How to Determine the Best Interpolation in Newton Forward Difference Method?

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SUMMARY

The discussion centers on determining the best interpolation using the Newton Forward Difference Method, specifically for the function sqrt(x) at points Xi=1, 1.05, 1.10, 1.15, 1.20, 1.25, and 1.30. The best interpolation is identified as P3(x), which is determined by constructing a difference table and observing when the values stabilize or meet the required accuracy. The concept of "best" interpolation can vary, with definitions including minimizing the sum of absolute errors, the maximum error, or the root mean square error, each having specific applications.

PREREQUISITES
  • Understanding of Newton Forward Difference Method
  • Familiarity with polynomial interpolation
  • Knowledge of error minimization techniques
  • Basic calculus concepts, including integration and limits
NEXT STEPS
  • Study the construction of difference tables in Newton Forward Difference Method
  • Learn about different definitions of interpolation accuracy
  • Explore error analysis techniques in numerical methods
  • Investigate applications of polynomial interpolation in real-world scenarios
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Students and professionals in mathematics, numerical analysis, and engineering who are interested in interpolation methods and their applications in data approximation and error analysis.

angel23
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in Newton forward differece method.
how can i know that i reached the best interpolation?

for example in a function like sqrt(x) for Xi=1,1.05,1.10,1.15,1.20,1.25,1.3

the best interpolation is at P3(x) why?how can i know?
this really makes me conused:confused: :confused:

if anyone helped me i will be grateful
 
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in Newton forward differece method.

Asalam o Alikum

Mr ,
Value of f(x) at that point define you where the best interpolation between the point is exsist
 
simply you construct the table and you will find for this example that after certain iteration the numbers in a certain column will be the same or of accuracy better than that required by the question. this is when you stop . .
 
What do you mean by "best"? There exist an infinite number of, say, cubic polynomials that interpolate the points you give. One possible definition of "best" is that \Sigma |f(x_i)- y_i| be a minimum. Another is Max |f(x_i)- y_i| be a minimum and yet another is that \sqrt{\int (f(x_i)- y_i)^2 dx} be a minimum. Each of those has applications.
 
HallsofIvy said:
What do you mean by "best"? There exist an infinite number of, say, cubic polynomials that interpolate the points you give. One possible definition of "best" is that \Sigma |f(x_i)- y_i| be a minimum. Another is Max |f(x_i)- y_i| be a minimum and yet another is that \sqrt{\int (f(x_i)- y_i)^2 dx} be a minimum. Each of those has applications.

Very true sir, I was just going to mention the same.
 
:) it is too late, sir i got my answer once i posted the question.(it is too late all)

any way thanks.
 

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