Rely on other packages for higher performance #7
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Based on suggestions in issue JuliaMath/SpecialFunctions.jl#175 this
Uses
FastTransforms
to represent orthogonal polynomials in one basis in another, as possible. (Fornow, only when
T<:AbstractFloat
.) Introduces a means to create orthonormal basis vectors to take advantage of that option within theFastTransforms
functions. This exposed some baked in assumptions that p_0 = 1, which isn't the case for this normalization.Use
FastGaussQuadrature
to compute gauss nodes and weights, as possibleUses hypergeometric functions from
HypergeometricFunctions
, as possible. Create aBasis(P,n)
type for direct evaluation of basis vectors through the hypergeometric formulation as an alternative to Clenshaw reduction.some code cleanup