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Cellular computing architectures represent an important class of computation that are characterized by simple processing elements, local interconnect and massive parallelism.
Moreover, the asynchronous iteration execution significantly improves the time making the proposed incremental iterative approach the best choice for this class of computation.
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More recently, big data workloads have created a need for a new class of computations consisting of many short computations taking seconds or minutes that process enormous quantities of data.
We present the rationale behind the classes of computations we consider, and discuss the relationships among them.
We show that several other notions of an answer set proposed in the literature for programs with constraints can be obtained within our framework as the results of appropriately selected classes of computations.
In order to account for this observation, Emde Boas (1990) introduced a distinction between two classes of models of computation which he labels the first and second machine classes.
We present a new general class of methods for the computation of high-dimensional integrals.
This complements the previous development of a local analysis method for this class of systems, which allows computation of trajectories through any sequence of domains.
This is an indication that the h-index provides a good estimate for the relevance of a class for the computation of the semantic similarity between two classes.
As a class of one-sided two-party computation, unconditionally secure symmetrically private information retrieval (SPIR) is impossible.
As mentioned previously, CPS is a new class of systems that tightly integrate computation, networking, and physical objects.
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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