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R87.log
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R87.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 [31.20184 14.06026 22.10055 4.666039 12.54635 15.62268 14.91052 4.268799 7.731503 91.49586 16.65385 10.27988 6.030835 11.30084 17.89732 0.1910876 33.60642 43.26673 56.91583 13.83312 23.37222 29.75961 168.8417 61.22772 54.07514].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.0329 0.053156 0.00048361 -0.15425 -0.21749 0.20613 0.17769 0.086841 0.087983 0.016928 -0.067257 0.18597 0.20769 0.090189 1.7284 0.041816 0.28162 0.089937 0.091694 0.19578 0.096265 0.2468 2.8218 0.4185 0.0063874].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.010667 -0.36629 0.0087578 -0.11461 -0.064875 -0.017761 0.025579 0.0067251 0.0090745 0.21081 -0.0065499 -0.020362 0.010002 -0.10251 0.11329 0.094689 -0.010985 0.021993 0.012128 -0.0010935 -0.1009 -0.037199 0.012948 -0.03458 0.026968].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10847 -0.016777 -0.051606 0.065141 0.032155 -0.032411 -0.37687 0.0027778 0.010021 -0.080746 0.0080845 -0.02181 0.042723 0.16567 -0.13885 -0.069374 -0.016825 0.15653 -0.0080764 0.18493 0.068232 -0.17837 0.042656 0.017642 0.056104].
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 [26.11801 33.58661 27.64433 18.91287 14.62555 25.9657 27.66363 14.99602 18.64451 37.12699 19.9753 7.237446 2.692891 14.93483 12.70222 8.775635 23.73529 50.08547 26.28548 27.27534 18.6086 42.05666 191.7994 46.23157 28.09237].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.6651 -0.94451 0.27019 0.97524 1.0415 0.80801 0.37034 0.28919 0.74088 0.96708 0.44023 0.61027 -0.22519 0.63741 -0.47847 -0.090847 1.6893 1.0274 1.5208 0.62993 1.8875 1.3393 1.1297 1.8492 0.035358].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.32619 -0.037568 0.49483 0.18821 0.3343 0.089353 -0.34291 0.32015 0.10015 -0.51736 0.2518 -0.055504 -0.026055 -0.03758 0.1382 0.06388 0.48449 0.10746 0.016163 0.29673 0.060273 0.061164 0.40835 -0.27767 0.46086].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.11268 -0.66558 -0.105 -0.0047992 -0.064554 0.031069 0.021468 0.018537 0.23316 0.22204 0.16063 0.063911 0.048882 0.040196 0.24546 0.84445 0.0365 0.19626 0.15302 0.38852 -0.056479 0.11078 0.21814 -0.085245 0.018601].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.017904 0.25274 0.10747 -0.045133 0.1312 -0.041959 -0.052354 0.050542 0.075196 0.0087564 0.044601 0.023492 -0.032223 -0.18153 -0.63945 0.43089 -0.13405 -0.3457 -0.011834 -0.087705 -0.068045 -0.32295 0.017679 0.14132 -0.079687].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.15729 -0.082187 0.084274 -0.009245 -0.2886 -0.063372 0.020442 -0.026808 -0.098536 -0.026442 -0.21717 -0.010688 -0.12398 0.10786 0.017204 0.13512 0.078371 0.43628 -0.17842 0.10681 0.1432 0.23993 -0.016153 -0.089545 -0.010572].
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 [0.038907 -0.12636 0.12525 0.050868 -0.16351 -0.20669 -0.052777 0.0062349 -0.027216 -0.096888 0.046495 -0.19153 0.29808 0.48723 0.12896 1.3193 0.11698 -0.39466 0.29868 -0.010283 0.014067 -0.015191 1.4652 -0.06987 -0.6815].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.49062 0.14139 0.30924 -0.12782 0.16357 -0.13173 0.42316 -0.0038354 -0.071611 0.30708 0.0196 0.0010889 0.037842 -0.08184 0.18997 -0.19877 0.10801 -0.34425 0.16712 0.01256 -0.084332 -0.062066 -0.11265 0.033268 0.032021].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0034109 -0.14577 -0.060899 -0.40294 -0.0047476 -0.14139 0.2151 0.01089 0.011009 0.012125 -0.12881 -0.032592 -0.024367 0.074738 -0.074616 0.27343 -0.013395 0.0088113 -0.053589 -0.18137 0.065729 0.085009 -0.13816 -0.33555 0.13199].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.89076 0.41752 0.068047 0.1059 -0.11596 -0.065012 0.0029616 0.091179 -0.34078 -0.0030456 -0.19934 -0.11572 0.0096983 0.025194 -0.071898 0.118 0.026489 -0.055481 -0.10891 0.30728 0.013229 0.095971 0.43097 0.089137 -0.090881].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0052181 -0.7902 -0.029541 0.048408 -0.021563 -0.19331 -0.067531 -0.015136 0.35398 -0.13256 0.11974 0.093607 -0.026054 -0.022317 0.041775 0.021523 -0.11723 -0.23671 -0.03337 -0.06594 -0.0073607 0.085312 -0.04072 -0.23592 0.11273].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.056279 0.091282 -0.18759 -0.01084 0.13611 -0.23374 0.040974 -0.0077373 -0.0089077 0.16217 0.13325 -0.033846 0.029103 0.0071222 0.021069 0.010835 0.06981 0.29043 -0.14412 0.11392 -0.0014991 -0.091929 -0.092493 0.11075 -0.20493].
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 [-0.028111 -0.040453 0.054532 -0.34881 0.058809 -0.045301 -0.024074 0.14066 0.15802 -0.17463 0.07853 -0.0013949 0.019982 -0.0012794 -0.15669 2.1185 0.13859 -0.21072 -0.068068 -0.013362 -0.013365 0.058752 -0.40291 0.52159 0.15838].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.074439 -0.092672 0.10662 -0.193 -0.12576 -0.017693 -0.092023 -0.05037 0.023499 0.34925 -0.049688 0.0023082 -0.33803 0.039539 0.16743 0.2273 -0.37307 0.79654 -0.28234 -0.037789 0.17284 -0.034838 -0.006769 1.0912 0.20792].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.25582 0.28579 -0.011735 -0.54929 0.14277 0.02856 0.061086 -0.1807 -0.19679 -0.17579 0.045637 0.044723 -0.034988 -0.1769 -0.47197 0.4644 0.048017 0.45843 -0.0074718 -0.14555 0.050868 0.077769 0.71149 0.010349 -0.60859].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15547 -0.0093779 -0.068347 0.040358 -0.048627 0.054097 -0.45743 -0.043168 -0.00096183 0.047615 -0.28733 -0.1559 -0.00064874 -0.023527 -0.41167 -0.080695 -0.063221 0.042972 0.31983 -0.080404 -0.12154 0.081488 0.029729 0.023691 0.14152].
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 [-0.031074 0.04501 0.035271 0.051254 -0.13719 -0.079275 -0.13709 -0.10199 -0.253 0.087607 -0.1348 0.019227 -0.012912 0.079629 0.15759 1.8706 0.026187 0.56018 0.27518 -0.018963 0.061278 0.52577 0.38276 0.38531 -0.231].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.25631 -0.2933 -0.017878 0.16982 -0.089775 0.18961 -0.023931 0.12683 0.039454 0.067205 0.031943 -0.33753 0.22789 0.0018095 0.081962 0.12469 -0.048218 0.016953 0.10809 -0.15802 -0.061183 -1.1592 0.3419 -0.098524 0.29881].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.15651 -0.074074 0.11083 0.2654 -0.063881 0.061801 0.021213 -0.0050776 -0.037924 -0.30156 -0.092395 -0.023653 0.099279 0.013393 -0.66527 0.48906 -0.024164 -0.29047 0.26303 -0.4009 -0.21011 0.30653 -0.0078547 -0.21586 -0.040371].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.28816 0.0059808 -0.088087 0.028036 0.10724 -0.042551 0.28027 0.070994 0.038143 -0.11741 -0.16295 0.099104 -0.022109 0.23807 0.11946 0.056626 -0.21027 -0.44398 0.020041 -0.33832 -0.10558 -0.17741 0.98713 0.24111 -0.22263].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.2579 -0.027552 -0.016107 -0.091798 -0.1681 -0.22358 -0.41151 -0.30674 0.051358 0.16181 0.15896 -0.0060742 -0.18776 -0.50979 0.42314 -0.083738 0.10693 0.36739 -0.55009 0.097024 0.090191 0.17976 0.0053034 0.042234 0.2756].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.043733 0.015166 0.10252 0.32257 0.098975 0.04949 0.21003 -0.12122 -0.16611 -0.26813 -0.32432 -0.042686 0.17774 -0.14271 -0.97027 0.12373 -0.37608 0.10355 -0.086836 0.32339 -0.05228 -0.13415 -0.0078053 -0.39553 -0.22995].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.046778 -0.0053825 -0.13642 -0.088767 -0.050827 0.1061 0.33755 0.45509 -0.10095 0.24664 0.31996 -0.08089 -0.005539 0.21332 0.1014 -0.10144 0.38534 -0.061228 -0.17411 -0.13524 0.014237 0.13925 0.0015632 -0.012817 -0.37254].
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 [-0.21501 0.065385 0.33154 -0.027262 -0.17681 0.23784 0.094563 -0.18751 -0.064863 0.22289 0.39217 5.3822e-05 0.066053 0.046036 0.17521 1.655 -0.38656 0.82809 -0.17312 -0.82216 0.57658 0.13651 0.085558 -0.10245 -0.036654].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.060092 -0.090874 0.041353 -0.027646 0.019434 -0.024314 0.019269 -0.026977 -0.016256 0.076859 0.044262 0.23906 -0.0038052 -0.024273 -0.026037 0.14354 0.46236 -0.17917 0.17846 0.063971 0.17048 -0.4604 -0.59186 -0.053182 -0.56609].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.22389 -0.42383 0.29513 0.11675 0.060775 -0.0010334 0.046311 -0.022067 0.17344 -0.16147 0.021485 -0.0083707 -0.030918 0.13799 -0.01026 0.0073358 -0.22891 0.04755 0.40748 -0.16392 -0.0062509 -0.26264 -0.077008 0.077329 -0.17301].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.26038 -0.57243 0.12755 -0.10603 -0.27736 0.053172 -0.31249 0.00038216 0.013276 0.172 -0.13576 -0.085866 0.02232 -0.35231 0.30706 0.21732 0.67915 0.033325 -0.30977 -0.011104 -0.14196 -0.14755 -0.34563 -0.5884 -0.34744].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.059006 -0.30795 -0.3684 0.005503 0.43256 0.28442 -0.036436 -0.095403 -0.057291 0.027074 -0.080077 0.091798 -0.054632 0.39669 -0.35458 -0.0064681 -0.069693 -0.18668 0.32279 0.046363 0.16037 0.19777 0.39395 0.052246 0.32022].
# 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/R87_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 10795 s