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R77.log
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R77.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 [29.37613 14.84865 22.04978 5.525255 12.54635 16.76166 13.63498 5.221534 8.485721 86.14976 16.65385 10.27988 6.030835 11.30084 17.89732 0.1910876 36.58915 46.30378 57.47901 13.89725 22.86236 28.3458 189.0748 61.22772 55.11705].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.2995 0.41866 -0.060641 -0.0072722 -0.21749 -0.010607 -0.49345 0.0084526 -0.078156 1.1538 -0.067257 0.18597 0.20769 0.090189 1.7284 0.041816 0.045057 0.11416 0.26605 0.29959 -0.010903 0.16774 -0.045848 0.4185 -0.048739].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.015818 -0.15992 -0.018438 -0.013824 -0.064875 0.0072958 -0.04914 -0.25962 0.0096201 -0.15978 -0.0065499 -0.020362 0.010002 -0.10251 0.11329 0.094689 -0.004994 0.42611 0.28653 -0.0061215 -0.0021571 0.2154 0.082372 -0.03458 0.054816].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.25169 0.14726 0.02421 -0.11327 0.032155 -0.037469 -0.089566 -0.094714 0.0058963 0.10052 0.0080845 -0.02181 0.042723 0.16567 -0.13885 -0.069374 -0.29891 0.17178 -0.010371 -0.0017961 -0.0050737 0.22192 0.048873 0.017642 -0.0048968].
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 [24.94695 31.33813 26.19 15.7724 18.10067 27.95913 24.74927 17.324 22.18097 38.13909 20.60585 7.341999 1.948219 15.17142 12.24382 8.606882 23.97173 47.41709 19.45437 22.26678 17.07403 37.54603 202.972 46.89447 31.34075].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.0877 0.021139 0.09847 0.74989 0.2578 0.52727 -0.24643 1.3092 1.9902 0.47425 0.95258 0.84075 0.13606 0.75384 -0.10569 0.10479 3.1785 2.4543 1.095 -0.38666 0.34137 0.85815 1.7498 1.5184 1.1157].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.14372 -0.45669 -0.070766 0.094806 1.154 0.18827 -0.022542 0.25505 0.17145 -0.028203 0.38861 -0.037589 -0.10829 0.080843 0.23409 0.074123 0.1138 0.40322 -0.001555 0.36494 0.38059 0.061365 -0.028317 -0.31515 0.11462].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.022959 0.032443 -0.15787 -0.046411 0.15544 0.0056464 0.06946 -0.016623 -0.0035606 -0.12186 0.018523 0.082982 -0.33316 0.081321 0.057744 0.1159 0.33263 -0.067496 0.096862 -0.16676 0.063042 0.10158 0.80175 0.26261 -0.13476].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.051505 0.043622 -0.036294 0.10797 -0.05081 -0.064141 -0.0050897 0.061676 0.014871 -0.047962 0.1348 -0.014477 0.39038 -0.14428 -0.0046038 -0.14931 0.1615 0.067663 0.044986 0.24476 0.012226 -0.072432 0.23027 -0.077836 -0.0067502].
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 [0.27715 -0.29207 0.13818 0.12162 -0.58598 0.091604 0.25587 0.25197 -0.075443 0.4987 0.065674 -0.2261 0.16717 0.14975 -0.33274 1.2519 0.3754 0.30605 0.32772 0.1006 -0.23395 -0.037552 0.44948 0.27731 0.3266].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.096181 -0.050537 0.057309 0.09414 0.42115 -0.14594 -0.028882 -0.040735 0.065257 -0.16582 0.046936 -0.011355 -0.10043 -0.19014 0.083986 0.44872 0.358 -0.99707 0.04473 -0.4778 -0.091733 0.0001978 0.34363 -0.27392 -0.22171].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.20532 0.18464 -0.038804 0.016054 -0.14967 -0.16056 0.0092353 -0.027473 -0.16773 -0.10042 -0.022432 0.0028414 0.060056 0.28361 0.074363 0.32226 -0.062264 0.15735 0.025414 0.16683 0.045874 -0.17327 -0.17364 -0.008948 0.025174].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.070353 -0.090145 -0.11673 -0.020739 0.12945 0.22699 -0.48829 0.1734 -0.069148 -0.30344 0.017192 0.049633 0.03174 0.017073 0.051307 0.058599 -0.057493 0.16861 -0.23671 -0.10608 0.051962 0.35474 0.13696 -0.233 -0.20256].
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 [-0.28533 -0.044676 -0.096021 0.0078204 0.00883 -0.045404 0.18713 -0.017981 -0.0071286 0.0097673 -0.24423 0.0074054 0.53027 -0.047868 -0.098881 1.3089 0.26713 -0.39783 -0.13282 0.013725 -0.012436 0.068154 0.023028 -0.01955 -0.11969].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.049045 -0.26874 0.093314 -0.065003 -0.17788 -0.0012198 0.01524 -0.1428 0.25145 0.011414 0.087086 -0.032849 -0.078549 -0.045579 -0.29432 0.036385 -0.020114 0.17861 0.094905 0.043279 0.12697 0.00054437 -0.045745 0.38781 0.16182].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.096008 0.12231 0.090605 -0.23776 -0.0070221 -0.074846 0.019046 0.027292 -0.039446 0.46633 0.035105 0.0002883 -0.13465 -0.66772 0.31135 0.14637 -0.96568 -0.0556 -0.21695 -0.18484 0.026424 0.020226 0.37228 0.066166 0.56949].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15648 0.046498 -0.45657 0.54902 -0.055384 -0.36465 -0.015596 -0.094126 0.083397 -0.89985 0.022465 -0.0072658 0.061894 -0.07538 0.11114 0.33767 -0.00065229 0.43768 -0.39762 -0.26946 -0.061479 0.63457 -0.0037719 0.74159 0.10506].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28754 -0.02452 0.36067 0.15234 0.046859 0.21103 0.099066 0.11165 -0.10772 -0.015594 -0.050184 -0.10525 0.089931 0.099478 -0.31798 -0.070277 -0.071303 -0.3234 1.3023 -0.0014996 0.045849 0.0014838 0.1699 0.020913 0.082557].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.39073 0.1309 -0.54416 -0.25414 -0.030231 -0.1627 0.07237 0.049348 -0.12705 -0.078296 -0.0039978 0.10517 -0.15304 -0.0021092 0.058639 0.25994 0.031497 1.0109 -0.062545 0.27179 -0.048922 0.0313 0.039167 -0.1211 0.0069992].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.051385 -0.0027101 0.21172 0.12424 0.024002 0.30613 -0.078258 -0.26024 0.18464 0.075437 0.029231 -0.0098371 0.15638 0.0012988 0.26604 0.13601 0.043848 0.10947 0.020351 -0.20984 0.051915 -0.006676 -0.044552 -0.46737 -0.06456].
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 [-0.1697 0.011913 0.096965 -0.62534 -0.088525 -0.041342 0.10277 -0.27861 0.00048217 0.036076 0.14938 -0.2846 0.35997 0.32813 0.032766 1.4691 -0.043746 0.13909 -0.076337 -0.041489 -0.044126 -0.43614 0.34068 0.3525 -0.24366].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0081556 -0.068286 -0.35514 -0.097808 -0.22416 -0.21197 -0.37154 -0.24942 -0.036513 0.21481 -0.16985 0.046005 0.0050902 -0.062732 0.000244 -0.079762 -0.010028 0.19885 0.013645 -0.17374 0.074016 0.10165 0.048306 0.00084008 0.036908].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.052142 0.022845 0.0043372 0.20499 -0.12282 0.15239 0.053916 0.11429 -0.17468 -0.33046 0.048419 -0.021575 0.010096 -0.15251 0.14231 -0.14374 -0.34758 -0.087112 0.1481 -0.019066 -0.10995 -0.46237 0.32212 -0.08438 -0.38091].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.074434 -0.54119 0.14558 0.40281 0.091296 0.46712 -0.0023294 0.0018553 0.010283 0.15817 0.003912 -0.0082424 0.15351 -0.035349 -0.44182 0.15404 -0.31283 -0.011953 -0.24963 0.23423 -0.098689 -0.040125 -0.11868 -0.15658 -0.21756].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10777 -0.047716 -0.06597 0.0071094 -0.16215 -0.52013 0.1942 -0.0075273 -0.0029906 -0.14251 -0.21517 0.00083336 0.058995 -0.56146 0.047435 -0.15167 0.15674 0.020896 0.50314 0.092949 0.082482 -0.03599 0.06643 0.042225 0.42258].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0012328 -0.0010568 0.065338 0.13831 0.080353 -0.22646 0.033318 0.0046273 -0.0014617 -0.056323 0.16261 -0.11062 -0.0062574 0.17375 0.32718 0.15118 -0.06831 -0.1322 -0.022051 0.018871 -0.02385 0.083268 -0.025968 0.10056 -0.28097].
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 [1.8317e-05 0.15114 -0.1381 0.081014 -0.14275 -0.048813 -0.017 0.14353 0.075928 0.2264 -0.04539 0.014835 0.13708 0.043884 -0.57467 2.4749 -0.0061231 -0.02609 -0.16298 -0.14244 0.46992 0.43624 0.20845 -0.16522 0.33813].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.092567 0.11011 -0.33905 -0.012338 -0.0052284 0.13234 -0.24767 0.0058669 -0.18539 -0.18468 0.0231 -0.035787 -0.014793 -0.041333 0.012397 0.21856 -0.41119 -0.062399 -0.011765 -0.31118 -0.019444 -0.2136 0.043107 0.51171 -0.17722].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.036505 -0.042662 0.15256 -0.023102 -0.36707 -0.66315 -0.14561 0.081185 -0.31483 0.13166 0.020717 -0.00019733 -0.033041 -0.033546 0.93608 0.90491 -0.11605 -0.35086 -0.027806 -0.18084 -0.022209 -0.17432 -0.023899 -0.19829 -0.23206].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.13298 0.28788 0.37848 -0.073824 -0.19856 1.3385 -0.095059 -0.011384 0.09246 -0.12508 0.031621 0.044229 0.016635 0.10772 0.064589 -0.023745 -0.14322 0.024748 0.11274 -0.16331 0.016613 -0.14915 0.046453 0.031419 -0.027733].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.09019 -0.069762 -0.041642 -0.17806 -0.14765 -0.13456 0.079868 0.082102 -0.010205 0.15565 0.11331 0.0032389 0.020545 0.15307 -0.10265 -0.033427 0.0099876 -0.06468 -0.0077308 0.056994 -0.036522 0.22443 -0.2073 -0.0013689 0.087153].
# 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/R77_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 11066 s