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R23.log
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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 [56.4467 68.6504 26.3683 53.8519 8.43035 58.6215 70.1099 57.2869 4.07846 10.0616 35.1724 14.7129 46.6878 91.2845 9.6235 1.84694 40.6656 43.5586 21.5489 8.96958 8.95757 7.99804 40.2197].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.27614 0.41907 0.53724 0.24382 0.32632 1.5603 3.3341 0.61394 0.026789 0.53047 0.71311 0.34971 1.3562 1.2115 0.36467 -0.7424 1.1432 1.7653 0.074768 0.27646 0.027736 0.30032 1.3249].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.049691 -0.13004 0.45478 -0.12601 0.025218 0.16553 0.12132 0.044777 0.16569 -0.53656 0.058639 -0.19855 0.01402 -0.45659 -0.11691 0.47479 -0.073563 0.12895 -0.0044788 0.049756 0.33384 -0.0053332 -0.36363].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15215 0.039543 -0.214 -0.020181 0.045245 -0.054174 0.016553 -0.1891 0.087653 0.10501 0.021867 -0.050762 0.024265 0.14737 0.048441 0.052859 0.084346 0.16245 0.073742 0.0041846 0.065882 0.0073209 -0.036902].
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 [173.7172 135.974 131.5301 105.3541 13.53322 145.939 114.1482 90.56637 28.61556 18.43769 50.25724 21.76083 103.0795 218.159 23.88545 13.81414 68.30682 66.34493 28.94575 27.36502 6.793512 12.8941 123.5476].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [5.68691 12.3763 5.63203 1.96963 0.549875 10.7576 3.97962 4.95951 0.267612 0.722501 2.77462 0.387773 5.30962 4.13275 -0.151752 1.66612 1.07046 4.14795 1.8538 0.437428 0.541486 0.213322 9.30226].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.074869 0.68339 0.15565 0.16003 0.032902 0.7597 0.13934 0.26355 -0.33893 1.3043 -0.42277 -0.15443 -0.11343 -0.73438 -0.059085 0.55396 -0.52646 0.38205 0.038385 0.069442 0.055976 -0.0050408 0.12315].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.069186 0.0071838 -0.086964 0.12702 0.10402 0.022396 0.51945 0.19302 0.23522 -0.17174 0.083825 0.034512 0.19365 -0.017742 0.51448 0.026405 0.008531 -0.3904 -0.16821 -0.097788 0.084389 0.1537 0.12278].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.059822 -0.014171 -0.047079 0.0031579 -0.40711 0.51025 0.11116 0.17539 0.0032605 -0.17848 -0.035792 -0.024869 -0.02812 -0.087324 0.10261 -0.041616 0.0072012 0.13901 0.32462 -0.10969 -0.0080465 -0.10244 0.012598].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.14424 0.0040914 0.20822 0.0058442 0.27583 0.10054 -0.023899 -0.21775 -0.006604 0.39324 -0.20968 0.089143 0.037866 -0.056178 -0.30886 0.015382 -0.10254 0.35056 -0.15613 0.069302 0.0040468 0.020348 -0.0048796].
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 [1.365 0.23009 0.20748 0.15436 -0.062043 1.1694 1.106 0.38407 0.28262 -0.23953 -0.14459 -0.0046538 -0.69482 1.2062 0.10178 0.38192 -1.4451 0.45987 0.21731 -0.042469 0.070519 0.010817 2.4099].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.012305 0.21165 0.22822 -0.048096 -0.11513 0.14807 0.054131 0.37969 -0.1476 0.31646 -0.003304 -0.010951 0.061586 0.54082 -0.40653 0.19152 -0.27243 0.036359 -0.32875 -0.0032648 -0.055947 -0.081213 0.19295].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.090654 0.17711 0.18645 -0.19062 0.010154 0.028349 0.043672 0.20645 0.13174 -0.085552 -0.067758 0.079293 0.50349 -0.030428 0.19329 0.017495 -0.077201 -0.13393 -0.014013 0.043624 -0.056909 0.0026399 0.33345].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.29875 -0.1857 -0.04571 0.33729 -0.0026911 -0.09632 0.40987 0.018447 -0.0094155 -0.13111 -0.70181 -0.94494 -0.082554 0.15155 -0.00030621 0.15691 -0.16305 -0.050519 -0.032705 -0.21116 0.10761 0.04797 0.14111].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.030304 0.3258 0.079428 0.26481 0.014048 0.030934 0.035197 0.0026435 -0.073638 -0.17782 0.66569 0.28845 0.052552 -0.00073574 -0.045553 -0.21221 0.24906 -0.089909 0.0062074 -0.4301 0.050169 0.0035859 0.013124].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.14543 -0.13718 0.09832 -0.16045 -0.14452 0.0026751 -0.077508 -0.0079999 0.055888 0.52288 -0.022605 -0.21248 -0.014944 -0.012612 -0.046439 0.10847 -0.25574 -0.14864 -0.014027 0.4969 -0.16951 -0.024187 -0.025926].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.06539 -0.59972 -0.13843 -0.34621 0.00018675 -0.10907 0.097773 -0.032159 -0.05684 0.27177 -0.010328 0.2953 0.0046867 0.0079532 0.10998 0.068956 0.17292 0.23898 -0.051439 0.166 0.17979 -0.050361 0.044852].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.57644 0.5886 -0.048615 0.44682 0.072339 -0.012937 0.074726 -0.082481 0.088903 -0.12019 -0.060635 -0.2535 -0.091774 -0.00083211 -0.011452 -0.041705 0.052486 -0.85369 0.056675 -0.31118 -0.071958 -0.029597 0.023585].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.20167 0.10042 -0.18404 -0.10742 -0.079721 0.16318 -0.11606 0.12114 -0.095622 0.086628 0.012222 -0.11793 0.099962 -0.026739 -0.082113 -0.082032 0.013678 -0.60457 -0.010274 0.35324 -0.031126 0.062127 -0.43989].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.24242 -0.1052 0.28621 0.011152 0.13795 0.0060211 0.16104 -0.073947 0.043849 -0.040474 0.048192 -0.32015 0.0068169 -0.037966 0.045191 0.03784 -0.047859 -0.027555 0.017259 -0.28648 -0.050059 0.017429 0.33797].
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 [-0.083415 -1.0005 0.011877 -0.11353 -0.034928 -0.36029 -0.043339 -0.038222 0.36616 -0.015842 -0.035891 -0.027263 0.021341 -0.89733 0.030995 0.0018685 0.14323 0.082883 -0.12917 -0.041313 -0.070543 -0.0025001 0.40157].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.15819 0.12685 0.1159 -0.19005 -0.076791 -0.037359 -0.21029 -0.073914 0.0090335 0.17372 -0.30976 -0.022334 -0.19074 0.39641 -0.020926 0.0039339 -0.38384 0.23783 -0.59814 -0.1271 -0.061254 0.17434 0.4075].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.032603 0.052448 -0.06541 -0.4868 0.0017307 -0.0025176 0.054149 0.016256 -0.31588 0.18181 -0.43805 -0.075284 -0.10035 -0.15974 0.0016471 0.24485 -0.42588 -0.068568 0.49755 -0.13162 -0.046407 -0.074407 0.92228].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.015133 0.40333 -0.03736 -0.74674 -0.17436 -0.27707 -0.089487 -0.29246 0.14676 -0.062414 0.054835 -0.69446 0.20896 -0.29705 -0.17191 -0.057427 -0.011163 0.1141 -0.16629 0.23141 -0.040797 -0.079623 -0.20797].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.022266 -0.75325 0.0080477 0.37356 -0.32169 0.2716 -0.12053 0.26923 0.004918 -0.050534 0.0026309 0.93679 -0.0037325 0.40413 0.10277 0.043887 -0.11991 -0.064951 0.072939 0.38223 0.025769 -0.068794 -0.16939].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.056869 -0.30747 0.034528 -0.11823 0.4737 -0.034803 -0.24982 -0.048043 0.07758 -0.12181 -0.056575 0.19978 -0.016665 0.04886 0.11972 -0.0025023 0.14819 0.17194 0.12233 0.20761 0.0038357 0.028912 -1.0162].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0067906 0.29412 -0.27843 0.15577 -0.14808 0.038913 0.34139 -0.16461 0.037748 -0.18091 -0.067417 -0.23712 0.015348 0.018617 -0.080704 -0.018675 0.016812 0.041675 -0.19973 -1.1745 0.0087272 0.085945 1.9007].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.085151 -0.046608 0.2122 -0.19285 0.15863 -0.10264 0.16591 0.20746 -0.05679 0.14568 0.11825 0.11905 -0.0087533 -0.45705 0.094846 0.11323 -0.10328 0.012031 -0.031146 0.046701 -0.031113 -0.0094586 -0.044643].
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 [-0.24169 0.493 -0.042202 0.060606 -0.028332 0.78688 -0.045031 0.1263 0.361 -0.11072 0.51593 -0.16595 0.0092086 -0.019527 0.05676 -0.025019 -0.19975 0.28306 0.0097827 -0.025687 0.013299 0.03103 -0.95055].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.081867 -0.82112 -0.25302 0.030371 0.4886 0.085243 0.023903 -0.28604 0.93354 -0.16833 -0.41376 -0.15162 -0.014952 -0.032397 0.047379 -0.030083 -0.057666 -0.1503 -0.090882 0.13661 0.060982 0.0056123 0.31935].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0015472 -0.001659 -0.027467 0.020897 -0.052761 -0.075315 -0.065222 -0.050565 -0.004849 0.011026 0.030228 0.093103 -0.5278 0.19056 -0.0055962 0.042864 -0.038095 0.086173 0.03667 -0.0088318 0.0007806 -0.044139 0.19126].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0034835 0.0062326 -0.0047479 0.0055602 -0.61873 -0.15669 0.11433 0.029678 -0.019545 0.082647 -0.016802 0.032823 -0.0062786 -0.83067 0.08529 0.00099916 0.10872 -0.2804 0.16744 0.011262 -0.03605 -0.033941 -0.16588].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.42967 0.067605 0.011059 -0.047194 -0.02947 0.063055 -0.23856 -0.067841 -0.031863 -0.0040941 0.15758 0.0085163 -0.010575 0.054267 -0.0095688 0.038012 -0.42148 0.85514 0.075974 -0.0014971 0.027318 0.049898 0.13376].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.3903 0.018041 0.0012533 -0.047497 0.050351 0.037686 0.17657 0.025315 -0.090456 0.0033478 -0.045725 0.02708 -0.022298 -0.14953 0.017808 0.016127 1.0178 0.33908 -0.031418 -0.079776 0.0049596 0.014466 0.075486].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.055071 -0.053281 -0.0021253 -0.11175 -0.054019 -0.010143 -0.096346 0.019502 -0.00093703 -0.021315 0.047827 0.015166 -0.04497 0.048013 -0.019554 -0.019194 0.10638 -0.28823 0.013879 0.080057 0.00010045 -0.074311 0.013828].
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 [0.046817 -0.0023756 -0.00037232 -0.16603 -0.10724 -0.0061432 -0.050849 0.28718 -0.28526 -0.23295 -0.096017 -0.018826 -0.19214 -0.11749 -0.15505 0.31595 -0.029033 -0.14386 0.027687 -0.037431 0.03386 -0.046947 0.32912].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.076354 0.20218 0.22566 0.0070846 -0.26437 -0.0041706 0.24006 0.032482 -0.32352 -0.11179 -0.35479 -0.0070183 0.14014 0.4248 0.072395 -0.11191 -0.02688 -0.16417 -0.18322 0.047191 0.0044204 0.14471 -0.03857].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.056932 0.01883 -0.022202 0.1469 0.11821 0.14995 0.12062 -0.060468 -0.098427 -0.029935 -0.41991 0.041467 -0.36682 -0.021662 0.13179 0.028594 -0.70627 -0.57387 -0.10802 -0.21251 0.0027818 -0.22636 0.15449].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.45516 0.62741 -0.064514 0.0026143 0.0083188 0.34942 0.12436 -0.0031554 0.041793 0.05677 -0.026235 0.0325 -0.021677 0.10607 0.11934 -1.0352 0.31209 0.42008 -0.14499 0.64992 -0.0153 -0.044581 -0.040512].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.077886 0.28439 -0.48431 -0.040789 -0.13013 -0.22533 0.1119 0.2383 -0.10225 -0.3318 -0.01301 -0.048262 0.063518 -0.75952 -0.21599 0.10934 0.51165 0.29944 0.079066 -0.13191 -0.002509 -0.015227 -0.019039].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.75302 0.015265 0.41975 -0.22692 0.089176 0.17634 -0.16184 -0.085721 0.079036 0.33284 0.0049169 -0.05066 -0.29614 0.14939 0.065873 -0.0094582 0.0075689 0.12302 -0.015066 0.14262 0.014297 0.059109 0.0021519].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0043518 -0.055804 -0.040107 0.27436 -0.1439 0.036104 0.09563 -0.018647 -0.0049433 -0.063463 -0.066717 0.097101 0.12331 -0.033932 0.11082 -0.0080055 -0.021896 -0.58898 0.080602 -0.014562 0.0059509 -0.013695 -0.033995].
# Iteration 8:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.056436 0.014273 0.2192 -0.043623 -0.43859 -0.26871 0.059491 -0.20825 -0.046865 -0.10238 0.016384 -0.0081195 0.16947 0.046304 -0.13979 -0.041724 -0.0019273 -0.40913 -0.050099 -0.020634 0.0014441 0.014153 0.07227].
# 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/R23_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 10891 s