On the approximation by weighted ridge functions
classification
🧮 math.CA
keywords
approximationfunctionsbestridgeweightcasecharacterizecombinations
read the original abstract
We characterize the best $L_{2}$ approximation to a multivariate function by linear combinations of ridge functions multiplied by some fixed weight functions. In the special case when the weight functions are constants, we propose explicit formulas for both the best approximation and approximation error.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.