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yumengch/pyPDAF: v1.0.2

Authors: Yumeng Chen;

yumengch/pyPDAF: v1.0.2

Abstract

Adding GIL aware implementation in Cython files. This is in preparation to support openMP for domain localisation in PDAF. However, small experiments suggest that turning on openMP can slow down the program because frequent release and acquirement of GIL. Therefore, by default, we do not turn on openMP. It is yet to understand the behaviour of having lots of CPUs. Bug fixes for 3DVar. This includes bugs in compilation option for legacy optimisation code, and incorrect interfaces of user-supplied functions for adjoint observation operator. improved handling of prepostprocessing user-supplied function in observation generation options. Continuous improvement for docstring and documentation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average