1. Interpolation produces a function that matches the given data exactly. The function then can be utilized to approximate the data values at intermediate points.

2. Interpolation may also be used to produce a smooth graph of a function for which values are known only at discrete points, either from measurements or calculations.

3. Given data points Obtain a function, P(x) P(x) goes through the data points Use P(x) To estimate values at intermediate points

4. Given data points: At x 0 = 2, y 0 = 3 and at x 1 = 5, y 1 = 8 Find the following: At x = 4, y = ?

6. P(x) should satisfy the following conditions: P(x = 2) = 3 and P(x = 5) = 8 P(x) can satisfy the above conditions if at x = x 0 = 2, L 0 (x) = 1 and L 1 (x) = 0 and at x = x 1 = 5, L 0 (x) = 0 and L 1 (x) = 1

7. The conditions can be satisfied if L 0 (x) and L 1 (x) are defined in the following way. At x = x 0 = 2, L 0 (x) = 1 and L 1 (x) = 0 and at x = x 1 = 5, L 0 (x) = 0 and L 1 (x) = 1

8. Lagrange Interpolating Polynomial

10. The Lagrange interpolating polynomial passing through three given points; (x 0, y 0 ), (x 1, y 1 ) and (x 2, y 2 ) is:

11. At x 0, L 0 (x) becomes 1. At all other given data points L 0 (x) is 0.

12. At x 1, L 1 (x) becomes 1. At all other given data points L 1 (x) is 0.

13. At x 2, L 2 (x) becomes 1. At all other given data points L 2 (x) is 0.

14. General form of the Lagrange Interpolating Polynomial

16. Numerator of

17. Denominator of

18. Find the Lagrange Interpolating Polynomial using the three given points.

24. The three given points were taken from the function

25. An approximation can be obtained from the Lagrange Interpolating Polynomial as:

26. Newton’s Interpolating Polynomials Newton’s equation of a function that passes through two points andis

27. Set

28. Newton’s equation of a function that passes through three points and is

29. To find, set

31. Newton’s equation of a function that passes through four points can be written by adding a fourth term.

32. The fourth term will vanish at all three previous points and, therefore, leaving all three previous coefficients intact.

33. Divided differences and the coefficients The divided difference of a function, with respect to is denoted as It is called as zeroth divided difference and is simply the value of the function, at

34. The divided difference of a function, called as the first divided difference, is denoted with respect to and

35. The divided difference of a function, called as the second divided difference, is denoted as with respect to and,

36. The third divided difference with respect to, and,

37. The coefficients of Newton’s interpolating polynomial are: and so on.

39. Example Find Newton’s interpolating polynomial to approximate a function whose 5 data points are given below. 2.00.85467 2.30.75682 2.60.43126 2.90.22364 3.20.08567

40. 02.00.85467 -0.32617 12.30.75682-1.26505 -1.085202.13363 22.60.431260.65522-2.02642 -0.69207-0.29808 32.90.223640.38695 -0.45990 43.20.08567

41. The 5 coefficients of the Newton’s interpolating polynomial are:

43. P(x) can now be used to estimate the value of the function f(x) say at x = 2.8.