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R72.log
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node102.podcluster
< M A T L A B (R) >
Copyright 1984-2021 The MathWorks, Inc.
R2021b Update 1 (9.11.0.1809720) 64-bit (glnxa64)
November 2, 2021
[Warning: Unrecognized command line option: nospxlash.]
To get started, type doc.
For product information, visit www.mathworks.com.
>> Starting parallel pool (parpool) using the 'local' profile ...
Connected to the parallel pool (number of workers: 40).
>> Number of workers: 40
>> >> >> >> >> >> -------------------------------------------------------------------------------------------
## BIGMACS: Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals
-------------------------------------------------------------------------------------------
## Stack construction algorithm is now running...
# Initializing...
Data are loaded successfully.
Initializing the age samples...
{Error using Proposal_init (line 105)
Operands to the logical and (&&) and or (||) operators must be convertible to
logical scalar values.
Error in getProposal (line 80)
[A{n},W{n}] = Proposal_init(W{n+1},A{n+1},depth_diff(n),d18O(n,:),C14{n},Age_Info(n,:),data,param,S,target,data_type,n);
Error in initializeAlignment (line 7)
parfor ll = 1:L
Error in Stacking (line 12)
QQ = initializeAlignment(data,data_part,param,target,setting);
Error in BIGMACS (line 28)
[data,samples,param,target,setting] = Stacking(inputFile);
}
>> MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
To get started, type doc.
For product information, visit www.mathworks.com.
Starting parallel pool (parpool) using the 'local' profile ...
Connected to the parallel pool (number of workers: 36).
Number of workers: 36
-------------------------------------------------------------------------------------------
## BIGMACS: Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals
-------------------------------------------------------------------------------------------
## Stack construction algorithm is now running...
# Initializing...
Data are loaded successfully.
Initializing the age samples...
Done.
# Stacking algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [23.79298 16.75211 20.42948 6.242536 12.54635 16.20638 13.9705 6.557038 8.293748 88.84157 16.65385 10.27988 6.030835 11.30084 17.89732 0.1910876 36.86299 43.87281 56.56364 14.76885 26.95142 27.02498 185.0697 61.22772 50.89574].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.92216 0.035606 0.24397 0.03358 -0.21749 0.19943 -0.014782 0.37971 0.033633 0.46116 -0.067257 0.18597 0.20769 0.090189 1.7284 0.041816 0.35343 -0.4371 0.21968 0.25941 0.069802 -0.0025771 0.66443 0.4185 -0.007505].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.012878 -0.059008 0.063057 0.050465 -0.064875 -0.074438 -0.1474 4.2185e-05 0.082672 -0.014367 -0.0065499 -0.020362 0.010002 -0.10251 0.11329 0.094689 0.090698 0.007753 0.12159 0.10582 -0.15307 0.062833 0.25101 -0.03458 0.32621].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.00011924 -0.10886 -0.052693 0.4612 0.032155 -0.48006 -0.023279 -0.016612 0.072916 -0.20533 0.0080845 -0.02181 0.042723 0.16567 -0.13885 -0.069374 0.037059 -0.12026 0.07178 0.026539 -0.0088844 -0.0098992 0.030039 0.017642 -0.10868].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [20.08062 25.07381 26.32074 16.82716 16.59482 23.19702 27.79841 19.62386 20.23591 41.49564 22.51588 7.112099 2.403114 14.2299 15.89749 10.88388 27.95896 37.93591 24.54894 30.62531 24.9955 48.14844 191.7142 45.23265 28.26062].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.42733 2.3675 0.016812 2.8692 0.8583 1.0581 0.58139 1.1749 1.2892 2.6697 1.7403 0.58459 0.028065 1.2813 -0.28036 -0.05977 3.4277 -0.19384 1.2787 -0.12904 0.28915 2.2379 1.9793 2.4826 2.2507].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.084237 1.2452 -0.014281 0.19128 1.3047 0.026157 -8.5358e-05 -0.30698 0.056554 -0.14479 0.55248 -0.078912 0.015532 0.27551 0.35425 -0.13202 -0.26735 0.099685 0.14481 -0.0068851 0.18445 0.033998 0.83619 0.025377 -0.12863].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.020641 -0.015379 -0.27445 -0.27077 0.13979 0.004858 -0.12155 0.089892 0.019657 0.34865 0.0054694 0.035821 0.062806 -0.0025126 0.43033 0.11404 -0.59535 -0.1807 -0.02469 -0.010814 0.15504 -0.059157 0.16674 0.049173 -0.049822].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.083183 -0.0022967 0.076118 0.12461 0.6371 0.0010808 0.2128 -0.036612 -0.028519 -0.17186 -0.0057849 0.0043775 0.011478 -0.32119 -0.65906 -0.048243 -0.30779 0.31555 0.03558 0.0080055 -0.045814 -0.029491 0.095419 -0.11018 -0.026295].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.071018 -0.028324 0.16648 -0.11554 -0.51918 -0.0734 0.013593 -0.11624 0.041007 0.18461 -0.0029234 -0.00064688 -0.023475 0.23302 0.28064 0.30237 1.0783 -0.015534 -0.03139 -0.0038489 -0.16887 0.078846 -0.047246 -0.39903 0.035981].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.05056 -0.073577 -0.091043 0.17164 0.0097824 0.025185 -0.17014 0.13283 -0.14006 -0.1632 -0.070364 -0.044595 0.02467 -0.18178 -0.23437 -0.24612 0.24651 -0.1064 0.018736 -0.0055972 0.067278 0.00094378 -0.99476 0.18095 -0.050493].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.040621 0.11107 -0.041039 -0.20471 -0.034393 -0.26739 0.11584 0.044201 -0.040819 0.1267 0.03788 0.034675 0.011871 0.33281 0.063905 0.069702 -0.094561 -0.024796 -0.0042202 0.0080002 0.11018 -0.00014184 0.016982 -0.37272 0.02981].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.584 0.19868 0.25544 0.33359 0.21674 0.0029927 0.035072 -0.48369 -0.044804 -1.0108 0.085216 -0.010747 -0.12538 0.42615 0.14659 1.5098 -0.14444 0.28394 -0.081886 0.08568 0.20946 0.22367 0.7018 0.15649 -0.084027].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.083133 -0.0038218 -0.026328 -0.030765 0.057 -0.028093 -0.045152 -0.12245 -0.068747 0.17717 0.0067127 0.083662 0.034614 -0.24714 -0.98107 0.016538 -0.53823 0.12462 0.11454 0.035566 -0.015489 0.009265 1.9859 0.015499 -0.013508].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.056365 0.017226 -0.14603 0.19267 0.0064393 0.007374 0.32267 0.21783 -0.20649 -0.12555 -0.01805 -0.079562 0.037788 -0.0043394 -0.02996 -0.39233 -0.9298 -0.1784 0.32792 0.25642 -0.02551 -0.075268 0.85719 0.017714 0.040068].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0086758 -0.065054 -0.11904 0.14961 0.057802 -0.042364 0.0012794 -0.010351 0.13683 -0.39999 -0.044422 -0.052269 0.013348 -0.075646 0.021385 0.27361 -0.25552 -0.058364 -0.12163 0.0033376 -0.054961 -0.056958 -0.077027 -0.51306 -0.0029559].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0089747 0.063219 0.077816 -0.12215 -0.011688 0.036674 0.01759 0.0077241 -0.14263 0.067685 -0.014494 0.016823 -0.11241 0.1228 -0.11779 -0.050001 0.43178 0.19647 0.12459 -0.094269 0.023699 -0.01514 0.18784 -0.00037457 0.10466].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.083865 -0.10471 0.29185 -0.042798 -0.35488 0.09636 -0.069391 0.21637 0.004743 0.11657 0.15485 -0.17295 0.16375 -0.0046703 0.018974 1.2 -0.019332 0.28042 0.13234 -0.0382 -0.01104 0.60268 1.5587 -0.082641 -1.0168].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28824 -0.30692 0.020787 0.13052 -0.037096 -0.19426 -0.055034 -0.078567 -0.13049 -0.013172 -0.094427 0.30823 0.016588 0.059799 0.20525 0.16398 -0.016247 0.02515 -0.019925 0.085241 -0.0096624 0.026522 0.42178 0.018928 -0.18538].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.16223 -0.6291 0.063397 0.0055449 0.21085 -0.063089 0.029197 0.060584 0.19599 -0.0026897 -0.164 -0.19152 -0.10952 -0.33711 0.27439 0.24539 0.065359 0.011426 0.08119 0.27422 -0.39022 0.12644 0.67264 0.046677 0.67008].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11771 0.33364 -0.40776 0.16755 0.21273 0.029121 0.0070732 0.070643 -0.070849 0.035194 -0.014165 0.052572 -0.0098722 0.028809 -0.083013 0.35947 -0.090845 -0.26525 -0.49891 -0.031086 0.080701 0.04702 0.0062928 -1.0847 -0.11708].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.081349 0.0052723 0.45327 0.14274 -0.25006 -0.2279 0.0087893 -0.069996 0.064985 0.049339 0.030159 0.025044 0.019908 0.0093768 -0.18053 -0.0080189 0.18522 0.97559 0.27209 -0.10035 -0.018532 -0.17035 0.049369 0.017184 0.0028412].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.071026 -0.034455 -0.077357 -0.37302 0.25754 0.059223 -0.0036052 0.089982 -0.096441 -0.67846 -0.043001 -0.037117 -0.0063914 -0.074752 0.058983 -0.013012 -0.12282 -0.27028 0.20554 0.13038 0.098814 0.16279 -0.029036 0.0054726 0.21935].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.040055 0.0085942 -0.19238 -0.24008 0.029583 0.07589 -0.019959 -0.12134 0.1203 0.44206 0.044475 -0.093917 -0.085942 0.0077505 0.037515 0.052492 0.083816 0.07182 0.026681 -0.25212 -0.043645 -0.014202 -0.21276 -0.023447 -0.2443].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015369 -0.031531 0.28205 -0.062171 -0.047692 0.22274 -0.52937 -0.047325 0.0017783 0.043186 -0.028488 0.090723 0.26397 1.6437 -0.022499 0.66172 -0.16733 -0.10625 0.11275 0.065347 -0.17407 0.22845 0.29876 0.14527 0.38995].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.054974 -0.019417 -0.11615 -0.002812 -0.22333 0.0035166 -0.18012 0.059788 -0.015804 0.46745 0.086895 0.010781 -0.2111 0.02032 0.28003 0.066454 -0.048451 0.24424 0.0080758 0.024947 0.027289 -0.17393 -0.48582 0.1388 0.081127].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.089164 -0.054002 -0.27991 -0.030949 0.076175 0.061518 0.50367 0.4603 -0.072352 -0.019478 0.15684 -0.077451 0.056089 0.011896 -0.33192 0.25987 -0.0054685 -0.069628 -0.0016999 -0.023937 -0.02353 -0.21386 0.83329 -0.37727 0.0092212].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13734 0.074649 -0.072269 0.22576 0.19638 0.10025 0.013914 -0.65292 0.033931 -0.0089067 0.12944 -0.0076972 -0.13389 0.41213 -0.020697 0.13065 -0.14639 0.0077514 0.027815 -0.14014 -0.042328 0.02224 0.26708 0.69737 0.021928].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.27089 0.0091053 0.0047705 -0.14148 -0.089213 -0.25849 0.019146 0.093673 -0.051874 0.039236 0.10374 -0.12917 0.48816 -0.19459 -0.014869 0.12334 0.16857 0.0014952 0.0024501 0.16247 0.042784 0.0024565 0.30028 -0.10638 0.033935].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
Done.
# Age model construction algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.023575 -0.034442 0.11272 -0.050203 -0.49825 -0.039764 -0.29608 -0.14751 -0.046232 -0.037787 0.092704 -0.33291 -0.0063287 -0.18238 0.028349 2.4456 0.32957 0.049635 -0.15258 0.095304 0.067085 0.018776 0.31163 -0.14571 -0.29398].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.20986 -0.11572 0.044169 -0.071334 -0.4613 0.029069 0.0086479 0.11112 0.0178 0.1135 -0.21152 0.0006706 0.071283 0.038189 0.088103 0.073226 -0.095544 0.093517 -0.028395 0.32793 -0.055775 -0.76192 -0.23968 -0.0062524 -0.36336].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17019 -0.007036 0.24273 -0.0047983 -0.026868 -0.36055 -0.34978 -0.14877 0.062713 -0.051581 -0.16079 -0.023137 0.050453 -0.059735 -0.034924 0.7805 0.20025 -0.42129 0.25922 -0.027049 -0.62261 -0.40734 0.82366 -0.087579 -0.015782].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.079926 0.089694 -0.30226 -0.11238 0.078543 0.062369 0.029204 0.15185 0.0032502 -0.057205 -0.42676 0.22127 0.0086539 0.39862 0.20661 -0.037217 -0.39778 0.020712 -0.45239 -0.089911 -0.21736 0.1655 0.084562 -0.012232 -0.0066727].
# Parameters are learned. Sampling algorithm is now running...
=>> PBS: job killed: walltime 10858 exceeded limit 10800
MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #181: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2022 The MathWorks, Inc.
R2022a (9.12.0.1884302) 64-bit (glnxa64)
February 16, 2022
To get started, type doc.
For product information, visit www.mathworks.com.
Starting parallel pool (parpool) using the 'local' profile ...
Connected to the parallel pool (number of workers: 36).
Number of workers: 36
-------------------------------------------------------------------------------------------
## BIGMACS: Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals
-------------------------------------------------------------------------------------------
## Stack construction algorithm is now running...
# Initializing...
Data are loaded successfully.
Initializing the age samples...
Done.
# Stacking algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [23.79298 16.75211 20.42948 6.242536 12.54635 16.20638 13.9705 6.557038 8.293748 88.84157 16.65385 10.27988 6.030835 11.30084 17.89732 0.1910876 36.86299 43.87281 56.56364 14.76885 26.95142 27.02498 185.0697 61.22772 50.89574].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.92216 0.035606 0.24397 0.03358 -0.21749 0.19943 -0.014782 0.37971 0.033633 0.46116 -0.067257 0.18597 0.20769 0.090189 1.7284 0.041816 0.35343 -0.4371 0.21968 0.25941 0.069802 -0.0025771 0.66443 0.4185 -0.007505].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.012878 -0.059008 0.063057 0.050465 -0.064875 -0.074438 -0.1474 4.2185e-05 0.082672 -0.014367 -0.0065499 -0.020362 0.010002 -0.10251 0.11329 0.094689 0.090698 0.007753 0.12159 0.10582 -0.15307 0.062833 0.25101 -0.03458 0.32621].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.00011924 -0.10886 -0.052693 0.4612 0.032155 -0.48006 -0.023279 -0.016612 0.072916 -0.20533 0.0080845 -0.02181 0.042723 0.16567 -0.13885 -0.069374 0.037059 -0.12026 0.07178 0.026539 -0.0088844 -0.0098992 0.030039 0.017642 -0.10868].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [20.08062 25.07381 26.32074 16.82716 16.59482 23.19702 27.79841 19.62386 20.23591 41.49564 22.51588 7.112099 2.403114 14.2299 15.89749 10.88388 27.95896 37.93591 24.54894 30.62531 24.9955 48.14844 191.7142 45.23265 28.26062].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.42733 2.3675 0.016812 2.8692 0.8583 1.0581 0.58139 1.1749 1.2892 2.6697 1.7403 0.58459 0.028065 1.2813 -0.28036 -0.05977 3.4277 -0.19384 1.2787 -0.12904 0.28915 2.2379 1.9793 2.4826 2.2507].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.084237 1.2452 -0.014281 0.19128 1.3047 0.026157 -8.5358e-05 -0.30698 0.056554 -0.14479 0.55248 -0.078912 0.015532 0.27551 0.35425 -0.13202 -0.26735 0.099685 0.14481 -0.0068851 0.18445 0.033998 0.83619 0.025377 -0.12863].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.020641 -0.015379 -0.27445 -0.27077 0.13979 0.004858 -0.12155 0.089892 0.019657 0.34865 0.0054694 0.035821 0.062806 -0.0025126 0.43033 0.11404 -0.59535 -0.1807 -0.02469 -0.010814 0.15504 -0.059157 0.16674 0.049173 -0.049822].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.083183 -0.0022967 0.076118 0.12461 0.6371 0.0010808 0.2128 -0.036612 -0.028519 -0.17186 -0.0057849 0.0043775 0.011478 -0.32119 -0.65906 -0.048243 -0.30779 0.31555 0.03558 0.0080055 -0.045814 -0.029491 0.095419 -0.11018 -0.026295].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.071018 -0.028324 0.16648 -0.11554 -0.51918 -0.0734 0.013593 -0.11624 0.041007 0.18461 -0.0029234 -0.00064688 -0.023475 0.23302 0.28064 0.30237 1.0783 -0.015534 -0.03139 -0.0038489 -0.16887 0.078846 -0.047246 -0.39903 0.035981].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.05056 -0.073577 -0.091043 0.17164 0.0097824 0.025185 -0.17014 0.13283 -0.14006 -0.1632 -0.070364 -0.044595 0.02467 -0.18178 -0.23437 -0.24612 0.24651 -0.1064 0.018736 -0.0055972 0.067278 0.00094378 -0.99476 0.18095 -0.050493].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.040621 0.11107 -0.041039 -0.20471 -0.034393 -0.26739 0.11584 0.044201 -0.040819 0.1267 0.03788 0.034675 0.011871 0.33281 0.063905 0.069702 -0.094561 -0.024796 -0.0042202 0.0080002 0.11018 -0.00014184 0.016982 -0.37272 0.02981].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.584 0.19868 0.25544 0.33359 0.21674 0.0029927 0.035072 -0.48369 -0.044804 -1.0108 0.085216 -0.010747 -0.12538 0.42615 0.14659 1.5098 -0.14444 0.28394 -0.081886 0.08568 0.20946 0.22367 0.7018 0.15649 -0.084027].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.083133 -0.0038218 -0.026328 -0.030765 0.057 -0.028093 -0.045152 -0.12245 -0.068747 0.17717 0.0067127 0.083662 0.034614 -0.24714 -0.98107 0.016538 -0.53823 0.12462 0.11454 0.035566 -0.015489 0.009265 1.9859 0.015499 -0.013508].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.056365 0.017226 -0.14603 0.19267 0.0064393 0.007374 0.32267 0.21783 -0.20649 -0.12555 -0.01805 -0.079562 0.037788 -0.0043394 -0.02996 -0.39233 -0.9298 -0.1784 0.32792 0.25642 -0.02551 -0.075268 0.85719 0.017714 0.040068].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0086758 -0.065054 -0.11904 0.14961 0.057802 -0.042364 0.0012794 -0.010351 0.13683 -0.39999 -0.044422 -0.052269 0.013348 -0.075646 0.021385 0.27361 -0.25552 -0.058364 -0.12163 0.0033376 -0.054961 -0.056958 -0.077027 -0.51306 -0.0029559].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0089747 0.063219 0.077816 -0.12215 -0.011688 0.036674 0.01759 0.0077241 -0.14263 0.067685 -0.014494 0.016823 -0.11241 0.1228 -0.11779 -0.050001 0.43178 0.19647 0.12459 -0.094269 0.023699 -0.01514 0.18784 -0.00037457 0.10466].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.083865 -0.10471 0.29185 -0.042798 -0.35488 0.09636 -0.069391 0.21637 0.004743 0.11657 0.15485 -0.17295 0.16375 -0.0046703 0.018974 1.2 -0.019332 0.28042 0.13234 -0.0382 -0.01104 0.60268 1.5587 -0.082641 -1.0168].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28824 -0.30692 0.020787 0.13052 -0.037096 -0.19426 -0.055034 -0.078567 -0.13049 -0.013172 -0.094427 0.30823 0.016588 0.059799 0.20525 0.16398 -0.016247 0.02515 -0.019925 0.085241 -0.0096624 0.026522 0.42178 0.018928 -0.18538].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.16223 -0.6291 0.063397 0.0055449 0.21085 -0.063089 0.029197 0.060584 0.19599 -0.0026897 -0.164 -0.19152 -0.10952 -0.33711 0.27439 0.24539 0.065359 0.011426 0.08119 0.27422 -0.39022 0.12644 0.67264 0.046677 0.67008].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11771 0.33364 -0.40776 0.16755 0.21273 0.029121 0.0070732 0.070643 -0.070849 0.035194 -0.014165 0.052572 -0.0098722 0.028809 -0.083013 0.35947 -0.090845 -0.26525 -0.49891 -0.031086 0.080701 0.04702 0.0062928 -1.0847 -0.11708].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.081349 0.0052723 0.45327 0.14274 -0.25006 -0.2279 0.0087893 -0.069996 0.064985 0.049339 0.030159 0.025044 0.019908 0.0093768 -0.18053 -0.0080189 0.18522 0.97559 0.27209 -0.10035 -0.018532 -0.17035 0.049369 0.017184 0.0028412].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.071026 -0.034455 -0.077357 -0.37302 0.25754 0.059223 -0.0036052 0.089982 -0.096441 -0.67846 -0.043001 -0.037117 -0.0063914 -0.074752 0.058983 -0.013012 -0.12282 -0.27028 0.20554 0.13038 0.098814 0.16279 -0.029036 0.0054726 0.21935].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.040055 0.0085942 -0.19238 -0.24008 0.029583 0.07589 -0.019959 -0.12134 0.1203 0.44206 0.044475 -0.093917 -0.085942 0.0077505 0.037515 0.052492 0.083816 0.07182 0.026681 -0.25212 -0.043645 -0.014202 -0.21276 -0.023447 -0.2443].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015369 -0.031531 0.28205 -0.062171 -0.047692 0.22274 -0.52937 -0.047325 0.0017783 0.043186 -0.028488 0.090723 0.26397 1.6437 -0.022499 0.66172 -0.16733 -0.10625 0.11275 0.065347 -0.17407 0.22845 0.29876 0.14527 0.38995].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.054974 -0.019417 -0.11615 -0.002812 -0.22333 0.0035166 -0.18012 0.059788 -0.015804 0.46745 0.086895 0.010781 -0.2111 0.02032 0.28003 0.066454 -0.048451 0.24424 0.0080758 0.024947 0.027289 -0.17393 -0.48582 0.1388 0.081127].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.089164 -0.054002 -0.27991 -0.030949 0.076175 0.061518 0.50367 0.4603 -0.072352 -0.019478 0.15684 -0.077451 0.056089 0.011896 -0.33192 0.25987 -0.0054685 -0.069628 -0.0016999 -0.023937 -0.02353 -0.21386 0.83329 -0.37727 0.0092212].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13734 0.074649 -0.072269 0.22576 0.19638 0.10025 0.013914 -0.65292 0.033931 -0.0089067 0.12944 -0.0076972 -0.13389 0.41213 -0.020697 0.13065 -0.14639 0.0077514 0.027815 -0.14014 -0.042328 0.02224 0.26708 0.69737 0.021928].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.27089 0.0091053 0.0047705 -0.14148 -0.089213 -0.25849 0.019146 0.093673 -0.051874 0.039236 0.10374 -0.12917 0.48816 -0.19459 -0.014869 0.12334 0.16857 0.0014952 0.0024501 0.16247 0.042784 0.0024565 0.30028 -0.10638 0.033935].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
Done.
# Age model construction algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.023575 -0.034442 0.11272 -0.050203 -0.49825 -0.039764 -0.29608 -0.14751 -0.046232 -0.037787 0.092704 -0.33291 -0.0063287 -0.18238 0.028349 2.4456 0.32957 0.049635 -0.15258 0.095304 0.067085 0.018776 0.31163 -0.14571 -0.29398].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.20986 -0.11572 0.044169 -0.071334 -0.4613 0.029069 0.0086479 0.11112 0.0178 0.1135 -0.21152 0.0006706 0.071283 0.038189 0.088103 0.073226 -0.095544 0.093517 -0.028395 0.32793 -0.055775 -0.76192 -0.23968 -0.0062524 -0.36336].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17019 -0.007036 0.24273 -0.0047983 -0.026868 -0.36055 -0.34978 -0.14877 0.062713 -0.051581 -0.16079 -0.023137 0.050453 -0.059735 -0.034924 0.7805 0.20025 -0.42129 0.25922 -0.027049 -0.62261 -0.40734 0.82366 -0.087579 -0.015782].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.079926 0.089694 -0.30226 -0.11238 0.078543 0.062369 0.029204 0.15185 0.0032502 -0.057205 -0.42676 0.22127 0.0086539 0.39862 0.20661 -0.037217 -0.39778 0.020712 -0.45239 -0.089911 -0.21736 0.1655 0.084562 -0.012232 -0.0066727].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
[Warning: MATLAB has disabled some advanced graphics rendering features by
switching to software OpenGL. For more information, click <a
href="matlab:opengl('problems')">here</a>.]
Done.
Results and figures are stored in Outputs/R72_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 11050 s