From a07d91ef58fb6a87ff4ef37d27cf236faf224d27 Mon Sep 17 00:00:00 2001 From: "Documenter.jl" Date: Mon, 16 Sep 2024 08:45:40 +0000 Subject: [PATCH] build based on 5fa6dfc --- dev/.documenter-siteinfo.json | 2 +- dev/index.html | 6 +++--- dev/objects.inv | Bin 307 -> 314 bytes dev/search_index.js | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/dev/.documenter-siteinfo.json b/dev/.documenter-siteinfo.json index 7ff14f8..e999c43 100644 --- a/dev/.documenter-siteinfo.json +++ b/dev/.documenter-siteinfo.json @@ -1 +1 @@ -{"documenter":{"julia_version":"1.10.5","generation_timestamp":"2024-09-16T01:02:29","documenter_version":"1.7.0"}} \ No newline at end of file +{"documenter":{"julia_version":"1.10.5","generation_timestamp":"2024-09-16T08:45:37","documenter_version":"1.7.0"}} \ No newline at end of file diff --git a/dev/index.html b/dev/index.html index 410e765..3744125 100644 --- a/dev/index.html +++ b/dev/index.html @@ -1,5 +1,5 @@ -Home · BatchedTransformations.jl
GitHub

BatchedTransformations

Documentation for BatchedTransformations.

BatchedTransformations.Composed — Type
Composed{Outer<:Transformation,Inner<:Transformation}

A Composed contains two transformations outer and inner that are composed, where inner gets applied first, and then outer.. It can be constructed with compose(outer, inner) or outer ∘ inner, unless the compose function is overloaded for the specific types.

source
BatchedTransformations.Inverse — Type
Inverse{T<:Transformation}

An Inverse represents a lazy inverse of a Transformation t.

inverse(t) is a lazy inverse that defaults to inv(t) when evaluated. transform(inverse(t), x) is equivalent to inverse_transform(t, x). This allows for specialized inverse transform implementations that don't require the inverse to be computed explicitly.

source
BatchedTransformations.Transformation — Type
Transformation

An abstract type whose concrete subtypes contain batches of transformations that can be applied to an array. A Transformation t can be applied to x with transform(t, x), t * x, and t(x).

source
BatchedTransformations.transform — Method
transform(t, x)
+Home · BatchedTransformations.jl
GitHub
BatchedTransformations
Documentation for BatchedTransformations.
BatchedTransformations.Composed — Type
Composed{Outer<:Transformation,Inner<:Transformation}
A Composed contains two transformations outer and inner that are composed, where inner gets applied first, and then outer.. It can be constructed with compose(outer, inner) or outer ∘ inner, unless the compose function is overloaded for the specific types.
source
BatchedTransformations.Inverse — Type
Inverse{T<:Transformation} <: Transformation
An Inverse represents a lazy inverse of a Transformation t.
inverse(t) is a lazy inverse that defaults to inv(t) when evaluated. transform(inverse(t), x) is equivalent to inverse_transform(t, x). This allows for specialized inverse transform implementations that don't require the inverse to be computed explicitly.
source
BatchedTransformations.Transformation — Type
Transformation
An abstract type whose concrete subtypes contain batches of transformations that can be applied to an array. A Transformation t can be applied to x with transform(t, x), t * x, and t(x).
source

+t(x)
source
diff --git a/dev/objects.inv b/dev/objects.inv index 37f2f4c28107d0abb67d8dc84000414c3d96c6b9..fbfbe91db2c28a4dc61a27c220c42789a1fe04ed 100644 GIT binary patch delta 180 zcmV;l089U~0=fc_j(^Jzf-n$8_kP7B+MO6>L&8pQA$xwHwqwBbLFi~C#(x(yE=p3; z<()abbJEsGe1apHODiBb0GzGHRl!L#DC?dZceTCd)LP@doZ=T$6S>|%5&(Df&q;mn z6u$iZ7LI0k!%gKHsj(8qvbZ9a6+XezlBN5xj%BB?jT>DEeW3W b1AB|pX*U>z<=-uT$3-OW=lP=#-72|Qi}_K} diff --git a/dev/search_index.js b/dev/search_index.js index 8a5ec4e..64a4beb 100644 --- a/dev/search_index.js +++ b/dev/search_index.js @@ -1,3 +1,3 @@ var documenterSearchIndex = {"docs": -[{"location":"","page":"Home","title":"Home","text":"CurrentModule = BatchedTransformations","category":"page"},{"location":"#BatchedTransformations","page":"Home","title":"BatchedTransformations","text":"","category":"section"},{"location":"","page":"Home","title":"Home","text":"Documentation for BatchedTransformations.","category":"page"},{"location":"","page":"Home","title":"Home","text":"","category":"page"},{"location":"","page":"Home","title":"Home","text":"Modules = [BatchedTransformations]","category":"page"},{"location":"#BatchedTransformations.Composed","page":"Home","title":"BatchedTransformations.Composed","text":"Composed{Outer<:Transformation,Inner<:Transformation}\n\nA Composed contains two transformations outer and inner that are composed, where inner gets applied first, and then outer.. It can be constructed with compose(outer, inner) or outer ∘ inner, unless the compose function is overloaded for the specific types.\n\n\n\n\n\n","category":"type"},{"location":"#BatchedTransformations.Inverse","page":"Home","title":"BatchedTransformations.Inverse","text":"Inverse{T<:Transformation}\n\nAn Inverse represents a lazy inverse of a Transformation t.\n\ninverse(t) is a lazy inverse that defaults to inv(t) when evaluated. transform(inverse(t), x) is equivalent to inverse_transform(t, x). This allows for specialized inverse transform implementations that don't require the inverse to be computed explicitly.\n\n\n\n\n\n","category":"type"},{"location":"#BatchedTransformations.Transformation","page":"Home","title":"BatchedTransformations.Transformation","text":"Transformation\n\nAn abstract type whose concrete subtypes contain batches of transformations that can be applied to an array. A Transformation t can be applied to x with transform(t, x), t * x, and t(x).\n\n\n\n\n\n","category":"type"},{"location":"#BatchedTransformations.compose-Tuple{Transformation, Transformation}","page":"Home","title":"BatchedTransformations.compose","text":"compose(t2, t1)\nt2 ∘ t1\n\n\n\n\n\n","category":"method"},{"location":"#BatchedTransformations.transform-Tuple{Transformation, Any}","page":"Home","title":"BatchedTransformations.transform","text":"transform(t, x)\nt * x\nt(x)\n\n\n\n\n\n","category":"method"}] +[{"location":"","page":"Home","title":"Home","text":"CurrentModule = BatchedTransformations","category":"page"},{"location":"#BatchedTransformations","page":"Home","title":"BatchedTransformations","text":"","category":"section"},{"location":"","page":"Home","title":"Home","text":"Documentation for BatchedTransformations.","category":"page"},{"location":"","page":"Home","title":"Home","text":"","category":"page"},{"location":"","page":"Home","title":"Home","text":"Modules = [BatchedTransformations]","category":"page"},{"location":"#BatchedTransformations.Composed","page":"Home","title":"BatchedTransformations.Composed","text":"Composed{Outer<:Transformation,Inner<:Transformation}\n\nA Composed contains two transformations outer and inner that are composed, where inner gets applied first, and then outer.. It can be constructed with compose(outer, inner) or outer ∘ inner, unless the compose function is overloaded for the specific types.\n\n\n\n\n\n","category":"type"},{"location":"#BatchedTransformations.Identity","page":"Home","title":"BatchedTransformations.Identity","text":"Identity <: Transformation\n\n\n\n\n\n","category":"type"},{"location":"#BatchedTransformations.Inverse","page":"Home","title":"BatchedTransformations.Inverse","text":"Inverse{T<:Transformation} <: Transformation\n\nAn Inverse represents a lazy inverse of a Transformation t.\n\ninverse(t) is a lazy inverse that defaults to inv(t) when evaluated. transform(inverse(t), x) is equivalent to inverse_transform(t, x). This allows for specialized inverse transform implementations that don't require the inverse to be computed explicitly.\n\n\n\n\n\n","category":"type"},{"location":"#BatchedTransformations.Transformation","page":"Home","title":"BatchedTransformations.Transformation","text":"Transformation\n\nAn abstract type whose concrete subtypes contain batches of transformations that can be applied to an array. A Transformation t can be applied to x with transform(t, x), t * x, and t(x).\n\n\n\n\n\n","category":"type"},{"location":"#BatchedTransformations.compose-Tuple{Transformation, Transformation}","page":"Home","title":"BatchedTransformations.compose","text":"compose(t2, t1)\nt2 ∘ t1\n\n\n\n\n\n","category":"method"},{"location":"#BatchedTransformations.transform-Tuple{Transformation, Any}","page":"Home","title":"BatchedTransformations.transform","text":"transform(t, x)\nt * x\nt(x)\n\n\n\n\n\n","category":"method"}] }