The phrase "arithmetic processing of" is correct and usable in written English.
It can be used in contexts related to mathematics, computer science, or data analysis where you are discussing the manipulation or calculation of numerical data.
Example: "The software is designed for the arithmetic processing of large datasets to ensure accurate results."
Alternatives: "numerical computation of" or "mathematical manipulation of".
Taken together with previous studies, our findings suggest that a distributed network, including the bilateral inferior parietal region and left inferior frontal gyri, is activated for numerical and arithmetic processing, irrespective of input formats (visual or auditory), language backgrounds, and whether the first or second language is used.
The study contributes to better understanding the specific cognitive deficits in early PD and the neurocognitive architecture of arithmetic processing.
As suggested by the specific activation patterns, newly acquired expertise was implemented in previously existing networks of arithmetic processing and memory.
More specific measures of arithmetic processing such as the Arithmetic Test (Seabra et al. 2010) and the Neuropsychological Battery for the Assessment of Numerical Processing and Calculation Skills in Children-ZAREKI (Silva and Santos, 2011) are also available.
Our results indicate that different cognitive styles do not lead to a difference in arithmetic processing in the brains of skilled adults.
As a further demonstration of arithmetic processing we execute directly a hexadecimal computation, specifically the sum 516+B16 (= 1016; remember that the basic hexadecimial digits are represented by 0, 1, 2 …..9, A, B, C, D, E, F).
In general, time domain correlation-based parallel solutions require massive amounts of very simple arithmetic processing and are not very practical to be implemented in software.
If the operations are performed by an arithmetic processing unit (APU), the energy consumption of the k th operation can be modeled as[6] Ɛ k = V dd I o Δ t k, (7).
As pointed out by Ovshinsky, 9, 10 some phase-change materials, such as GeSbTe, should also be capable of non-binary arithmetic processing, multi-value logic and biological (neuromorphic) type processing.
