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Efficiently cleansing unstructured data, reducing noise and managing the scale of highly mutable data… a challenge.
Moreover, using functions with local state, we are able to implement mutable data types.
With mutable data, methods called on one name can affect another name at the same time.
Mutable data allows us to simulate systems with change, but also allows us to build new kinds of abstractions.
Like mutable data structures, objects have local state that is not directly accessible from the global environment.
However, existing approaches to dynamic replication for such mutable data remain centralized, thus incompatible with these systems.
Similar(43)
Mutable FD data was reported as per month rates of falls and hospitalization; total IADL scores (presented as continuous data, and also cut at the median value); and binary data on use of gait aid, receipt of community services, requiring a carer, and living alone at home.
The mutable account data type below is implemented as a dictionary.
We present a denotational model of impredicative Hoare Type Theory, a very expressive dependent type theory in which one can specify and reason about mutable abstract data types.
Consistency is the motivation behind the dichotomy between mutable and immutable data nodes.
Although it is regarded as a best practise to favor immutable data structures over mutable ones [4], imperative code is typically full of reassignment operations since these provide a convenient way to update fields in complex data structures.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com