GNU Octave, version 2.1.53 (i386-pc-linux-gnu). Copyright (C) 2004 John W. Eaton. This is free software; see the source code for copying conditions. There is ABSOLUTELY NO WARRANTY; not even for MERCHANTIBILITY or FITNESS FOR A PARTICULAR PURPOSE. For details, type `warranty'. Please contribute if you find this software useful. For more information, visit http://www.octave.org/help-wanted.html Report bugs to (but first, please read http://www.octave.org/bugs.html to learn how to write a helpful report). BFGSMin intermediate results: Iteration 1 Stepsize 0.0076775 Objective function value 116.8764711407 Using numeric gradient Function conv 0 Param conv 0 Gradient conv 0 params gradient change 1.0000 9.0040 -0.0691 1.0000 -16.3911 0.1258 1.0000 -21.2366 0.1630 1.0000 8.8642 -0.0681 BFGSMin intermediate results: Iteration 2 Stepsize 0.0052801 Objective function value 113.8016644732 Using numeric gradient Function conv 0 Param conv 0 Gradient conv 0 params gradient change 0.9309 -7.9749 0.0126 1.1258 5.1381 0.0215 1.1630 -9.6582 0.1049 0.9319 -17.1709 0.0564 BFGSMin intermediate results: Iteration 3 Stepsize 0.0123223 Objective function value 112.7895239363 Using numeric gradient Function conv 0 Param conv 0 Gradient conv 0 params gradient change 0.9434 -0.6316 -0.0201 1.1473 3.2446 -0.0076 1.2680 0.8842 0.0025 0.9883 -4.1617 0.0083 BFGSMin intermediate results: Iteration 4 Stepsize 0.1195303 Objective function value 112.7670830470 Using numeric gradient Function conv 0 Param conv 0 Gradient conv 0 params gradient change 0.9233 -2.0135 -0.0320 1.1397 1.7459 0.0490 1.2704 0.8992 -0.0313 0.9967 -3.5837 0.0515 BFGSMin intermediate results: Iteration 5 Stepsize 0.9106053 Objective function value 112.7409964915 Using numeric gradient Function conv 0 Param conv 0 Gradient conv 0 params gradient change 0.8913 -1.4467 0.0269 1.1887 1.2768 -0.0304 1.2392 0.0319 0.0090 1.0482 -1.7718 -0.0203 BFGSMin intermediate results: Iteration 6 Stepsize 1.0519656 Objective function value 112.7199743625 Using numeric gradient Function conv 0 Param conv 0 Gradient conv 0 params gradient change 0.9182 0.0004 -0.0013 1.1583 0.1912 0.0001 1.2481 0.1071 -0.0017 1.0279 -0.1938 0.0019 BFGSMin intermediate results: Iteration 7 Stepsize 1.0511594 Objective function value 112.7197081953 Using numeric gradient Function conv 1 Param conv 0 Gradient conv 0 params gradient change 0.9169 0.0183 -0.0002 1.1584 -0.0054 0.0001 1.2465 0.0125 -0.0002 1.0298 0.0231 0.0000 BFGSMin intermediate results: Iteration 8 Stepsize 0.0801667 Objective function value 112.7197056950 Using numeric gradient Function conv 1 Param conv 1 Gradient conv 0 params gradient change 0.9168 -0.0003 0.0000 1.1585 0.0001 -0.0000 1.2463 0.0002 -0.0000 1.0298 -0.0000 -0.0000 BFGSMin intermediate results: Iteration 9 Stepsize 0.0000000 Objective function value 112.7197056947 Using numeric gradient Function conv 1 Param conv 1 Gradient conv 0 params gradient change 0.9168 -0.0003 0.0000 1.1585 0.0001 -0.0000 1.2463 0.0002 -0.0000 1.0298 -0.0000 -0.0000 BFGSMin intermediate results: Iteration 10 Stepsize 0.0094751 Objective function value 112.7197056947 Using numeric gradient Function conv 1 Param conv 1 Gradient conv 0 params gradient change 0.9168 -0.0003 0.0000 1.1585 0.0001 -0.0000 1.2463 0.0002 -0.0000 1.0298 -0.0000 0.0000 BFGSMin intermediate results: Iteration 11 Stepsize 0.0059579 Objective function value 112.7197056940 Using numeric gradient Function conv 1 Param conv 1 Gradient conv 0 params gradient change 0.9168 0.0000 0.0000 1.1585 -0.0001 0.0000 1.2463 0.0001 -0.0000 1.0298 0.0003 -0.0000 BFGSMin intermediate results: Iteration 12 Stepsize 0.0758000 Objective function value 112.7197056937 Using numeric gradient Function conv 1 Param conv 1 Gradient conv 0 params gradient change 0.9168 -0.0000 0.0000 1.1585 0.0001 -0.0000 1.2463 -0.0000 0.0000 1.0298 0.0000 -0.0000 BFGSMin intermediate results: Iteration 13 Stepsize 0.0122449 Objective function value 112.7197056933 Using numeric gradient Function conv 1 Param conv 1 Gradient conv 0 params gradient change 0.9168 -0.0001 0.0000 1.1585 -0.0001 -0.0000 1.2463 -0.0001 0.0000 1.0298 0.0000 -0.0000 BFGSMin intermediate results: Iteration 14 Stepsize 0.0005000 Objective function value 112.7197056932 Using numeric gradient Function conv 1 Param conv 1 Gradient conv 1 params gradient change 0.9168 -0.0000 -0.0000 1.1585 -0.0000 0.0000 1.2463 -0.0000 -0.0000 1.0298 -0.0000 0.0000