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thesis/references.bib
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@ -334,7 +334,6 @@ Publisher: Multidisciplinary Digital Publishing Institute},
author = {Dong, Junlan and Zhong, Jinghui and Liu, Wei-Li and Zhang, Jun},
urldate = {2025-02-26},
date = {2024},
note = {Conference Name: {IEEE} Transactions on Evolutionary Computation},
keywords = {Optimization, Adaptation models, Complexity theory, Equation Learner, Evolutionary computation, Evolving equation learner, Mathematical models, Neural networks, Progressive Evolutionary Structure Search, Training},
file = {IEEE Xplore Abstract Record:C\:\\Users\\danwi\\Zotero\\storage\\8PQADTZP\\metrics.html:text/html},
}
@ -585,10 +584,10 @@ Publisher: Multidisciplinary Digital Publishing Institute},
@online{amd_hip_2025,
title = {{HIP} programming model — {HIP} 6.3.42134 Documentation},
url = {https://rocm.docs.amd.com/projects/HIP/en/latest/understand/programming_model.html#programming-model-simt},
url = {https://rocm.docs.amd.com/projects/HIP/en/latest/understand/programming_model.html},
author = {{AMD}},
urldate = {2025-03-09},
date = {2025-03},
date = {2025-02},
file = {HIP programming model — HIP 6.3.42134 Documentation:C\:\\Users\\danwi\\Zotero\\storage\\6KRNU6PG\\programming_model.html:text/html},
}
@ -713,14 +712,13 @@ Publisher: Multidisciplinary Digital Publishing Institute},
edition = {1},
title = {Climate Models},
isbn = {978-1-009-08209-9 978-1-316-51427-6},
url = {https://www.cambridge.org/core/product/identifier/9781009082099%23CN-bp-14/type/book_part},
url = {http://dx.doi.org/10.1017/9781009082099.018},
pages = {126--136},
booktitle = {A Critical Assessment of the Intergovernmental Panel on Climate Change},
publisher = {Cambridge University Press},
author = {Guillemot, Hélène},
bookauthor = {Hulme, Mike},
editor = {De Pryck, Kari},
urldate = {2025-03-14},
date = {2022-12-31},
file = {Full Text:C\:\\Users\\danwi\\Zotero\\storage\\MUKXXCV9\\Guillemot - 2022 - Climate Models.pdf:application/pdf},
}
@ -777,7 +775,7 @@ Publisher: Multidisciplinary Digital Publishing Institute},
author = {Sun, Fangzheng and Liu, Yang and Wang, Jian-Xun and Sun, Hao},
urldate = {2025-03-14},
date = {2023-02-02},
keywords = {Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Symbolic Computation, Nonlinear Sciences - Chaotic Dynamics, Physics - Computational Physics},
keywords = {Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Symbolic Computation, Nonlinear Sciences - Chaotic Dynamics, Physics - Computational Physics},
file = {Preprint PDF:C\:\\Users\\danwi\\Zotero\\storage\\YBXYH5D6\\Sun et al. - 2023 - Symbolic Physics Learner Discovering governing equations via Monte Carlo tree search.pdf:application/pdf;Snapshot:C\:\\Users\\danwi\\Zotero\\storage\\D9SDYVT3\\2205.html:text/html},
}
@ -811,6 +809,22 @@ Publisher: Multidisciplinary Digital Publishing Institute},
author = {Lemos, Pablo and Jeffrey, Niall and Cranmer, Miles and Ho, Shirley and Battaglia, Peter},
urldate = {2025-03-14},
date = {2022-02-04},
keywords = {Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Computer Science - Machine Learning},
keywords = {Computer Science - Machine Learning, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},
file = {Preprint PDF:C\:\\Users\\danwi\\Zotero\\storage\\9YPFHHRY\\Lemos et al. - 2022 - Rediscovering orbital mechanics with machine learning.pdf:application/pdf;Snapshot:C\:\\Users\\danwi\\Zotero\\storage\\YIFHYWCY\\2202.html:text/html},
}
@online{amd_hardware_2025,
title = {Hardware features — {HIP} 6.3.42134 Documentation},
url = {https://rocm.docs.amd.com/projects/HIP/en/latest/reference/hardware_features.html},
author = {{AMD}},
urldate = {2025-03-15},
date = {2025-02},
}
@online{nvidia_parallel_2025,
title = {Parallel Thread Execution {ISA} Version 8.7},
url = {https://docs.nvidia.com/cuda/parallel-thread-execution/},
author = {{Nvidia}},
urldate = {2025-03-15},
date = {2025-03},
}