The phrase "mathematical processing" is correct and usable in written English.
You can use this phrase when referring to the use of mathematics to solve a problem or analyze data. For example: "The data analysis required extensive mathematical processing to draw meaningful conclusions."
Recent studies suggest that visual memory processes may be more directly important for mathematical processing than verbal memory (current study; Schuchardt et al., 2008; see also Van der Sluis et al., 2005; Szűcs et al., 2013a).
Mathematical design of experiments and mathematical processing of capillary electrophoresis data are fulfilled.
The paper reports on the methods of mathematical processing of the results of surface geochemical survey applied to petroleum exploration.
The temperature evolution pattern is then correlated to the flow rate in the tube by simple mathematical processing.
The indicative colloidal evaluations presented allowed the formulation of informative structure-surface-active characteristics correlations and mathematical processing with correlation coefficients R2 ≥ 0,58.
The resulting experimental database enabled the mathematical processing and the determination of the nature of the dependence equations (linear, logarithmic, exponential or polynomial) with the maximum correlation coefficient.
At the start of first grade, we administered measures of numerical processing (digit naming, symbolic numerical magnitude comparison, nonsymbolic numerical magnitude comparison) as well as measures of intellectual ability, preschool mathematical abilities, working memory and processing speed.
The applied mathematical data processing enables the researcher to eliminate the "noise" and to select objectively the anomalous values.
Therefore to test and compare this algorithm, averaging conflict aggregation algorithm is proposed that requires fewer mathematical information processing steps.
Minor discrepancies between the pore characteristics determined by both techniques could be explained by a difference between real pore shapes of CER structures and circular ones used for the mathematical data processing in SEM analysis.
The previous methods have mostly attempted to modify the architecture of SDM A/D converters in order to ensure improved A/D converter performance, while the proposed iterative approach exploits a mathematical signal processing algorithm to achieve the same goal.
