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COMPARISON OF NUMERICAL DIFFERENTIATION OF A KNOWN FUNCTION USING INTERPOLATING POLYNOMIAL AND LEAST SQUARES APPROXIMATION WITH ORTHOGONAL POLYNOMIALS
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Abstract: In this paper, numerical differentiation of a known function is accomplished by using interpolating polynomial and then by using least squares orthogonal polynomial approximation. A numerical example is illustrated to support the fact that numerical differentiation using least squares polynomial fit gives better result.
Keywords: numerical differentiation, interpolating polynomial, least squares polynomial approximation.
How to Cite:
[1] Pankaj Kumar, “COMPARISON OF NUMERICAL DIFFERENTIATION OF A KNOWN FUNCTION USING INTERPOLATING POLYNOMIAL AND LEAST SQUARES APPROXIMATION WITH ORTHOGONAL POLYNOMIALS,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2016.31138
This work is licensed under a Creative Commons Attribution 4.0 International License.