Notes on Newton's Forward Formula for Interpolation
Introduction to Interpolation
Definition: Interpolation is the method of estimating the value of a dependent variable (Y) for an intermediate value of an independent variable (X), given a set of X and Y values.
Function Representation: Y is represented as a function of X, denoted as Y = f(X).
Example of Interpolation
Given a table of values for X and corresponding values for Y, we may need to interpolate to find Y when X = 4, which lies between X = 3 and X = 5.
Goal: Find f(4).
Terminology
Independent Variable (X): Also known as the argument.
Dependent Variable (Y): Also known as the entry.
Methods of Interpolation
Newton's Forward Interpolation
Newton's Backward Interpolation
Binomial Method
Lagrange's Method
Equidistant vs. Unequal Intervals
Interpolation can be applied to both equidistant and unequal intervals:
Equidistant: Use Newton's Forward or Backward Interpolation.
Unequal Intervals: Use Lagrange's Interpolation.
Identifying the Method
Use Newton's Forward Interpolation if the value to be interpolated lies in the forward direction of the table.
Use Newton's Backward Interpolation if it lies in the backward direction of the table.
Binomial Method: Used for finding missing terms in the table of X.
Newton's Forward Interpolation Formula
Formula: The general formula for Newton's Forward Interpolation is: