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R94.log
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R94.log
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MATLAB is selecting SOFTWARE OPENGL rendering.
OMP: Warning #182: OMP_STACKSIZE: ignored because KMP_STACKSIZE has been defined
< M A T L A B (R) >
Copyright 1984-2023 The MathWorks, Inc.
R2023a Update 4 (9.14.0.2306882) 64-bit (glnxa64)
June 19, 2023
To get started, type doc.
For product information, visit www.mathworks.com.
Starting parallel pool (parpool) using the 'local' profile ...
Connected to parallel pool with 36 workers.
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 [6.89299 9.92463 7.97481 0.84742 19.5081 17.1926 4.5228 13.9725 6.5844 6.33606 26.4849 4.67061 8.06678 33.5349].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.31708 0.59852 0.6438 -0.31893 0.85447 -0.17828 0.0084432 0.55969 0.70401 0.38393 1.9191 0.15595 -0.53488 -0.10196].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.16319 -0.10405 -0.1738 0.001515 -0.3024 0.30345 -0.21717 0.059363 0.35447 -0.73289 0.0042652 0.021119 -0.011121 -0.10325].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.27942 0.23871 -0.02305 0.067063 -0.35148 0.25351 -0.14871 0.16047 -0.1429 -0.18225 -0.26064 0.10178 -0.24897 0.053831].
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 [3.22312 5.2167 10.0907 3.46491 12.0905 7.43701 7.3012 1.27202 3.23821 16.4939 18.3645 2.92813 5.07526 6.14739].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.3304 0.032344 -0.13896 -0.12124 0.54361 -0.011046 0.54189 0.12316 0.16235 0.73659 -0.48121 -0.091906 0.74553 -0.054867].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1064 -0.063194 1.3716 -0.23496 -0.40944 0.20863 -0.26255 0.62942 -0.026761 0.036874 -0.052148 0.073074 0.29539 -0.037662].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.072547 0.006272 0.064981 0.20702 -0.23965 -0.39951 -0.036356 0.31911 0.27977 0.12876 -0.40026 -0.054883 0.0072655 0.013145].
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 [-0.024363 0.94501 -0.042618 0.060913 0.0058669 0.045152 0.21195 -0.035515 0.035697 1.1528 0.84654 0.69703 0.12949 0.46524].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.034339 -0.17909 0.067153 0.24463 -0.42424 0.16274 0.049114 0.029725 0.15733 0.12595 -0.032355 -0.041575 -0.055862 -0.0021834].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.2408 -0.16836 -0.057225 -0.078821 0.42451 -0.36466 -0.003772 0.16046 0.0095259 0.043532 0.39951 -0.095954 -0.053412 0.08919].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.037199 -0.013568 -0.15362 0.19064 -0.0097346 0.10638 -0.12551 -0.21971 -0.064593 0.44769 0.033855 -0.05896 -0.0045427 0.11204].
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 [0.085125 0.20901 -0.15821 -0.20971 -0.045631 -0.023991 -0.12984 0.097727 0.51104 0.3055 0.133 0.75088 -0.87939 0.068982].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.070371 -0.11382 -0.054149 0.22761 0.057039 -0.49354 0.61573 -0.023533 0.37928 -0.054378 -0.051071 0.26733 0.022523 0.0013413].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.00057836 -0.10489 -0.28896 0.0026659 0.53113 -0.29783 -0.070085 -0.32623 -0.20376 -0.21463 0.58888 0.15971 -0.021503 0.068686].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0085253 -0.02658 0.087648 0.12778 0.068514 -0.0482 0.012128 -0.26668 0.060738 0.0075764 -0.63542 0.15882 -0.011539 0.1093].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.049262 0.052423 -0.056864 -0.062232 0.051067 -0.7688 0.067906 0.27782 0.041375 0.00047905 0.034806 -0.1462 0.0076563 0.0091268].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.015592 -0.14217 -0.29452 -0.1003 -0.10972 0.37652 -0.089895 -0.10859 -0.12572 -0.0011943 -0.021097 0.09332 -0.0103 -0.035771].
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 [-0.20644 -1.3971 0.20191 0.21421 0.066413 0.1093 -0.15481 0.56452 -0.40143 0.2392 -0.1062 0.8626 0.058069 0.34028].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-1.1337 0.14422 -0.34684 0.028219 0.030342 0.075218 -0.016266 0.022443 0.50632 0.053628 -0.19482 0.11468 0.27347 -0.043736].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.09394 -0.079482 -0.2782 -0.054183 -0.078188 -0.11828 -0.025998 -0.092006 -0.30853 -0.47921 -0.11589 0.67844 -0.15735 -0.2323].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.06395 -0.16304 0.011722 0.10036 -0.036309 0.069645 0.26197 -0.46495 0.48374 0.090537 0.060096 -0.39208 0.16141 -0.12546].
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 [0.013675 0.097067 -1.008 0.12868 -0.016356 0.033595 0.1873 0.0042902 0.19452 0.066074 0.37283 -0.28525 -0.1847 0.16843].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.024782 0.28411 -0.032795 0.22213 -0.074925 0.19351 0.029304 -0.00099855 0.088517 -0.25336 -0.63645 0.093866 0.068448 0.0075986].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.10765 0.033515 0.1003 0.084755 0.040174 0.22123 -0.0058223 0.0046212 -0.20088 -0.17645 0.23358 0.18586 0.016158 0.068491].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.016869 -0.54682 -0.017457 0.00055949 0.21101 -0.5899 -0.025282 -0.017938 -0.032212 -0.16349 0.018338 0.022226 -0.69344 -0.27097].
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.16414 -0.023288 0.035819 0.0029021 -0.03371 0.93551 0.028645 -0.035738 0.023251 0.056716 -0.032321 -0.0097323 0.3302 0.21735].
# Iteration 6:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.12639 -0.20926 0.019848 0.0024015 0.043659 -0.081859 -0.32454 -0.20176 -0.067258 -0.10913 -0.18604 0.01182 -0.50991 -0.048915].
# Iteration 7:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.24971 -0.074285 -0.031514 -0.003668 0.0029808 -0.096463 0.32131 0.26522 0.082029 0.1341 0.20981 -0.052787 0.12294 -0.0028383].
# 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/R94_d18O_stack.
-------------------------------------------------------------------------------------------
Parallel pool using the 'Processes' profile is shutting down.
Time elapsed = 5231 s