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R71.log
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R71.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 31.061 8.66582 53.3476 50.039 31.5766 6.38188 12.2854 30.495 61.5961 5.65768 34.5005 53.6106].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.44747 0.07084 0.044778 0.013549 0.27098 0.20736 0.45881 0.019985 -0.041502 0.079383 0.24662 -0.17619 0.047442 0.12429].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.038319 0.023693 0.16254 0.0058296 -0.11938 0.041062 -0.0159 0.17609 -0.11353 -0.086441 -0.073935 0.087168 0.0722 0.20037].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.049502 -0.1909 -0.0082497 -0.01209 0.369 0.077343 -0.034576 0.11023 0.21684 0.12019 0.077724 -0.084776 0.030944 0.4198].
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 [18.4951 17.3756 25.6354 4.0751 57.5853 36.7992 30.6225 12.436 8.72656 36.7738 59.0351 10.2813 24.8626 25.3043].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.038382 0.098561 0.031489 -0.031524 1.1604 0.58486 -0.17073 0.094776 0.094314 0.41771 0.55295 0.034301 0.40725 -0.065586].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.031961 -0.083527 0.12033 0.026718 0.17194 0.40409 0.10854 -0.060276 -0.11648 0.0036371 0.19445 0.0095383 -0.24767 -0.0076061].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0044497 -0.11544 0.15177 -0.071924 0.2904 -0.22202 -0.20519 0.27186 0.043215 -0.010244 -0.093216 -0.026605 -0.018598 0.028017].
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 [-0.11417 0.12141 0.25143 0.044118 0.38371 0.17527 -0.47071 -0.045821 0.77276 0.63167 -0.16137 1.0201 0.45081 0.056173].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.041625 -0.057523 0.23369 0.012195 0.19829 -0.043852 0.01427 0.043006 -0.036224 -0.091867 0.29032 -0.47678 -0.012132 0.010054].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.028693 0.028974 0.12814 -0.043329 0.037119 0.0019063 0.2632 -0.1221 -0.1664 -0.39341 0.13104 0.015302 -0.18267 0.088159].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.021715 -0.0066488 -0.005711 -0.028248 -0.10157 0.072246 -0.029345 -0.15482 0.09028 0.55456 0.063574 -0.005101 -0.0069392 -0.17321].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0094676 0.061763 0.00432 0.062103 0.078361 -0.15159 -0.22742 -0.059706 -0.25169 -0.10888 -0.024552 0.30433 -0.1423 0.23449].
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 [0.083109 -0.02618 -0.25967 0.021287 0.11799 0.30649 -0.065341 0.71263 -0.046444 0.39219 1.1836 0.58379 -0.74971 -0.14528].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0035373 -0.1491 0.027705 -0.13965 -0.11101 0.19607 0.19537 0.64278 0.023153 0.22367 0.0094444 -0.049824 0.82253 -0.017163].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.033462 -0.0016528 0.027206 -0.069636 0.25076 -0.048264 -0.020812 0.032301 -0.051853 0.027038 0.30644 0.037889 -0.024424 0.43775].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.028256 -0.0083354 -0.39604 0.10474 -0.55365 0.14373 -0.0035467 -0.012183 -0.086647 0.033055 0.35736 0.060336 -0.14506 0.075365].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.018148 -0.021773 0.55155 -0.10907 -0.41399 0.0983 -0.027215 0.059075 0.047994 -0.27664 -0.89321 -0.14402 0.1066 0.0030776].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.016179 -0.013635 -0.44415 0.11485 0.26993 -0.067736 -0.059273 -0.03841 -0.098424 -0.056612 -0.16143 -0.26578 0.060364 -0.048561].
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 [-0.010618 0.3186 -0.030479 0.66171 -0.42995 1.039 0.09865 0.61088 0.1599 0.40422 -0.2231 0.23869 -0.090469 0.11045].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.16034 0.015882 -0.18954 0.11933 -0.015284 -0.042542 -0.4493 0.01314 -0.014728 -0.0258 0.73173 0.45282 0.029361 0.31293].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.065604 0.14919 0.33023 0.03323 -0.022692 0.35988 -0.082322 -0.10658 -0.14055 0.088007 0.24844 -0.056357 -0.01388 -0.097551].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.2216 -0.018998 -0.12103 0.079344 -0.25527 -0.028811 0.13182 0.022261 -0.031961 -0.046952 0.16467 0.0055372 -0.015681 0.15976].
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 [0.15283 -0.1116 -0.74728 0.15899 -0.41792 -0.12949 0.23057 -0.09022 -0.17749 0.16077 1.6957 0.28903 -0.32671 0.24374].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.038998 0.012278 0.13348 -0.09511 -0.0344 0.15 0.15482 -0.18607 0.0040498 -0.16675 0.22123 0.10593 -0.013192 0.068673].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.021064 -0.028119 -0.20735 0.014186 -0.079216 -0.06581 0.1543 0.55769 -0.16088 0.085288 0.22646 -0.010361 0.49249 0.30344].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.39757 0.032817 0.080103 -0.052808 -0.0076513 -0.45443 0.06955 0.13118 -0.062174 0.087435 0.072837 -0.0031677 -0.12822 -0.27549].
# 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/R71_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 4982 s