This assignment demonstrates polynomial interpolation using two methods: the Direct (Matrix) method and the Newton Divided Difference method. The objective is to compute the polynomial coefficients, ...

This project allows users to dynamically create and plot polynomial functions of varying degrees with user-defined coefficients and intercepts. The graph shows the polynomial curve along with the ...

while approximation is useful when you need to smooth out the noise or reduce the complexity of the function. To use the Chebyshev polynomials for interpolation, you need to first map your ...

Polynomial approximation constitutes ... innovations involving recurrence relations, rational interpolation and specialised generating functions have further sharpened these tools, fostering ...

Lagrange interpolation is a method that uses a linear combination of basis functions, called Lagrange polynomials, to construct an interpolating polynomial. Each Lagrange polynomial is zero at all ...

Abstract: The paper describes an application that allows to visualize four-dimensional graphs of a complex variable function. Three coordinates of the graph are Cartesian, and fourth is the parametric ...

Abstract: Using interpolation complicated functions can be converted into simple polynomials which are computationally simple, save time and minimize error. In this ...

Investigations into sampling and interpolation in polyanalytic ... Polyanalytic Function Theory and Hermite Polynomials Publication Trend The graph below shows the total number of publications ...

and Eulerian fractions and the set of concepts related to spline functions. The applications of generalized exponential Euler polynomials in series transformations and expansions are also given.

There are multitudes of interpolation methods using several families of functions: polynomial, exponential ... 5 The function which made its debut in the previous theorem and whose graph is the ...