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R74.log
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R74.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 [23.79298 16.75211 20.40292 6.196427 12.54635 16.20638 13.15171 6.557038 8.690998 88.10733 16.65385 10.27988 6.030835 11.30084 17.89732 0.1910876 36.86299 43.08099 55.22924 15.79546 23.77198 27.02498 181.7267 61.22772 50.89574].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.92216 0.035606 0.27233 0.5664 -0.21749 0.19943 0.25844 0.37971 0.29191 -0.8015 -0.067257 0.18597 0.20769 0.090189 1.7284 0.041816 0.35343 -0.38355 -0.023763 0.52429 0.18398 -0.0025771 -0.19588 0.4185 -0.007505].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.012878 -0.059008 0.093419 0.0070405 -0.064875 -0.074438 -0.0092108 4.2185e-05 0.18657 -0.8756 -0.0065499 -0.020362 0.010002 -0.10251 0.11329 0.094689 0.090698 0.076085 -0.055194 0.078554 -0.10828 0.062833 -1.1428 -0.03458 0.32621].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.00011924 -0.10886 0.017558 0.32538 0.032155 -0.48006 0.06305 -0.016612 -0.016123 -0.40032 0.0080845 -0.02181 0.042723 0.16567 -0.13885 -0.069374 0.037059 -0.014613 0.14877 0.00023762 -0.25259 -0.0098992 -0.012459 0.017642 -0.10868].
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 [20.19632 25.09143 26.73406 21.91148 17.13536 20.68231 26.32665 19.11954 17.26311 44.07153 23.83725 6.125428 1.42344 13.20393 14.10412 10.08155 26.57129 46.81615 24.79043 29.46103 16.35268 46.03302 173.5047 45.38493 33.96903].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.24736 1.7565 0.88577 2.9561 1.5051 0.69505 1.6829 0.95437 1.29 1.4202 1.1469 0.03168 -0.1723 0.5471 0.026888 0.015654 0.29666 1.5002 -0.30924 0.19578 0.12606 2.1172 5.6112 0.77778 0.87681].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0028742 0.31432 0.024233 -0.00019178 0.51226 0.50545 0.97363 -0.0059052 0.44487 -0.45317 0.75747 0.26623 -0.027738 0.11827 0.29352 0.17602 0.37384 0.0099237 0.25523 0.6369 0.30083 -0.076451 0.2763 -0.014572 0.12948].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.009119 -0.00044604 -0.19167 -0.097704 0.053786 -0.0069872 -0.10913 -0.60696 0.0029344 0.67337 0.045212 0.022562 -0.052818 -0.010342 0.3277 0.23517 -0.29537 0.016209 -0.051636 -0.052066 -0.0064539 0.29863 0.24877 -0.52243 0.15028].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.01785 -0.11827 0.1445 0.07871 0.0081901 -0.06178 0.067028 -0.010861 -0.0070954 0.10326 0.014375 -0.085967 0.010844 -0.2429 -0.066101 0.032602 0.34735 -0.24837 0.10355 0.061234 0.021259 -0.25593 0.037857 -0.070188 0.0089581].
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 [0.17302 0.0046466 0.25468 -0.040693 -0.010921 -0.46937 0.26659 -0.022849 0.083051 -0.070678 0.25044 0.087664 -0.40541 0.07151 0.084103 2.0244 -0.13524 0.33499 0.41684 0.022665 0.10366 0.67979 0.42085 -0.17963 -0.18272].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.042342 -0.18854 -0.052798 -0.1498 0.27679 0.075769 0.10946 -0.035209 0.044906 -0.011754 0.1163 0.068406 -0.14326 -0.10998 0.54814 0.41482 -0.45407 -0.38876 -0.0024296 0.11548 0.03449 0.11011 0.2236 0.040991 -0.1644].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.077081 0.11959 -0.15431 -0.0043964 -0.26714 -0.096329 -0.21149 0.063733 -0.010891 -0.012586 -0.21101 0.063545 -0.08458 0.10284 -0.023684 0.2018 -0.23418 0.031578 0.10614 0.059578 0.18763 -0.18712 0.1758 0.0072373 0.43803].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.10712 -0.083216 0.034805 0.02997 0.016744 0.57305 0.13283 0.1639 0.029673 0.16093 0.14923 0.0072191 -0.086509 0.093751 0.62798 0.30804 -0.022336 0.0025186 0.020861 -0.3526 0.36102 -0.52089 0.58025 -0.05032 0.025517].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.053945 0.04278 -0.034624 -0.14458 -0.020175 -0.11637 0.16111 -0.65491 -0.26171 -0.093652 -0.08609 -0.076823 0.079131 -0.065899 -0.026066 -0.017407 -0.0433 -0.53525 0.0017169 0.6325 -0.018914 0.54197 -0.49064 0.080662 -0.14772].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.013561 0.039839 0.091099 0.052538 -0.10487 0.1085 -0.014693 0.11422 0.14206 0.1393 0.0032643 -0.029916 0.014221 0.25835 0.03084 0.033062 -0.046047 0.1176 0.071692 -0.031243 -0.009389 -0.041823 0.51263 -0.048273 -0.31098].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.31339 -0.20228 -0.052138 -0.095048 0.14794 -0.024185 0.0215 -0.10661 -0.016238 0.13117 0.072309 -0.045943 0.020909 0.21942 -0.088589 0.043623 0.020567 -0.19265 -0.44262 0.030601 -0.2138 -0.053374 0.13414 -0.053034 0.49417].
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 [-0.64945 0.081538 0.15869 -0.052607 0.1298 0.15612 -0.18879 -0.014714 -0.079118 -0.12096 0.30499 -0.0090196 0.1199 0.29987 -0.21468 1.7861 0.093467 -0.11141 0.69559 -0.069529 -0.17281 0.073193 1.4976 0.10954 -0.94374].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.23431 -0.52079 -0.080568 -0.25372 0.043083 0.032688 0.44542 -0.0026779 -0.11124 -0.041586 -0.12107 -0.14061 0.080876 0.0044858 0.45411 0.038819 0.0091342 0.21097 -0.036759 -0.061454 -0.28733 0.32548 0.79426 0.0029601 -0.1103].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.39629 0.12191 0.061421 -0.2187 0.20514 0.014034 0.030247 -0.429 0.0018822 -0.41491 -0.072424 0.011103 0.019924 -0.027416 0.0073516 0.54126 -0.12547 -0.73696 0.23625 0.0018813 0.53455 -0.081072 0.28961 0.019141 -0.65035].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.099847 0.089034 -0.27761 -0.065934 -0.16852 -0.076867 0.074354 -0.16869 -0.037015 -0.20452 -0.021401 0.016437 -0.15863 -0.028817 -0.0066436 0.11221 0.10019 0.47666 0.71763 -0.24063 -0.043596 -0.18632 0.15667 0.20249 0.64546].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.19743 0.035507 0.22656 -0.13557 0.10697 0.29048 0.014881 0.16663 0.016771 0.063938 -0.076815 0.10867 0.17552 -0.057762 0.10165 -0.026719 0.016422 0.0095252 0.032672 0.23802 -0.05643 0.3096 -0.31196 -0.010344 -0.098221].
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 [-0.19798 0.35635 -0.1136 -0.050314 -0.14491 0.021762 -0.49041 0.4225 0.026071 -0.10562 0.056107 -0.23558 -0.0042038 0.059366 -0.077478 1.7431 0.058849 0.22614 -0.025916 -0.14454 -0.32631 0.068609 0.49836 0.30769 0.3076].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0072067 0.037935 0.07167 -0.13795 -0.042391 0.25142 0.22925 0.02634 0.00032973 0.087608 0.18154 0.0516 0.0028763 0.14642 -0.31135 0.19678 0.30619 -0.048179 0.29333 0.19666 -0.16371 -0.044001 0.28677 -0.34352 0.63079].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.016621 -0.0059549 -0.14746 -0.74302 0.29305 -0.043196 -0.38038 0.28779 0.025201 0.020615 0.24136 0.061941 -0.1549 0.023277 -0.60651 -0.20825 0.069989 0.0014471 -0.014506 -0.44421 0.034006 0.024831 0.1137 -0.25522 0.25243].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.053123 0.019353 -0.13084 0.024063 0.22607 -0.05684 0.0051913 0.0010322 -0.038749 -0.55619 -0.17447 -0.0034184 0.069032 -0.0019832 -0.64378 0.079795 -0.18411 -0.052063 -0.32946 -0.026082 0.019343 -0.093651 0.6779 -0.1645 0.17738].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.020463 -0.070845 0.0014358 -0.14609 0.022145 -0.37914 -0.018892 -0.025006 -0.18529 -0.32838 0.19368 -0.054497 0.046732 -0.0058448 1.0514 -0.042344 0.20806 -0.16515 0.35317 -0.03533 -0.042535 0.081894 -0.2587 -0.15292 0.050862].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.030668 0.27154 0.077288 0.16127 -0.2502 0.055589 0.029371 0.032271 0.21422 0.13657 0.030542 -0.12339 -0.077059 -0.2556 0.095188 -0.016384 -0.038099 0.22418 -0.029586 -0.027742 0.024898 -0.091183 0.051251 -0.14346 -0.025201].
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 [0.0074083 -0.034428 -0.092025 0.2351 -0.1867 0.0099066 -0.030163 -0.15953 -0.030998 0.24486 -0.035626 0.0058804 0.078095 -0.16593 -0.10747 1.74 0.24608 -0.067936 -0.22712 -0.12206 0.075435 0.23881 0.23501 0.27682 -0.38154].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.028815 -0.20056 0.13831 0.047544 -0.064044 -0.019882 -0.10578 -0.012495 0.012827 0.0075318 -0.099982 -0.042889 0.076212 0.22046 0.051874 0.16782 0.019248 -0.40063 -0.010122 -0.11695 0.26324 0.32245 0.0098961 0.14095 0.18549].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.17205 0.0028789 0.048462 -0.50509 -0.0041831 -0.04787 -0.083879 -0.10587 0.27785 -0.066803 0.11352 0.036066 -0.25247 0.14159 0.15969 1.0296 -0.062118 -0.33627 -0.058035 -0.14182 -0.11916 0.23363 0.11386 -0.76753 -0.022612].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.489 0.0082018 -0.067902 -0.37649 -0.1283 0.0062853 -0.036234 -0.29468 0.086601 0.010888 0.089956 -0.10957 0.15948 0.393 0.03004 0.14049 0.14332 0.13505 0.01325 0.079872 -0.051206 0.10341 0.12847 0.1869 0.17322].
# 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/R74_d18O_stack.
-------------------------------------------------------------------------------------------
Time elapsed = 10938 s