INTERPOLAÇÃO POLINOMIAL - FORMA DE NEWTON | 09

Polynomial Interpolation: Newton's Divided Differences Polynomial Interpolation. Newton's Form. Error Estimation Polynomial Interpolation Polynomial interpolation aims to approximate functions (tabulated or given by equations) by polynomials of degree up to n. This is intended to facilitate the calculation of functions at non-given points (interpolation means calculating non-given internal points). What is Newton's Form? Newton's Interpolation, also called Newton's Form, is another way to approximate a function by finding its interpolating polynomial. How to calculate the interpolating polynomial? Since the set consists of 4 points, the interpolating polynomial must be of the form: p ( x ) = a 0 + a 1 x + a 2 x 2 + a 3 x 3 . whose solution is a 0 = 1 , a 1 = 6 , a 2 = 0 , and a 3 = − 1 . Therefore, the interpolating polynomial is p ( x ) = 1 + 6 x − x 3 Newton Form - Interpolation Newton interpolation solved exercises, Newton polynomial interpolation, Newton interpolation online, Lagrange polynomial interpolation, Newton divided difference method algorithm, Newton interpolation python, Newton interpolation polynomial, Online polynomial interpolation, Become a member of this channel and get benefits:    / @murakami.   Now on the Rapidola Mathematics channel, you can become a member of the Basic Statistics and Applied Statistics teams.