Newton polynomial - Wikipedia
https://en.wikipedia.org/wiki/Newton_polynomialFor any given finite set of data points, there is only one polynomial of least possible degree that passes through all of them. Thus, it is appropriate to speak of the "Newton form", or Lagrange form, etc., of the interpolation polynomial. However, the way the polynomial is obtained matters. There are several similar methods, such as those of Gauss, Bessel and Stirling. They can be derived from Newton's by renaming the x-values of the data points, but in practice they are important.
Polynomial interpolation - Wikipedia
https://en.wikipedia.org/wiki/Polynomial_interpolationThe Lagrange form of the interpolating polynomial is a linear combination of the given values. In many scenarios, an efficient and convenient polynomial interpolation is a linear combination of the given values, using previously known coefficients. Given a set of data points where each data point is a (position, value) pair and where no two positions are the same, the interpolation polynom…
METHOD OF QUADRATIC INTERPOLATION
people.math.sc.edu › Quadratic_Interpolationmotivates calling (2.7) the secant method, because it is just Newton’s method with the secant approximation of f00(x k) instead. 2.3. Method 3. Our third method is the 3 point method. Choose 3 points, 2 endpoints to bracket our critical point, and then a point within the interval as well. Using the Lagrange Interpolation formula, we can ...