318399 XScale= 0.99749944 RedQX1 iteration 9 Try 1 RMS(Cart)= 0.00370602 RMS(Int)= 1.25317402 XScale= 0.99751149 RedQX1 iteration 10 Try 1 RMS(Cart)= 0.00074120 RMS(Int)= 1.25218608 XScale= 0.99870951 RedQX1 iteration 11 Try 1 RMS(Cart)= 0.00014824 RMS(Int)= 1.25198878 XScale= 0.99894968 RedQX1 iteration 12 Try 1 RMS(Cart)= 0.00002965 RMS(Int)= 1.25194934 XScale= 0.99899773 RedQX1 iteration 13 Try 1 RMS(Cart)= 0.00000593 RMS(Int)= 1.25194145 XScale= 0.99900735 RedQX1 iteration 13 Try 2 RMS(Cart)= 0.00000593 RMS(Int)= 1.25194342 XScale= 0.99900494 RedQX1 iteration 13 Try 3 RMS(Cart)= 0.00000593 RMS(Int)= 1.25194539 XScale= 0.99900254 RedQX1 iteration 13 Try 4 RMS(Cart)= 0.00000593 RMS(Int)= 1.25194736 XScale= 0.99900014 RedQX1 iteration 13 Try 5 RMS(Cart)= 0.00000593 RMS(Int)= 1.25194934 XScale= 0.99899773 RedQX1 iteration 14 Try 1 RMS(Cart)= 0.00000593 RMS(Int)= 1.25194934 XScale= 0.99899773 RedQX1 iteration 15 Try 1 RMS(Cart)= 0.00000119 RMS(Int)= 1.25194776 XScale= 0.99899966 RedQX1 iteration 16 Try 1 RMS(Cart)= 0.00000024 RMS(Int)= 1.25194744 XScale= 0.99900004 RedQX1 iteration 16 Try 2 RMS(Cart)= 0.00000024 RMS(Int)= 1.25194752 XScale= 0.99899995 RedQX1 iteration 17 Try 1 RMS(Cart)= 0.00000024 RMS(Int)= 1.25194752 XScale= 0.99899995 RedQX1 iteration 18 Try 1 RMS(Cart)= 0.00000005 RMS(Int)= 1.25194746 XScale= 0.99900002 Iteration 1 RMS(Cart)= 0.17018924 RMS(Int)= 2.17175162 Iteration 2 RMS(Cart)= 0.12482490 RMS(Int)= 2.12305798 Iteration 3 RMS(Cart)= 0.00556946 RMS(Int)= 2.12062933 Iteration 4 RMS(Cart)= 0.00546660 RMS(Int)= 2.11824048 Iteration 5 RMS(Cart)= 0.00537689 RMS(Int)= 2.11588583 Iteration 6 RMS(Cart)= 0.00529462 RMS(Int)= 2.11356222 Iteration 7 RMS(Cart)= 0.00521327 RMS(Int)= 2.11126940 Iteration 8 RMS(Cart)= 0.00512083 RMS(Int)= 2.10901234 Iteration 9 RMS(Cart)= 0.00498484 RMS(Int)= 2.10681018 Iteration 10 RMS(Cart)= 0.00472514 RMS(Int)= 2.10471786 Iteration 11 RMS(Cart)= 0.00438604 RMS(Int)= 2.10277132 Iteration 12 RMS(Cart)= 0.00417093 RMS(Int)= 2.10091590 Iteration 13 RMS(Cart)= 0.00405137 RMS(Int)= 2.09910900 Iteration 14 RMS(Cart)= 0.00286168 RMS(Int)= 2.09782912 Iteration 15 RMS(Cart)= 0.00281261 RMS(Int)= 2.09656897 Iteration 16 RMS(Cart)= 0.00276914 RMS(Int)= 2.09532616 Iteration 17 RMS(Cart)= 0.00272998 RMS(Int)= 2.09409884 Iteration 18 RMS(Cart)= 0.00269424 RMS(Int)= 2.09288557 Iteration 19 RMS(Cart)= 0.00266123 RMS(Int)= 2.09168520 Iteration 20 RMS(Cart)= 0.00263048 RMS(Int)= 2.09049678 Iteration 21 RMS(Cart)= 0.00260161 RMS(Int)= 2.08931952 Iteration 22 RMS(Cart)= 0.00257433 RMS(Int)= 2.08815278 Iteration 23 RMS(Cart)= 0.00254842 RMS(Int)= 2.08699598 Iteration 24 RMS(Cart)= 0.00252372 RMS(Int)= 2.08584865 Iteration 25 RMS(Cart)= 0.00117294 RMS(Int)= 2.08531440 Iteration 26 RMS(Cart)= 0.00116258 RMS(Int)= 2.08478450 Iteration 27 RMS(Cart)= 0.00115242 RMS(Int)= 2.08425886 Iteration 28 RMS(Cart)= 0.00114246 RMS(Int)= 2.08373741 Iteration 29 RMS(Cart)= 0.00113268 RMS(Int)= 2.08322007 Iteration 30 RMS(Cart)= 0.00112309 RMS(Int)= 2.08270677 Iteration 31 RMS(Cart)= 0.00111367 RMS(Int)= 2.08219743 Iteration 32 RMS(Cart)= 0.00110441 RMS(Int)= 2.08169199 Iteration 33 RMS(Cart)= 0.00109532 RMS(Int)= 2.08119039 Iteration 34 RMS(Cart)= 0.00108638 RMS(Int)= 2.08069255 Iteration 35 RMS(Cart)= 0.00107760 RMS(Int)= 2.08019843 Iteration 36 RMS(Cart)= 0.00106896 RMS(Int)= 2.07970795 Iteration 37 RMS(Cart)= 0.00106046 RMS(Int)= 2.07922106 Iteration 38 RMS(Cart)= 0.00105211 RMS(Int)= 2.07873772 Iteration 39 RMS(Cart)= 0.00104389 RMS(Int)= 2.07825785 Iteration 40 RMS(Cart)= 0.00103579 RMS(Int)= 2.07778141 Iteration 41 RMS(Cart)= 0.00102783 RMS(Int)= 2.07730834 Iteration 42 RMS(Cart)= 0.00101999 RMS(Int)= 2.07683861 Iteration 43 RMS(Cart)= 0.00101227 RMS(Int)= 2.07637215 Iteration 44 RMS(Cart)= 0.00100466 RMS(Int)= 2.07590893 Iteration 45 RMS(Cart)= 0.00099717 RMS(Int)= 2.07544888 Iteration 46 RMS(Cart)= 0.00098931 RMS(Int)= 2.07499215 Iteration 47 RMS(Cart)= 0.00097944 RMS(Int)= 2.07453964 Iteration 48 RMS(Cart)= 0.00096973 RMS(Int)= 2.07409128 Iteration 49 RMS(Cart)= 0.00096018 RMS(Int)= 2.07364702 Iteration 50 RMS(Cart)= 0.00095078 RMS(Int)= 2.07320678 Iteration 51 RMS(Cart)= 0.00094154 RMS(Int)= 2.07277052 Iteration 52 RMS(Cart)= 0.00093245 RMS(Int)= 2.07233817 Iteration 53 RMS(Cart)= 0.00092350 RMS(Int)= 2.07190968 Iteration 54 RMS(Cart)= 0.00091470 RMS(Int)= 2.07148498 Iteration 55 RMS(Cart)= 0.00090603 RMS(Int)= 2.07106402 Iteration 56 RMS(Cart)= 0.00089750 RMS(Int)= 2.07064675 Iteration 57 RMS(Cart)= 0.00088911 RMS(Int)= 2.07023311 Iteration 58 RMS(Cart)= 0.00088085 RMS(Int)= 2.06982305 Iteration 59 RMS(Cart)= 0.00087271 RMS(Int)= 2.06941652 Iteration 60 RMS(Cart)= 0.00086470 RMS(Int)= 2.06901348 Iteration 61 RMS(Cart)= 0.00085681 RMS(Int)= 2.06861386 Iteration 62 RMS(Cart)= 0.00084904 RMS(Int)= 2.06821762 Iteration 63 RMS(Cart)= 0.00084138 RMS(Int)= 2.06782473 Iteration 64 RMS(Cart)= 0.00083384 RMS(Int)= 2.06743512 Iteration 65 RMS(Cart)= 0.00082641 RMS(Int)= 2.06704875 Iteration 66 RMS(Cart)= 0.00081909 RMS(Int)= 2.06666559 Iteration 67 RMS(Cart)= 0.00081188 RMS(Int)= 2.06628558 Iteration 68 RMS(Cart)= 0.00080477 RMS(Int)= 2.06590869 Iteration 69 RMS(Cart)= 0.00079776 RMS(Int)= 2.06553486 Iteration 70 RMS(Cart)= 0.00079086 RMS(Int)= 2.06516407 Iteration 71 RMS(Cart)= 0.00078405 RMS(Int)= 2.06479628 Iteration 72 RMS(Cart)= 0.00077734 RMS(Int)= 2.06443143 Iteration 73 RMS(Cart)= 0.00077072 RMS(Int)= 2.06406950 Iteration 74 RMS(Cart)= 0.00076419 RMS(Int)= 2.06371044 Iteration 75 RMS(Cart)= 0.00075776 RMS(Int)= 2.06335422 Iteration 76 RMS(Cart)= 0.00075141 RMS(Int)= 2.06300080 Iteration 77 RMS(Cart)= 0.00074516 RMS(Int)= 2.06265015 Iteration 78 RMS(Cart)= 0.00073898 RMS(Int)= 2.06230222 Iteration 79 RMS(Cart)= 0.00073289 RMS(Int)= 2.06195700 Iteration 80 RMS(Cart)= 0.00072688 RMS(Int)= 2.06160545 Iteration 81 RMS(Cart)= 0.00257014 RMS(Int)= 2.06030030 Iteration 82 RMS(Cart)= 0.00254867 RMS(Int)= 2.05900350 Iteration 83 RMS(Cart)= 0.00252765 RMS(Int)= 2.05771491 Iteration 84 RMS(Cart)= 0.00250706 RMS(Int)= 2.05643442 Iteration 85 RMS(Cart)= 0.00248687 RMS(Int)= 2.05516194 Iteration 86 RMS(Cart)= 0.00171777 RMS(Int)= 2.05428102 Iteration 87 RMS(Cart)= 0.00170276 RMS(Int)= 2.05340673 Iteration 88 RMS(Cart)= 0.00168801 RMS(Int)= 2.05253901 Iteration 89 RMS(Cart)= 0.00167349 RMS(Int)= 2.05167778 Iteration 90 RMS(Cart)= 0.00165920 RMS(Int)= 2.05082301 Iteration 91 RMS(Cart)= 0.00164514 RMS(Int)= 2.04997471 Iteration 92 RMS(Cart)= 0.00163123 RMS(Int)= 2.04913299 Iteration 93 RMS(Cart)= 0.00067882 RMS(Int)= 2.04878185 Iteration 94 RMS(Cart)= 0.00067283 RMS(Int)= 2.04843369 Iteration 95 RMS(Cart)= 0.00066690 RMS(Int)= 2.04808852 Iteration 96 RMS(Cart)= 0.00066102 RMS(Int)= 2.04774638 Iteration 97 RMS(Cart)= 0.00065515 RMS(Int)= 2.04740739 Iteration 98 RMS(Cart)= 0.00064927 RMS(Int)= 2.04707201 Iteration 99 RMS(Cart)= 0.00064321 RMS(Int)= 2.04674612 Iteration100 RMS(Cart)= 0.00063480 RMS(Int)= 2.06083075 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)= 0.50344282 RMS(Int)= 1.99155601 XScale= 6.57632108 RedQX1 iteration 1 Try 2 RMS(Cart)= 0.49702480 RMS(Int)= 1.89810151 XScale= 2.83833738 RedQX1 iteration 1 Try 3 RMS(Cart)= 0.48971053 RMS(Int)= 1.84294493 XScale= 1.87155245 RedQX1 iteration 1 Try 4 RMS(Cart)= 0.55474025 RMS(Int)= 1.83218341 XScale= 1.38812874 RedQX1 iteration 1 Try 5 RMS(Cart)= 1.24853393 RMS(Int)= 2.53480988 XScale= 1.34571500 RedQX1 iteration 1 Try 6 RMS(Cart)= 1.99120675 RMS(Int)= 3.80987365 XScale= 0.86765062 RedQX1 iteration 2 Try 1 RMS(Cart)= 0.39824135 RMS(Int)= 2.79989519 XScale= 1.29387964 RedQX1 iteration 2 Try 2 RMS(Cart)= 0.59209898 RMS(Int)= 3.09429436 XScale= 1.12484287 RedQX1 iteration 2 Try 3 RMS(Cart)= 0.89584869 RMS(Int)= 3.76136006 XScale= 0.90445199 RedQX1 iteration 3 Try 1 RMS(Cart)= 0.53750921 RMS(Int)= 3.50727390 XScale= 0.99264403 RedQX1 iteration 4 Try 1 RMS(Cart)= 0.10750184 RMS(Int)= 3.16407111 XScale= 1.09753272 RedQX1 iteration 4 Try 2 RMS(Cart)= 0.11580800 RMS(Int)= 3.30471670 XScale= 1.06750183 RedQX1 iteration 4 Try 3 RMS(Cart)= 0.12434505 RMS(Int)= 3.32540833 XScale= 1.03786717 RedQX1 iteration 4 Try 4 RMS(Cart)= 0.13563419 RMS(Int)= 3.42052610 XScale= 1.00199069 RedQX1 iteration 4 Try 5 RMS(Cart)= 0.14776975 RMS(Int)= 3.58162043 XScale= 0.96514974 RedQX1 iteration 5 Try 1 RMS(Cart)= 0.12412659 RMS(Int)= 3.56617414 XScale= 0.97053533 RedQX1 iteration 6 Try 1 RMS(Cart)= 0.02482532 RMS(Int)= 3.43820302 XScale= 0.99538849 RedQX1 iteration 7 Try 1 RMS(Cart)= 0.00496506 RMS(Int)= 3.42405224 XScale= 1.00067246 RedQX1 iteration 7 Try 2 RMS(Cart)= 0.00498006 RMS(Int)= 3.42759305 XScale= 0.99934941 RedQX1 iteration 7 Try 3 RMS(Cart)= 0.00499513 RMS(Int)= 3.43114865 XScale= 0.99802148 RedQX1 iteration 8 Try 1 RMS(Cart)= 0.00497914 RMS(Int)= 3.43113727 XScale= 0.99802573 RedQX1 iteration 9 Try 1 RMS(Cart)= 0.00099583 RMS(Int)= 3.42830152 XScale= 0.99908476 RedQX1 iteration 9 Try 2 RMS(Cart)= 0.00099643 RMS(Int)= 3.42901058 XScale= 0.99881992 RedQX1 iteration 10 Try 1 RMS(Cart)= 0.00099611 RMS(Int)= 3.42901035 XScale= 0.99882001 RedQX1 iteration 11 Try 1 RMS(Cart)= 0.00019922 RMS(Int)= 3.42844327 XScale= 0.99903181 RedQX1 iteration 11 Try 2 RMS(Cart)= 0.00019925 RMS(Int)= 3.42858505 XScale= 0.99897886 RedQX1 iteration 12 Try 1 RMS(Cart)= 0.00019923 RMS(Int)= 3.42858504 XScale= 0.99897886 RedQX1 iteration 13 Try 1 RMS(Cart)= 0.00003985 RMS(Int)= 3.42847162 XScale= 0.99902122 RedQX1 iteration 13 Try 2 RMS(Cart)= 0.00003985 RMS(Int)= 3.42849998 XScale= 0.99901063 RedQX1 iteration 13 Try 3 RMS(Cart)= 0.00003985 RMS(Int)= 3.42852833 XScale= 0.99900004 RedQX1 iteration 13 Try 4 RMS(Cart)= 0.00003985 RMS(Int)= 3.42855669 XScale= 0.99898945 RedQX1 iteration 14 Try 1 RMS(Cart)= 0.00003985 RMS(Int)= 3.42855669 XScale= 0.99898945 RedQX1 iteration 15 Try 1 RMS(Cart)= 0.00000797 RMS(Int)= 3.42853400 XScale= 0.99899792 RedQX1 iteration 16 Try 1 RMS(Cart)= 0.00000159 RMS(Int)= 3.42852947 XScale= 0.99899962 RedQX1 iteration 17 Try 1 RMS(Cart)= 0.00000032 RMS(Int)= 3.42852856 XScale= 0.99899996 RedQX1 iteration 18 Try 1 RMS(Cart)= 0.00000006 RMS(Int)= 3.42852838 XScale= 0.99900002 Iteration 1 RMS(Cart)= 0.27047768 RMS(Int)= 3.12413663 Iteration 2 RMS(Cart)= 0.24706748 RMS(Int)= 3.04329922 Iteration 3 RMS(Cart)= 0.27948315 RMS(Int)= 2.96190887 Iteration 4 RMS(Cart)= 0.29438649 RMS(Int)= 2.87813312 Iteration 5 RMS(Cart)= 0.29126283 RMS(Int)= 2.79551485 Iteration 6 RMS(Cart)= 0.22044422 RMS(Int)= 2.73315449 Iteration 7 RMS(Cart)= 0.06929470 RMS(Int)= 2.71237755 Iteration 8 RMS(Cart)= 0.01531692 RMS(Int)= 2.70769092 Iteration 9 RMS(Cart)= 0.01162863 RMS(Int)= 2.70412056 Iteration 10 RMS(Cart)= 0.00977403 RMS(Int)= 2.70111644 Iteration 11 RMS(Cart)= 0.00863741 RMS(Int)= 2.69845595 Iteration 12 RMS(Cart)= 0.00786057 RMS(Int)= 2.69603318 Iteration 13 RMS(Cart)= 0.00729273 RMS(Int)= 2.69378115 Iteration 14 RMS(Cart)= 0.00686874 RMS(Int)= 2.69165898 Iteration 15 RMS(Cart)= 0.00653387 RMS(Int)= 2.68963678 Iteration 16 RMS(Cart)= 0.00627173 RMS(Int)= 2.68769486 Iteration 17 RMS(Cart)= 0.00605475 RMS(Int)= 2.68581703 Iteration 18 RMS(Cart)= 0.00588042 RMS(Int)= 2.68399253 Iteration 19 RMS(Cart)= 0.00573083 RMS(Int)= 2.68221159 Iteration 20 RMS(Cart)= 0.00560893 RMS(Int)= 2.68046785 Iteration 21 RMS(Cart)= 0.00550185 RMS(Int)= 2.67875467 Iteration 22 RMS(Cart)= 0.00541469 RMS(Int)= 2.67706797 Iteration 23 RMS(Cart)= 0.00533694 RMS(Int)= 2.67540285 Iteration 24 RMS(Cart)= 0.00527371 RMS(Int)= 2.67375679 Iteration 25 RMS(Cart)= 0.00521656 RMS(Int)= 2.67212596 Iteration 26 RMS(Cart)= 0.00517074 RMS(Int)= 2.67050877 Iteration 27 RMS(Cart)= 0.00512851 RMS(Int)= 2.66890220 Iteration 28 RMS(Cart)= 0.00508562 RMS(Int)= 2.66730832 Iteration 29 RMS(Cart)= 0.00710976 RMS(Int)= 2.66507730 Iteration 30 RMS(Cart)= 0.00702848 RMS(Int)= 2.66286962 Iteration 31 RMS(Cart)= 0.00954317 RMS(Int)= 2.65986696 Iteration 32 RMS(Cart)= 0.00943680 RMS(Int)= 2.65689286 Iteration 33 RMS(Cart)= 0.00929814 RMS(Int)= 2.65395435 Iteration 34 RMS(Cart)= 0.01297974 RMS(Int)= 2.64984653 Iteration 35 RMS(Cart)= 0.01304614 RMS(Int)= 2.64570066 Iteration 36 RMS(Cart)= 0.01311873 RMS(Int)= 2.64151872 Iteration 37 RMS(Cart)= 0.01713475 RMS(Int)= 2.63602805 Iteration 38 RMS(Cart)= 0.02247159 RMS(Int)= 2.62877373 Iteration 39 RMS(Cart)= 0.02341448 RMS(Int)= 2.62111775 Iteration 40 RMS(Cart)= 0.02431252 RMS(Int)= 2.61301999 Iteration 41 RMS(Cart)= 0.02472341 RMS(Int)= 2.60443251 Iteration 42 RMS(Cart)= 0.01935885 RMS(Int)= 2.59691370 Iteration 43 RMS(Cart)= 0.01572904 RMS(Int)= 2.61209596 Iteration 44 RMS(Cart)= 0.00811584 RMS(Int)= 2.60894230 Iteration 45 RMS(Cart)= 0.00738135 RMS(Int)= 2.60619390 Iteration 46 RMS(Cart)= 0.00672924 RMS(Int)= 2.60373571 Iteration 47 RMS(Cart)= 0.00615180 RMS(Int)= 2.60151575 Iteration 48 RMS(Cart)= 0.00562987 RMS(Int)= 2.59949507 Iteration 49 RMS(Cart)= 0.00516986 RMS(Int)= 2.59764903 Iteration 50 RMS(Cart)= 0.00475106 RMS(Int)= 2.59595484 Iteration 51 RMS(Cart)= 0.00437748 RMS(Int)= 2.59439809 Iteration 52 RMS(Cart)= 0.00403372 RMS(Int)= 2.59296329 Iteration 53 RMS(Cart)= 0.00372402 RMS(Int)= 2.59164091 Iteration 54 RMS(Cart)= 0.00343636 RMS(Int)= 2.59041957 Iteration 55 RMS(Cart)= 0.00317226 RMS(Int)= 2.58929236 Iteration 56 RMS(Cart)= 0.00293124 RMS(Int)= 2.58825163 Iteration 57 RMS(Cart)= 0.00270689 RMS(Int)= 2.58729057 Iteration 58 RMS(Cart)= 0.00249800 RMS(Int)= 2.58640247 Iteration 59 RMS(Cart)= 0.00230657 RMS(Int)= 2.58558234 Iteration 60 RMS(Cart)= 0.00213011 RMS(Int)= 2.58482543 Iteration 61 RMS(Cart)= 0.00197295 RMS(Int)= 2.58412402 Iteration 62 RMS(Cart)= 0.00181465 RMS(Int)= 2.58347821 Iteration 63 RMS(Cart)= 0.00167363 RMS(Int)= 2.58288298 Iteration 64 RMS(Cart)= 0.00154558 RMS(Int)= 2.58233265 Iteration 65 RMS(Cart)= 0.00142581 RMS(Int)= 2.58182537 Iteration 66 RMS(Cart)= 0.00131702 RMS(Int)= 2.58135619 Iteration 67 RMS(Cart)= 0.00121521 RMS(Int)= 2.58092364 Iteration 68 RMS(Cart)= 0.00112317 RMS(Int)= 2.58052332 Iteration 69 RMS(Cart)= 0.00103627 RMS(Int)= 2.58015431 Iteration 70 RMS(Cart)= 0.00095782 RMS(Int)= 2.57981278 Iteration 71 RMS(Cart)= 0.00088408 RMS(Int)= 2.57949784 Iteration 72 RMS(Cart)= 0.00081767 RMS(Int)= 2.57920617 Iteration 73 RMS(Cart)= 0.00075502 RMS(Int)= 2.57893712 Iteration 74 RMS(Cart)= 0.00069864 RMS(Int)= 2.57868783 Iteration 75 RMS(Cart)= 0.00064471 RMS(Int)= 2.57845801 Iteration 76 RMS(Cart)= 0.00059814 RMS(Int)= 2.57824452 Iteration 77 RMS(Cart)= 0.00055264 RMS(Int)= 2.57804727 Iteration 78 RMS(Cart)= 0.00051045 RMS(Int)= 2.57786521 Iteration 79 RMS(Cart)= 0.00047188 RMS(Int)= 2.57769692 Iteration 80 RMS(Cart)= 0.00043547 RMS(Int)= 2.57754141 Iteration 81 RMS(Cart)= 0.00040514 RMS(Int)= 2.57739675 Iteration 82 RMS(Cart)= 0.00037396 RMS(Int)= 2.57726331 Iteration 83 RMS(Cart)= 0.00034588 RMS(Int)= 2.57713991 Iteration 84 RMS(Cart)= 0.00032178 RMS(Int)= 2.57702496 Iteration 85 RMS(Cart)= 0.00029708 RMS(Int)= 2.57691884 Iteration 86 RMS(Cart)= 0.00027476 RMS(Int)= 2.57682077 Iteration 87 RMS(Cart)= 0.00026251 RMS(Int)= 2.57672696 Iteration 88 RMS(Cart)= 0.00023743 RMS(Int)= 2.57664221 Iteration 89 RMS(Cart)= 0.00021880 RMS(Int)= 2.57656403 Iteration 90 RMS(Cart)= 0.00020285 RMS(Int)= 2.57649161 Iteration 91 RMS(Cart)= 0.00018803 RMS(Int)= 2.57642442 Iteration 92 RMS(Cart)= 0.00017357 RMS(Int)= 2.57636245 Iteration 93 RMS(Cart)= 0.00016168 RMS(Int)= 2.57630467 Iteration 94 RMS(Cart)= 0.00014885 RMS(Int)= 2.57625153 Iteration 95 RMS(Cart)= 0.00013905 RMS(Int)= 2.57620183 Iteration 96 RMS(Cart)= 0.00012766 RMS(Int)= 2.57615625 Iteration 97 RMS(Cart)= 0.00011969 RMS(Int)= 2.57611346 Iteration 98 RMS(Cart)= 0.00010965 RMS(Int)= 2.57607431 Iteration 99 RMS(Cart)= 0.00010297 RMS(Int)= 2.57603750 Iteration100 RMS(Cart)= 0.00009411 RMS(Int)= 2.57600390 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)= 0.81790774 RMS(Int)= 2.71142724 XScale= 5.74284708 RedQX1 iteration 1 Try 2 RMS(Cart)= 0.80703848 RMS(Int)= 2.35608859 XScale= 2.98688115 RedQX1 iteration 1 Try 3 RMS(Cart)= 0.80611395 RMS(Int)= 2.35917892 XScale= 2.06291634 RedQX1 iteration 1 Try 4 RMS(Cart)= 1.55538383 RMS(Int)= 3.06160178 XScale= 1.83529197 RedQX1 iteration 1 Try 5 RMS(Cart)= 4.17784516 RMS(Int)= 6.04139679 XScale= 0.87820644 RedQX1 iteration 2 Try 1 RMS(Cart)= 0.83556903 RMS(Int)= 3.52647221 XScale= 1.70874059 RedQX1 iteration 2 Try 2 RMS(Cart)= 1.07419178 RMS(Int)= 4.06484284 XScale= 1.51147016 RedQX1 iteration 2 Try 3 RMS(Cart)= 1.64097932 RMS(Int)= 5.02717203 XScale= 1.12648980 RedQX1 iteration 2 Try 4 RMS(Cart)= 3.16349117 RMS(Int)= 7.17681910 XScale= 0.67287444 RedQX1 iteration 3 Try 1 RMS(Cart)= 1.26539647 RMS(Int)= 5.82050112 XScale= 0.91252932 RedQX1 iteration 4 Try 1 RMS(Cart)= 0.25307929 RMS(Int)= 5.18639722 XScale= 1.08251537 RedQX1 iteration 4 Try 2 RMS(Cart)= 0.28239314 RMS(Int)= 5.36638417 XScale= 1.02701148 RedQX1 iteration 4 Try 3 RMS(Cart)= 0.30668195 RMS(Int)= 5.52573365 XScale= 0.97886838 RedQX1 iteration 5 Try 1 RMS(Cart)= 0.28214740 RMS(Int)= 5.51019966 XScale= 0.98265208 RedQX1 iteration 6 Try 1 RMS(Cart)= 0.05642948 RMS(Int)= 5.36917708 XScale= 1.01780019 RedQX1 iteration 6 Try 2 RMS(Cart)= 0.05757154 RMS(Int)= 5.40484440 XScale= 1.00889369 RedQX1 iteration 6 Try 3 RMS(Cart)= 0.05840425 RMS(Int)= 5.44120902 XScale= 0.99986654 RedQX1 iteration 6 Try 4 RMS(Cart)= 0.05925827 RMS(Int)= 5.48922571 XScale= 0.99076457 RedQX1 iteration 7 Try 1 RMS(Cart)= 0.05783607 RMS(Int)= 5.48835216 XScale= 0.99097454 RedQX1 iteration 8 Try 1 RMS(Cart)= 0.01156721 RMS(Int)= 5.44843281 XScale= 0.99808057 RedQX1 iteration 9 Try 1 RMS(Cart)= 0.00231344 RMS(Int)= 5.44265321 XScale= 0.99950924 RedQX1 iteration 9 Try 2 RMS(Cart)= 0.00231477 RMS(Int)= 5.44409851 XScale= 0.99915177 RedQX1 iteration 9 Try 3 RMS(Cart)= 0.00231609 RMS(Int)= 5.44554491 XScale= 0.99879415 RedQX1 iteration 10 Try 1 RMS(Cart)= 0.00231461 RMS(Int)= 5.44554399 XScale= 0.99879438 RedQX1 iteration 11 Try 1 RMS(Cart)= 0.00046292 RMS(Int)= 5.44438758 XScale= 0.99908029 RedQX1 iteration 11 Try 2 RMS(Cart)= 0.00046297 RMS(Int)= 5.44467670 XScale= 0.99900880 RedQX1 iteration 11 Try 3 RMS(Cart)= 0.00046303 RMS(Int)= 5.44496586 XScale= 0.99893730 RedQX1 iteration 12 Try 1 RMS(Cart)= 0.00046297 RMS(Int)= 5.44496582 XScale= 0.99893731 RedQX1 iteration 13 Try 1 RMS(Cart)= 0.00009259 RMS(Int)= 5.44473452 XScale= 0.99899450 RedQX1 iteration 14 Try 1 RMS(Cart)= 0.00001852 RMS(Int)= 5.44468826 XScale= 0.99900594 RedQX1 iteration 14 Try 2 RMS(Cart)= 0.00001852 RMS(Int)= 5.44469983 XScale= 0.99900308 RedQX1 iteration 14 Try 3 RMS(Cart)= 0.00001852 RMS(Int)= 5.44471139 XScale= 0.99900022 RedQX1 iteration 14 Try 4 RMS(Cart)= 0.00001852 RMS(Int)= 5.44472296 XScale= 0.99899736 RedQX1 iteration 15 Try 1 RMS(Cart)= 0.00001852 RMS(Int)= 5.44472296 XScale= 0.99899736 RedQX1 iteration 16 Try 1 RMS(Cart)= 0.00000370 RMS(Int)= 5.44471371 XScale= 0.99899965 RedQX1 iteration 17 Try 1 RMS(Cart)= 0.00000074 RMS(Int)= 5.44471186 XScale= 0.99900011 RedQX1 iteration 17 Try 2 RMS(Cart)= 0.00000074 RMS(Int)= 5.44471232 XScale= 0.99899999 RedQX1 iteration 18 Try 1 RMS(Cart)= 0.00000074 RMS(Int)= 5.44471232 XScale= 0.99899999 RedQX1 iteration 19 Try 1 RMS(Cart)= 0.00000015 RMS(Int)= 5.44471195 XScale= 0.99900008 RedQX1 iteration 19 Try 2 RMS(Cart)= 0.00000015 RMS(Int)= 5.44471204 XScale= 0.99900006 RedQX1 iteration 19 Try 3 RMS(Cart)= 0.00000015 RMS(Int)= 5.44471213 XScale= 0.99900004 RedQX1 iteration 19 Try 4 RMS(Cart)= 0.00000015 RMS(Int)= 5.44471223 XScale= 0.99900001 RedQX1 iteration 19 Try 5 RMS(Cart)= 0.00000015 RMS(Int)= 5.44471232 XScale= 0.99899999 RedQX1 iteration 20 Try 1 RMS(Cart)= 0.00000015 RMS(Int)= 5.44471232 XScale= 0.99899999 Old curvilinear step not converged, using linear step: SCX= 1.23D+01 DXMaxT= 1.25-314 SCLim= 6.24-315 Fact= 5.07-316 RedCar/ORedCr failed for GTrans. Error termination via Lnk1e in C:\G09W\l101.exe at Wed Dec 02 14:56:10 2015. Job cpu time: 0 days 0 hours 0 minutes 0.0 seconds. File lengths (MBytes): RWF= 5 Int= 0 D2E= 0 Chk= 2 Scr= 1