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R47.log
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R47.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 [15.627697 139.63983 28.745056 198.35329 76.636862 186.55333 15.07359 20.461104 130.71198 217.56998 27.841098 117.61179 370.87896 191.88357 365.4746 2604.7071].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.249775 0.364257 0.0248415 -0.0512266 0.0413485 0.236883 -0.00237768 -0.0393487 0.544052 0.991179 0.0170333 -0.0625793 0.715901 0.336294 2.25176 10.2891].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.010826 -0.02161 0.061266 -0.24741 0.046802 -0.049706 0.12657 0.076555 0.033005 -0.017123 0.14004 -0.036682 -0.34404 -0.074203 0.29075 1.9558].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.024282 -0.15712 0.016967 0.17769 0.00050068 0.29819 0.12617 0.0051032 0.068793 0.00068152 -0.023052 0.088093 0.039746 -0.032829 -0.76998 0.39741].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.018658 0.045004 -0.037663 -0.075057 0.0018326 -0.079396 -0.050424 0.019735 0.0036169 0.0034034 0.051932 -0.020383 0.014638 -0.038782 0.36226 0.085682].
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 [18.95615 115.879 41.65146 215.6508 53.59953 48.7638 18.20078 51.14976 117.6175 254.7628 40.08702 63.345 185.2058 115.0877 147.0218 168.1495].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.2212 0.44003 1.4822 0.056068 -0.10774 -0.022952 0.84758 0.19863 0.19672 1.286 0.54235 0.079316 0.10171 -0.055273 0.22786 2.0247].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.096838 0.15083 -0.0104 -0.029698 0.066651 0.016441 0.18977 -0.065134 -0.44123 0.066172 0.066422 -0.63311 -0.014135 0.16084 -0.11766 -0.14193].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0034545 -0.066379 0.13094 0.50547 -0.0038648 -0.17875 0.010507 0.15447 0.004488 0.39576 0.047174 0.30755 0.19088 0.044198 -0.033333 -0.0031413].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015096 0.060504 -0.12853 -0.11063 -0.0088024 0.17427 -0.0041541 -0.058256 -0.028379 0.1051 0.0091207 -0.015682 -0.020652 -0.069534 -0.16825 0.0076562].
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 [0.17074 0.12769 -0.13352 1.3944 -0.075504 1.4883 0.093666 0.68276 0.35869 1.2639 0.16498 1.1709 0.53407 0.21413 0.23837 0.51602].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.069687 -0.010474 0.050244 0.052664 -0.042452 -0.070546 -0.0030599 -0.0161 0.056814 -0.027592 0.35308 0.00058617 0.091712 0.48311 -0.507 0.13307].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.013438 0.016051 -0.17036 -0.037758 0.01345 -0.19803 0.072871 -0.17395 0.14767 -0.012112 0.014406 0.04321 0.31279 0.057752 -0.037961 0.022248].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.33318 0.10276 0.11053 0.077103 0.0021825 0.090576 -0.022744 0.022967 0.09595 0.16112 -0.0010284 0.17675 -0.18807 0.016667 -0.070241 -0.0078252].
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 [-0.061773 0.3262 -0.54657 0.032469 0.1024 0.22232 0.0078801 0.78918 0.053529 0.18716 -0.035252 0.030769 -0.0017937 -0.17505 0.22773 0.37877].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.34522 0.013093 0.089409 0.30761 -0.11536 0.078847 -0.0037921 0.73092 0.17358 0.020553 -0.023608 0.092542 -0.016335 0.031694 -0.038256 -0.22295].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0024274 -0.070959 0.052152 0.31511 0.0044554 0.016745 0.066073 -0.061039 0.052295 0.0052098 -0.015034 0.053368 0.019749 -0.19355 -0.20555 0.052523].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.14107 -0.10717 0.06894 0.16695 0.0076663 0.0082527 -0.030325 0.20211 -0.1973 -0.36057 -0.00037745 0.14301 -0.12916 0.06547 0.23678 0.028634].
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 [0.032199 0.099979 -0.68233 0.20157 -0.040491 0.083357 0.05918 0.57704 -0.03349 -0.063079 -0.36831 0.10057 -0.024553 0.11582 0.0043897 0.21766].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.16104 0.031592 0.23163 -0.053232 -0.007702 -0.058787 -0.0017827 0.063116 -0.10684 0.017618 0.13792 0.0057494 -0.19753 0.0033564 0.050424 -0.057135].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.022257 0.0040589 0.028594 -0.025462 -0.051531 -0.17981 0.010347 0.083434 0.1102 0.029307 -0.038245 -0.27626 -0.34151 0.18615 0.11356 0.2217].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.021672 0.23141 -0.049225 0.45365 -0.067054 -0.078976 -0.17285 -0.096973 -0.25098 0.36906 0.119 0.11658 0.0028529 0.0031244 0.40803 0.032574].
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 [-0.21811 -0.0069663 -0.007841 0.18643 -0.11983 0.0056015 -0.28718 1.648 0.075542 -0.35649 0.059947 -0.38779 0.17417 0.29119 0.11342 -0.19674].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.011768 0.12002 0.013306 -0.065114 -0.013486 -0.02377 -0.062267 -0.066643 -0.3784 0.34409 0.0040753 0.029239 0.91583 0.017759 0.30434 0.17671].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.094517 0.13158 0.069538 0.13198 -0.021734 0.026692 0.10545 0.1112 -0.16292 0.046253 -0.014911 -0.0084697 0.017556 0.1066 0.36304 0.1361].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0079194 0.12703 0.11343 0.094451 -0.10048 0.040333 -0.012505 0.2312 0.0038387 0.1134 0.2211 0.079767 0.025035 0.14632 -0.52445 -0.070966].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0084155 -0.12351 -0.0027054 0.001812 0.27035 -0.070772 -0.01503 0.022885 -0.0071469 0.28454 0.18746 -0.0020571 -0.0020505 -0.035014 0.26985 0.041392].
# 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/R47_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 22052 s