On the polynomial analysis and testing to data-on demand-representations

Abstract EN

Resting and analysis of polynomial functions had become one of the Important areas in numerical analyses, due to their close-representations to some of the vital information contained in data on -lemand applications.

In this paper, Polynomial regression to fit real life-data, error detecting method using polynomial code, and evaluating roots of polynomials will be addressed.

Also, the Interpolating polynomials and their applicability on data will be ECohsidered. lunis paper deals also, with the processing of the qualitative analysis |.'for typical samples related to data, as the case for data acquired from J^'helCP (Inductively Coupled Plasma) technique, in order to analyse ind evaluate the unknown samples in chemical applications, to gain ^information about the contents of the samples under-test.

^Interpolation of data had been applied and compared with the ^polynomial regression on the same degree.

Error detection capability losing, cyclic redundancy code and generator polynomial schema was Jised, on a regular basis, therefore, many generator polynomials had been used in the area of data communications.

However, the