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R96.log
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R96.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 [16.4358 18.6624 48.0842 6.01081 62.6259 54.8963 43.3897 4.10354 16.092 41.4476 70.6937 4.16985 37.774 25.1843].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.0077 0.17819 1.643 0.38345 0.0032009 0.13521 -0.68052 0.12191 0.35253 0.184 0.37383 0.26921 -0.097062 1.6855].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.080941 -0.13046 -0.20998 -0.049302 0.060785 -0.052125 -0.11033 -0.062976 0.21803 0.22892 0.17842 -0.032208 0.0059844 0.37332].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.018531 -0.032157 -0.12272 0.016473 -0.12189 -0.41118 0.40495 0.29386 0.10034 0.028519 -0.031126 -0.0074176 -0.0098506 -0.095571].
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 [30.28578 44.60117 128.8032 23.4798 234.4754 159.9333 147.0803 50.04455 44.42206 131.8054 153.5604 31.43406 88.74379 55.71112].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.41811 0.064394 4.5947 0.53619 4.5844 1.895 3.1264 0.82444 1.1063 2.4096 1.5364 -0.0090636 1.4529 0.50724].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.024736 -0.046516 1.3067 -0.023766 0.15008 0.28121 0.17546 -0.017839 -0.027052 0.026306 0.021127 0.0060651 -0.010179 0.17324].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.11804 -0.026386 -1.1078 0.084149 -0.27715 -0.029066 0.031148 0.0061434 -0.48288 0.37544 -0.074753 0.058752 -0.01236 -0.066472].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.01714 -0.073945 0.39474 0.10707 0.042146 -0.043659 0.093265 -0.031998 0.085737 0.36666 -0.094998 0.020347 -0.18112 0.14762].
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 [-0.028471 0.056895 1.3599 0.10411 -0.095838 0.50914 1.0091 0.094454 0.433 0.55583 0.90597 -0.071667 0.0046731 0.43139].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.01572 0.032682 0.029569 0.3654 0.034604 0.060893 -0.24044 -0.44132 0.056529 -0.34664 0.099485 -0.31644 0.067488 -0.046351].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.26781 -0.013123 -0.30902 0.0054799 0.030548 -0.0016661 -0.097417 -0.021582 -0.012569 -0.1108 -0.59306 -0.0073862 0.11038 -0.13901].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.039833 -0.29429 0.056554 -0.10662 0.0027909 0.016283 0.019407 -0.037401 -0.44921 0.63259 0.34422 -0.088769 0.0090078 -0.14238].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.04823 0.17512 -0.024886 0.091967 0.00076148 0.010204 -0.35629 -0.13661 0.19881 0.42173 -0.12107 0.027293 0.00034922 0.11186].
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 [0.31893 0.073842 -0.090172 0.00055953 0.16166 0.76913 -0.041023 0.13607 0.10834 0.8056 1.1595 0.32548 -0.070069 0.56104].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.032519 0.024931 0.19969 -0.075066 0.030846 -0.12437 0.011569 -0.085038 0.05559 0.034721 0.041986 0.047496 -0.0091499 -0.071919].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0063628 -0.1493 0.22613 -0.19481 -0.15128 -0.017713 -0.75159 -0.12667 0.15677 -0.52242 -0.064918 -0.10267 -0.48443 -0.0068323].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.068911 -0.059941 0.045472 0.026905 0.024549 0.093209 0.30334 -0.015781 -0.17965 0.11114 0.18287 -0.086564 0.21562 -0.080887].
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 [-0.12889 -0.14448 -0.060909 0.015521 0.67834 0.42372 0.16987 0.11599 -0.17889 -0.21612 -0.16161 0.034093 -0.21684 0.32087].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.091653 0.20828 0.044394 -0.19661 -0.11428 0.089562 0.072988 0.085691 -0.011722 -0.062284 -0.19491 0.036025 -0.023465 0.096075].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.058146 -0.040564 -0.077348 -0.04106 0.018174 -0.24132 0.074523 -0.24279 0.088453 -0.10618 0.42155 0.0034332 0.042898 0.00072591].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.031166 0.43388 -0.031957 0.043264 -0.090664 -0.028749 0.11262 0.042088 0.060578 0.030995 0.002122 0.01822 -0.38084 0.06404].
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 [0.078742 -0.13877 0.052642 -0.79468 -0.018637 0.30276 -0.11195 0.23563 -0.55703 -0.70107 0.71962 0.046571 0.17774 0.58568].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.1923 0.037161 -0.01622 0.28621 -0.063502 0.10793 0.16233 0.003067 -0.065749 -0.28152 0.49003 0.022626 -0.045397 0.031548].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.068592 -0.38128 -0.18312 0.019828 0.011983 -0.0037187 -0.015633 0.10736 0.057594 -0.042932 0.75503 0.0047107 -0.10158 -0.080743].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.47057 -0.017926 0.11964 -0.047996 0.12057 -0.093966 0.062977 -0.036485 -0.01111 0.16422 -0.14465 0.081809 0.052501 -0.10299].
# 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/R96_d18O_stack.
-------------------------------------------------------------------------------------------
Parallel pool using the 'Processes' profile is shutting down.
Time elapsed = 5179 s