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R69.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 [23.79298 16.75211 22.28253 5.433029 12.54635 16.20638 13.46469 6.557038 9.552513 88.20788 16.65385 10.27988 6.030835 11.30084 17.89732 0.1910876 36.86299 44.80874 58.17585 15.08225 23.61223 27.02498 159.2337 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 0.081583 -0.01818 -0.21749 0.19943 -0.00087309 0.37971 0.25001 0.71544 -0.067257 0.18597 0.20769 0.090189 1.7284 0.041816 0.35343 0.23843 0.078011 0.23929 -0.15468 -0.0025771 1.4173 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 -0.02945 -0.024772 -0.064875 -0.074438 0.096859 4.2185e-05 -0.042337 -0.1676 -0.0065499 -0.020362 0.010002 -0.10251 0.11329 0.094689 0.090698 0.011582 -0.0034702 0.26718 -0.011711 0.062833 0.51113 -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 0.033614 0.18364 0.032155 -0.48006 -0.0061626 -0.016612 -0.026474 0.013581 0.0080845 -0.02181 0.042723 0.16567 -0.13885 -0.069374 0.037059 -0.30811 0.097932 -0.11566 0.34328 -0.0098992 0.011694 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 [20.65702 25.14795 30.47555 26.36442 17.09838 21.16726 31.12178 21.73337 20.27454 38.62566 25.19585 7.232111 1.325585 13.15122 16.87716 11.7143 28.24153 44.99925 35.50758 32.21518 24.41009 51.58354 171.3583 45.31911 33.10736].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.1002 3.5596 -0.023684 0.42864 1.7294 0.92505 0.6734 1.4621 1.3882 2.2797 1.8617 0.13706 -0.17118 1.0573 0.047735 0.10924 0.35726 0.56568 3.5213 0.39032 2.4213 1.3134 2.9414 1.742 0.8766].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.45586 0.46416 0.020301 0.0010628 0.40653 -0.0501 0.11223 -0.27505 -0.59546 0.63352 0.50773 0.40836 -0.080939 -0.089864 0.067695 0.1022 0.59153 0.014868 0.38264 0.081281 0.070952 -0.070247 0.40354 0.028416 0.13663].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.080695 0.0030762 -0.010012 -0.30126 0.21392 0.020327 -0.045211 0.021451 0.0034679 0.026839 0.29713 -0.0002538 -0.021256 -0.023219 -0.025827 0.18764 1.4653 0.74853 -0.035585 -0.07619 -0.057595 0.043801 0.012783 0.032139 -0.24745].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.42742 -4.2923e-06 -0.040757 0.24553 -0.046129 0.015688 0.041186 0.0033564 -0.081872 -0.086499 0.050196 -0.016179 0.11222 -0.23657 0.073798 0.043332 0.041279 -0.18525 -0.024165 0.10348 0.35357 0.091443 -0.26031 0.035166 0.13808].
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 [0.18128 0.23656 -0.024647 0.077901 -0.14768 -0.16318 -0.51973 -0.13594 0.0064023 -0.13562 -0.10583 -0.064894 0.017416 0.37577 0.21118 0.72546 1.1155 -0.28758 -0.046584 0.70857 0.024012 0.20505 0.039207 -0.05271 -0.030088].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.050325 -0.0077527 0.66551 -0.020605 -0.015126 -0.064167 0.078012 -0.081367 -0.0976 0.10378 -0.99285 -0.16536 -0.0048306 -0.045564 0.1554 0.22512 -0.54529 -0.017522 -0.051896 -0.073749 0.58431 0.20449 0.24879 -0.35098 -0.42805].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1615 -0.038598 0.036412 -0.002841 -0.028944 -0.093455 0.22282 -0.39683 -0.054877 0.43311 0.052123 0.024287 -0.082756 -0.0069313 0.031007 0.060597 0.087795 -0.060069 0.0039588 -0.019622 0.49166 -0.10739 -0.12105 -0.07322 -0.23027].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.05187 0.00093066 -0.02125 0.058493 -0.032582 0.00895 -0.04834 -0.010789 0.07281 0.034521 -0.0013334 -0.062969 0.0008187 0.10145 -0.018144 0.10113 0.42394 -0.15218 -0.5707 -0.31682 0.037045 0.60819 -0.017946 0.16378 -0.0024038].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.40245 -0.014302 0.03233 0.0012816 -0.076623 0.037821 0.1003 -0.0069139 -0.15604 -0.07385 0.027007 0.19227 0.019632 0.031707 0.23129 0.0071769 -0.16559 0.50559 0.0048553 -0.38968 0.029495 -0.18334 0.16543 -0.34282 -0.18829].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.33385 -0.0045644 0.011903 -0.0067689 0.11282 0.0068378 -0.088937 0.041472 0.13038 -0.083548 -0.096134 0.01779 -0.04699 -0.12322 -1.0296 0.00088882 0.14794 0.68822 -0.0040046 0.33044 -0.0025189 0.095872 0.0063613 0.38953 0.2057].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.021106 0.027868 -0.15476 -0.040238 -0.1017 -0.023067 -0.30929 -0.013176 -0.09814 0.022578 -0.30415 -0.2555 0.027343 -0.0050174 -0.25272 -0.078343 -0.20125 -0.010949 -0.020655 -0.015966 0.0067968 -0.71542 -0.07733 -0.44551 -0.24116].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.04016 -0.10418 0.10352 -0.37928 0.10189 0.015235 0.2088 0.0084012 0.17894 -0.45761 0.10954 0.1919 0.034082 -0.028521 -0.25006 0.067788 0.010408 0.093035 -0.10269 -0.10066 -0.044466 0.13845 -0.11574 0.26969 0.23419].
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 [0.044319 0.017204 -0.050915 0.26723 -0.017754 -0.02117 -0.21838 -0.22779 -0.0096828 -0.15913 -0.22452 -0.0099645 0.073834 -0.022204 -0.34532 1.2928 0.063646 0.70569 -0.061019 -0.0051247 0.069528 0.39669 -0.0015375 0.34548 0.3414].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.016531 0.56361 -0.050817 0.026523 0.61758 -0.1071 -0.039115 -0.13121 0.029904 -1.0815 0.024773 0.0029345 -0.094253 0.10675 -0.32771 0.0071468 0.036411 -0.016452 0.052167 -0.29136 -0.030908 0.34717 -0.98804 0.019853 0.85339].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.07202 -0.07759 0.034229 0.20494 -0.016935 0.16104 0.013672 0.090351 -0.05666 -0.97559 -0.022142 0.0026295 0.024628 0.11597 0.016413 0.097736 -0.25912 -1.0132 -0.52811 0.14378 -0.5828 0.020113 1.6714 -0.17679 0.034894].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-1.1543 0.18692 -0.26004 -0.0028285 0.057391 0.091719 -0.25361 -0.34899 0.0080654 0.094928 0.021928 -0.0062057 -0.081365 -0.031078 -0.031091 0.48709 0.50487 -0.094422 0.5164 -0.023122 0.35951 0.066808 0.031761 0.2274 0.30867].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.095801 -0.0016912 0.30908 -0.10133 -0.076731 0.0013918 0.30796 0.42812 -0.0052433 -0.30252 -0.071796 0.0047819 0.084336 0.014559 -0.086817 0.10671 0.048126 0.52104 -0.079944 -0.026464 -0.016631 0.077582 -0.00052628 0.0062884 -0.21531].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10808 -0.040425 -0.19334 0.064296 0.061863 -0.019345 -0.29385 -0.016614 -0.047953 0.23262 -0.13458 -0.0045012 -0.013033 0.014685 0.07174 -0.15429 -0.16807 -0.010741 0.0085143 0.028707 -0.13382 0.027255 0.0031974 -0.041967 -0.01932].
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 [-0.052732 0.0056354 -0.025605 0.020682 0.0014991 0.044298 0.23833 -0.03856 -0.47408 0.16243 0.0979 0.0053662 -0.069905 0.085433 -0.027562 2.293 0.075572 0.14831 0.013784 0.0041022 -0.10009 0.32698 0.15611 -0.064345 0.17387].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.025867 0.089431 0.020629 0.14913 -0.053542 0.068142 -0.20762 -0.52593 -0.29448 0.14171 -0.060221 -0.036552 -0.0068708 -0.11566 0.056163 0.10593 0.0442 -0.31496 0.3426 -0.35721 -0.076719 0.26532 1.5877 -0.041608 0.66237].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.06686 0.056739 0.0076486 0.16887 -0.05023 0.28873 0.046022 0.11759 -0.019903 0.0097023 -0.023684 0.050093 0.017419 0.048134 -0.044279 0.045952 -0.51637 -0.0022486 -0.15395 0.52017 -0.17524 0.41788 0.056273 0.078851 0.065263].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12773 0.013676 -0.11144 0.014383 -0.0095296 -0.0035484 -0.017293 0.045931 -0.36457 -0.13548 0.34762 0.1649 0.22494 -0.12927 0.24175 -0.075684 0.40835 -0.0074062 -0.070135 -0.1487 0.02449 0.06313 0.27738 0.031151 -0.23785].
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 [-0.01467 -0.0069586 0.1366 -0.0044219 0.038702 0.67867 0.23417 0.027149 0.040086 -0.035572 0.025952 0.010751 -0.11768 0.025555 -0.18096 0.71528 0.094534 0.081564 0.91894 -0.16924 -0.0077932 0.18118 1.1251 0.4658 0.74731].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0024858 -0.050968 -0.041318 -0.031517 0.038435 -0.12406 0.043381 0.17346 0.0033108 0.1098 -0.026308 -0.098499 0.079994 -0.048795 -0.37691 0.27997 -0.061195 -0.0021155 0.43266 -0.14532 0.010174 -0.011912 2.7966 -0.095722 0.55895].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.24967 -0.14115 -0.20932 0.13366 -0.13273 0.041731 0.011898 -0.27416 0.035339 0.022174 -0.0014873 -0.061429 -0.021579 -0.0096768 -0.0054908 0.15407 -0.0028176 -0.0072346 -0.3672 -0.057725 -0.011928 -0.0063193 0.39255 -0.15155 -0.10852].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.58484 0.047382 0.22134 0.0072022 0.042245 -0.076414 0.059233 0.039705 -0.1854 -0.19047 -0.25104 0.024303 -0.010175 -0.169 -0.0036634 -0.13319 -0.30609 -0.12643 -0.35715 -0.10314 -0.17298 0.081842 0.086878 -0.31783 -0.082786].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10527 0.0039747 0.16195 0.0035874 0.02117 0.10401 -0.070783 -0.066655 -0.10602 0.1976 0.2574 -0.13741 0.012681 0.095415 -0.18299 0.11052 0.52415 0.1755 -0.020026 -0.24676 0.020387 -0.19597 0.0023953 0.24775 0.19147].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.21605 0.017472 -0.29934 -0.054173 -0.0052595 -0.0045524 0.074796 0.094387 0.26262 0.0093551 0.034842 0.06437 -0.034451 0.18017 0.19033 -0.065579 -0.33232 -0.34801 0.38965 0.3196 0.14308 -0.12052 -0.013481 -0.19112 -0.16519].
# 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/R69_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 11183 s