For a given sequence :(s_n)_{n\in\N},\, and a sequence transformation \mathbf{T}, the sequence resulting from transformation by
\mathbf{T} is :\mathbf{T}( ( s_n ) ) = ( s'_n )_{n\in\N}, where the elements of the transformed sequence are usually computed from some finite number of members of the original sequence, for instance :s_n' = T_n(s_n,s_{n+1},\dots,s_{n+k_n}) for some natural number k_n for each n and a
multivariate function T_n of k_n + 1 variables for each n. See for instance the
binomial transform and
Aitken's delta-squared process. In the simplest case the elements of the sequences, the s_n and s'_n, are
real or
complex numbers. More generally, they may be elements of some
vector space or
algebra. If the multivariate functions T_n are
linear in each of their arguments for each value of n, for instance if :s'_n=\sum_{m=0}^{k_n} c_{n,m} s_{n+m} for some constants k_n and c_{n,0},\dots,c_{n,k_n} for each n, then the sequence transformation \mathbf{T} is called a
linear sequence transformation. Sequence transformations that are not linear are called nonlinear sequence transformations. In the context of
series acceleration, when the original sequence (s_n) and the transformed sequence (s'_n) share the same limit \ell as n \rightarrow \infty, the transformed sequence is said to have a faster
rate of convergence than the original sequence if :\lim_{n\to\infty} \frac{s'_n-\ell}{s_n-\ell} = 0. If the original sequence is
divergent, the sequence transformation may act as an
extrapolation method to an
antilimit \ell. ==Examples==