Bill,
Thank you for the correction; yes, Nevilles' is an algorithm to produce the
same Lagrange interpolating polynomial. And thank you for the polynomF
package!
Don Slowik
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Are there implementations of, e.g. Neville's algorithm, for interpolating
polynomials through some data points? Nevilles' is an improvement on
Lagrange interpolation. And how about interpolating rational functions? I
could not find anything at rseek.org or at crantastic.org.
thanks
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Thanks Robert. That all seems to work. I also found the MASS::Null() function
that gives the null space for the matrix(transpose) given as argument. I am
still trying to appreciate the math behind the Moore-Penrose inverse matrix.
If you have any suggestions for understanding how to use R to solve
nls is part of the stats 'package'.
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https://stat.ethz.ch/mai
I have a simple system of linear equations to solve for X, aX=b:
> a
[,1] [,2] [,3] [,4]
[1,]1211
[2,]3004
[3,]1 -4 -2 -2
[4,]0000
> b
[,1]
[1,]0
[2,]2
[3,]2
[4,]0
(This is ex Ch1, 2.2 of Artin, Algebra).
So, 3 eqs
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