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R84.log
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R84.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 [20.7264 19.7386 33.3884 7.19184 58.8213 57.0113 32.0045 6.38188 14.1764 34.163 61.6418 5.65768 34.0773 53.6106].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.44747 0.07084 0.45731 0.17501 0.01415 0.19386 0.2241 0.019985 0.091433 0.17419 0.78448 -0.17619 -0.20704 0.12429].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.038319 0.023693 -0.14883 -0.086532 -0.017679 0.088044 0.27124 0.17609 0.039328 -0.068701 0.029355 0.087168 0.069246 0.20037].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.049502 -0.1909 0.65968 -0.092866 -0.029069 -0.079887 -0.06523 0.11023 0.0082838 -0.062426 -0.11548 -0.084776 -0.055927 0.4198].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.070676 0.21388 0.33574 0.10967 0.02026 0.10157 0.058024 -0.00063673 -0.016407 0.070159 -0.052238 0.0019112 0.047409 -0.38646].
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 [16.3537 15.0173 31.8479 5.79588 52.4274 38.1287 36.9793 12.8323 10.3559 41.7472 47.2587 9.3783 27.1712 27.256].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.58571 0.41531 1.2713 1.1549 -0.056868 0.11433 0.48387 0.071075 0.17425 0.36826 0.91318 -0.093509 0.053551 0.13092].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.033265 0.1118 -0.013578 -0.00065213 0.0095362 0.14869 0.30794 -0.043498 -0.10573 -0.13981 0.027624 -0.0056803 -0.046678 0.014399].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.020976 0.0004228 -0.24668 -0.22649 0.078057 0.25554 -0.052049 0.08578 -0.13201 0.00211 0.026703 0.16616 -0.010244 0.00026979].
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 [-0.017967 0.046725 -0.30683 0.57299 0.45542 -0.069822 0.17126 -0.64088 0.36347 0.41403 0.81726 1.0357 0.016438 0.055294].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.098858 -0.049006 0.68909 -0.064824 -0.26329 0.37192 -0.34503 0.37269 0.078511 -0.22261 0.03985 -0.35547 0.0066351 -0.21824].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.036482 -0.10163 -0.56543 0.21753 0.36297 -0.13976 0.11278 0.052012 0.13967 -0.16418 0.24464 0.022358 0.061586 0.42489].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.096881 0.029963 -0.42033 -0.035714 0.13855 -0.033405 -0.063503 -0.036015 0.022377 0.073897 0.57743 0.040534 0.46134 -0.0083851].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.15298 -0.26517 0.03326 -0.083797 -0.63145 0.14002 0.13171 0.086449 -0.10447 0.10011 0.057614 -0.1498 -0.028702 0.023662].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.041394 0.11389 0.21203 0.15018 -0.07529 -0.063413 -0.31134 -0.17648 0.091191 -0.0491 0.032706 -0.013682 -0.099041 -0.058857].
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 [0.087169 0.038803 0.074446 0.28302 0.021604 0.034698 -0.021427 -0.08058 0.62631 1.1022 1.555 0.23359 0.14121 -0.056261].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.065948 -0.011952 0.073365 -0.020167 -0.0082097 0.026706 0.0095139 0.40839 -0.83375 0.026539 -0.027589 -0.23198 0.057635 0.035659].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.22411 0.021552 0.01819 -0.033887 -0.17986 -0.023966 -0.035477 0.15986 -0.05209 -0.063903 -0.74555 -0.017257 0.092788 0.028808].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.023424 -0.42434 0.25956 -0.070422 -0.026857 0.026303 -0.34445 -0.024693 -0.58891 -0.58273 0.058063 -0.051249 -0.1263 0.3427].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.021167 0.51094 0.48145 0.015358 0.046349 -0.022255 0.1607 0.016439 0.12895 -0.28981 -0.43605 0.43666 0.13903 0.024425].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.23316 -0.082789 -0.357 0.16433 -0.11638 -0.1198 0.16655 -0.030163 -0.19628 0.5961 0.38539 -0.31352 -0.01737 -0.04616].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.25724 0.13674 -0.26846 -0.052623 0.1265 0.091042 -0.19116 -0.058496 0.11465 0.025934 0.08959 0.1159 0.017581 0.15127].
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 [-0.0045433 0.20995 -0.21103 0.097973 0.29436 -0.067063 0.25712 0.57594 0.41025 0.4008 1.5084 0.68439 0.19316 0.2024].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.023408 -0.088721 0.1423 -0.026949 -0.27093 0.15552 -0.069708 0.055737 -0.53939 0.13488 -1.1491 0.40753 0.198 0.37531].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.092143 -0.0086535 -0.27229 -0.061491 -0.023673 0.15951 -0.067178 0.012666 0.45013 -0.065027 -0.13284 -0.034582 0.030965 0.049715].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.011525 -0.10982 0.034298 0.011811 -0.04946 0.075237 -0.37274 0.022514 -0.09362 0.14526 0.057142 -0.52575 0.0032154 0.061308].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.082199 -0.01123 0.041511 -0.20046 0.082987 -0.016342 -0.3444 -0.015424 0.048543 0.17081 0.0034291 -0.1255 -0.00065946 -0.054176].
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 [0.11726 0.013202 -0.06104 -0.028384 -0.01315 0.61187 0.062394 -0.27115 0.2216 -0.27858 1.7923 -0.0078 0.019098 -0.077505].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.042444 0.053286 0.0024101 -0.1112 -0.040565 -0.16643 -0.63191 0.29578 0.019306 -0.16536 -0.16462 -0.22155 0.058808 0.014935].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.010364 -0.015688 -0.042846 -0.097227 0.010769 -0.045289 -0.026549 0.16728 -0.0044384 -0.16304 0.20244 -0.010756 -0.15562 0.18545].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0071119 0.1286 -0.093212 0.10962 0.0045398 -0.31249 -0.6887 0.05096 -0.05755 0.067043 -0.13725 0.047198 0.021009 0.07666].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.039071 0.042626 0.082483 -0.073755 -0.041463 0.27598 0.17603 0.019302 -0.25891 -0.20195 -0.002005 0.047008 0.00011092 -0.19089].
# 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/R84_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 5194 s