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docs: Clarify that mul! is in LinearAlgebra #57

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docs: Clarify that mul! is in LinearAlgebra #57

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4 changes: 2 additions & 2 deletions src/definitions.jl
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Expand Up @@ -87,14 +87,14 @@ plan_bfft
plan_fft(A [, dims]; flags=FFTW.ESTIMATE, timelimit=Inf)

Pre-plan an optimized FFT along given dimensions (`dims`) of arrays matching the shape and
type of `A`. (The first two arguments have the same meaning as for [`fft`](@ref).)
type of array `A`. (The first two arguments have the same meaning as for [`fft`](@ref).)
Returns an object `P` which represents the linear operator computed by the FFT, and which
contains all of the information needed to compute `fft(A, dims)` quickly.

To apply `P` to an array `A`, use `P * A`; in general, the syntax for applying plans is much
like that of matrices. (A plan can only be applied to arrays of the same size as the `A`
for which the plan was created.) You can also apply a plan with a preallocated output array `Â`
by calling `mul!(Â, plan, A)`. (For `mul!`, however, the input array `A` must
by calling `LinearAlgebra.mul!(Â, plan, A)`. (For `mul!`, however, the input array `A` must
be a complex floating-point array like the output `Â`.) You can compute the inverse-transform plan by `inv(P)`
and apply the inverse plan with `P \\ Â` (the inverse plan is cached and reused for
subsequent calls to `inv` or `\\`), and apply the inverse plan to a pre-allocated output
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