Interpolation is an estimation of a value within two known values in a sequence of values.
Newton’s divided difference interpolation formula is a interpolation technique used when the interval difference is not same for all sequence of values.
Suppose f(x0), f(x1), f(x2)………f(xn) be the (n+1) values of the function y=f(x) corresponding to the arguments x=x0, x1, x2…xn, where interval differences are not same
Then the first divided difference is given by
The second divided difference is given by
and so on…
Divided differences are symmetric with respect to the arguments i.e independent of the order of arguments.
f[x0, x1]=f[x1, x0]
f[x0, x1, x2]=f[x2, x1, x0]=f[x1, x2, x0]
By using first divided difference, second divided difference as so on .A table is formed which is called the divided difference table.
Divided difference table:
NEWTON’S DIVIDED DIFFERENCE INTERPOLATION FORMULA
Input : Value at 7 Output : Value at 7 is 13.47
Below is the implementation for Newton’s divided difference interpolation method.
12 1 -0.1667 0.05 13 0.3333 0.1333 14 1 16 Value at 7 is 13.47
Attention reader! Don’t stop learning now. Get hold of all the important mathematical concepts for competitive programming with the Essential Maths for CP Course at a student-friendly price. To complete your preparation from learning a language to DS Algo and many more, please refer Complete Interview Preparation Course.