THIS LIBRARY HAS BEEN DEPRECATED
a more structured library, with support for finite-differences and FEDVR as well can be found at
https://github.com/JuliaApproximation/CompactBases.jl
Implementation of B-splines in the framework of ContinuumArrays.jl.
The main application of this library is function approximation for the
solution of differential equations. Furthermore, only functions of one
variable are supported at the moment, i.e. f(x) (f may be scalar-
or vector-valued, however). Functions of multiple variables would not
be too difficult to implement (e.g. product grids), but the interface
for that has not been defined yet, this should be done on the
ContinuumArrays level; the goal is to be able to use different bases
for the different variables.
Other common applications of B-splines such as knot insertion and smoothing of data are not yet implemented, i.e. the library is as of now mainly focused on chapters X–XI of de Boor (2001) [1]; PRs are welcome to implement the various applications of chapters XII–XVII.
- Carl de Boor (2001). A Practical Guide to Splines. New York: Springer. ISBN: 978-0-387-95366-3.
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