Unfortunately I can't find any freely available information about the concept/theory/derivation of the Everett formula, I can find the equation fine but none of the theory related to it, and it's not covered in any of my text books that go well beyond my university course where I have also taken all available numerical analysis modules.
All I can say is that to me this seems like quite an advanced theory, and if you're in university/college, your best bet is to ask your lecturer/teacher about the theory behind it if you don't understand it properly. If you're not at university, then I'm sorry that I can't be of any use to you, but as I stated in the first paragraph, this is not covered in any of my courses, or any of my textbooks, and I have tried looking for the necessary information elsewhere but I can't find it.
John Everetts died on 1956-09-12.
John Everetts was born on 1873-08-25.
Everetts Church of Christ was created in 1923.
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when the value of x for which f(y) is to be found lies in the upper part of forward difference table then we use Newton's forward interpolation formula..
pu = p0 + u(p1 - p0)
Blue
The process is called interpolation, which applies a computed formula of the line to a given x or y value. (More specifically, it is "linear interpolation".)
Penny
Newton's forward interpolation formula is derived by constructing a series of finite divided differences based on the given data points, then expressing the interpolation polynomial using these differences. By determining the first divided difference as the increments of function values, and subsequent divided differences as the increments of the previous differences, the formula is formulated algebraically as a series of terms involving these differences. This results in a polynomial that can be used to interpolate values within the given data range using forward differences.
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The interpolation factor is simply the ratio of the output rate to the input