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📚Switch to using DocumenterInterLinks for ManifoldsBase.jl (#366)
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* Initial setup of InterDocLinks
* use `{=commonmark}` for interlinks in qmds.
* Further rework to using DocumenterInterLinks.
* Replace further links.
* Finishes the remaining occurences of ManifoldsBase Interlinks.
* Update changelog.
* Delete a file I committed by accident.
* Update Changelog.md

Co-authored-by: Mateusz Baran <[email protected]>
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kellertuer and mateuszbaran authored Mar 15, 2024
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6 changes: 6 additions & 0 deletions Changelog.md
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Expand Up @@ -5,6 +5,12 @@ All notable Changes to the Julia package `Manopt.jl` will be documented in this
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [unreleased] March 15, 2024

### Changed

* `ManifoldsBase.jl` now is running on Documenter 1.3, `Manopt.jl` documentation now uses [DocumenterInterLinks](https://github.com/JuliaDocs/DocumenterInterLinks.jl) to refer to sections and functions from `ManifoldsBase.jl`

## [0.4.56] March 4, 2024

### Added
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1 change: 1 addition & 0 deletions docs/Project.toml
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Expand Up @@ -6,6 +6,7 @@ CondaPkg = "992eb4ea-22a4-4c89-a5bb-47a3300528ab"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
DocumenterCitations = "daee34ce-89f3-4625-b898-19384cb65244"
DocumenterInterLinks = "d12716ef-a0f6-4df4-a9f1-a5a34e75c656"
FiniteDifferences = "26cc04aa-876d-5657-8c51-4c34ba976000"
Images = "916415d5-f1e6-5110-898d-aaa5f9f070e0"
JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
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7 changes: 5 additions & 2 deletions docs/make.jl
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Expand Up @@ -71,7 +71,7 @@ end

# (c) load necessary packages for the docs
using Documenter
using DocumenterCitations
using DocumenterCitations, DocumenterInterLinks
using JuMP, LineSearches, LRUCache, Manopt, Manifolds, Plots
using RipQP, QuadraticModels

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]
# (e) finally make docs
bib = CitationBibliography(joinpath(@__DIR__, "src", "references.bib"); style=:alpha)
links = InterLinks(
"ManifoldsBase" => ("https://juliamanifolds.github.io/ManifoldsBase.jl/stable/")
)
makedocs(;
format=Documenter.HTML(;
prettyurls=(get(ENV, "CI", nothing) == "true") || ("--prettyurls" ARGS),
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"Changelog" => "changelog.md",
"References" => "references.md",
],
plugins=[bib],
plugins=[bib, links],
)
deploydocs(; repo="github.com/JuliaManifolds/Manopt.jl", push_preview=true)
#back to main env
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2 changes: 1 addition & 1 deletion docs/src/index.md
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Expand Up @@ -87,7 +87,7 @@ Together they form a [plan](plans/index.md).

## Manifolds

This project is build upon [ManifoldsBase.jl](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/), a generic interface to implement manifolds. Certain functions are extended for specific manifolds from [Manifolds.jl](https://juliamanifolds.github.io/Manifolds.jl/stable/), but all other manifolds from that package can be used here, too.
This project is build upon [ManifoldsBase.jl](@extref ManifoldsBase :doc:`index`), a generic interface to implement manifolds. Certain functions are extended for specific manifolds from [Manifolds.jl](https://juliamanifolds.github.io/Manifolds.jl/stable/), but all other manifolds from that package can be used here, too.

The notation in the documentation aims to follow the same [notation](https://juliamanifolds.github.io/Manifolds.jl/stable/misc/notation.html) from these packages.

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2 changes: 1 addition & 1 deletion docs/src/plans/problem.md
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Expand Up @@ -26,5 +26,5 @@ TwoManifoldProblem
```

From the two ingredients here, you can find more information about
* the [`AbstractManifold`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/types.html) in [ManifoldsBase.jl](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/)
* the [`ManifoldsBase.AbstractManifold`](@extref) in [ManifoldsBase.jl](@extref ManifoldsBase :doc:`index`)
* the [`AbstractManifoldObjective`](@ref) on the [page about the objective](objective.md).
8 changes: 4 additions & 4 deletions docs/src/solvers/ChambollePock.md
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Expand Up @@ -113,10 +113,10 @@ Manopt.update_prox_parameters!

The [`ChambollePock`](@ref) solver requires the following functions of a manifold to be available for both the manifold ``\mathcal M``and ``\mathcal N``

* A [`retract!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/)`(M, q, p, X)`; it is recommended to set the [`default_retraction_method`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/#ManifoldsBase.default_retraction_method-Tuple{AbstractManifold}) to a favourite retraction. If this default is set, a `retraction_method=` or `retraction_method_dual=` (for ``\mathcal N``) does not have to be specified.
* An [`inverse_retract!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/)`(M, X, p, q)`; it is recommended to set the [`default_inverse_retraction_method`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/#ManifoldsBase.default_inverse_retraction_method-Tuple{AbstractManifold}) to a favourite retraction. If this default is set, a `inverse_retraction_method=` or `inverse_retraction_method_dual=` (for ``\mathcal N``) does not have to be specified.
* A [`vector_transport_to!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/vector_transports/)`M, Y, p, X, q)`; it is recommended to set the [`default_vector_transport_method`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/vector_transports/#ManifoldsBase.default_vector_transport_method-Tuple{AbstractManifold}) to a favourite retraction. If this default is set, a `vector_transport_method=` or `vector_transport_method_dual=` (for ``\mathcal N``) does not have to be specified.
* A [`copyto!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#Base.copyto!-Tuple{AbstractManifold,%20Any,%20Any})`(M, q, p)` and [`copy`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#Base.copy-Tuple{AbstractManifold,%20Any})`(M,p)` for points.
* A [`retract!`](@extref ManifoldsBase :doc:`retractions`)`(M, q, p, X)`; it is recommended to set the [`default_retraction_method`](@extref `ManifoldsBase.default_retraction_method-Tuple{AbstractManifold}`) to a favourite retraction. If this default is set, a `retraction_method=` or `retraction_method_dual=` (for ``\mathcal N``) does not have to be specified.
* An [`inverse_retract!`](@extref ManifoldsBase :doc:`retractions`)`(M, X, p, q)`; it is recommended to set the [`default_inverse_retraction_method`](@extref `ManifoldsBase.default_inverse_retraction_method-Tuple{AbstractManifold}`) to a favourite retraction. If this default is set, a `inverse_retraction_method=` or `inverse_retraction_method_dual=` (for ``\mathcal N``) does not have to be specified.
* A [`vector_transport_to!`](@extref ManifoldsBase :doc:`vector_transports`)`M, Y, p, X, q)`; it is recommended to set the [`default_vector_transport_method`](@extref `ManifoldsBase.default_vector_transport_method-Tuple{AbstractManifold}`) to a favourite retraction. If this default is set, a `vector_transport_method=` or `vector_transport_method_dual=` (for ``\mathcal N``) does not have to be specified.
* A [`copyto!](@extref `Base.copyto!-Tuple{AbstractManifold, Any, Any}`)`(M, q, p)` and [`copy`](@extref `Base.copy-Tuple{AbstractManifold, Any}`)`(M,p)` for points.

## Literature

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8 changes: 4 additions & 4 deletions docs/src/solvers/DouglasRachford.md
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Expand Up @@ -72,14 +72,14 @@ reflect

The [`DouglasRachford`](@ref) solver requires the following functions of a manifold to be available

* A [`retract!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/)`(M, q, p, X)`; it is recommended to set the [`default_retraction_method`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/#ManifoldsBase.default_retraction_method-Tuple{AbstractManifold}) to a favourite retraction. If this default is set, a `retraction_method=` does not have to be specified.
* An [`inverse_retract!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/)`(M, X, p, q)`; it is recommended to set the [`default_inverse_retraction_method`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/#ManifoldsBase.default_inverse_retraction_method-Tuple{AbstractManifold}) to a favourite retraction. If this default is set, a `inverse_retraction_method=` does not have to be specified.
* A [`copyto!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#Base.copyto!-Tuple{AbstractManifold,%20Any,%20Any})`(M, q, p)` and [`copy`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#Base.copy-Tuple{AbstractManifold,%20Any})`(M,p)` for points.
* A [`retract!`](@extref ManifoldsBase :doc:`retractions`)`(M, q, p, X)`; it is recommended to set the [`default_retraction_method`](@extref `ManifoldsBase.default_retraction_method-Tuple{AbstractManifold}`) to a favourite retraction. If this default is set, a `retraction_method=` does not have to be specified.
* An [`inverse_retract!`](@extref ManifoldsBase :doc:`retractions`)`(M, X, p, q)`; it is recommended to set the [`default_inverse_retraction_method`](@extref `ManifoldsBase.default_inverse_retraction_method-Tuple{AbstractManifold}`) to a favourite retraction. If this default is set, a `inverse_retraction_method=` does not have to be specified.
* A [`copyto!](@extref `Base.copyto!-Tuple{AbstractManifold, Any, Any}`)`(M, q, p)` and [`copy`](@extref `Base.copy-Tuple{AbstractManifold, Any}`)`(M,p)` for points.

By default, one of the stopping criteria is [`StopWhenChangeLess`](@ref),
which requires

* An [`inverse_retract!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/)`(M, X, p, q)`; it is recommended to set the [`default_inverse_retraction_method`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/#ManifoldsBase.default_inverse_retraction_method-Tuple{AbstractManifold}) to a favourite retraction. If this default is set, a `inverse_retraction_method=` or `inverse_retraction_method_dual=` (for ``\mathcal N``) does not have to be specified or the [`distance`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#ManifoldsBase.distance-Tuple{AbstractManifold,%20Any,%20Any})`(M, p, q)` for said default inverse retraction.
* An [`inverse_retract!`](@extref ManifoldsBase :doc:`retractions`)`(M, X, p, q)`; it is recommended to set the [`default_inverse_retraction_method`](@extref `ManifoldsBase.default_inverse_retraction_method-Tuple{AbstractManifold}`) to a favourite retraction. If this default is set, a `inverse_retraction_method=` or `inverse_retraction_method_dual=` (for ``\mathcal N``) does not have to be specified or the [`distance`](@extref `ManifoldsBase.distance-Tuple{AbstractManifold, Any, Any}`)`(M, p, q)` for said default inverse retraction.

## Literature

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6 changes: 3 additions & 3 deletions docs/src/solvers/LevenbergMarquardt.md
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Expand Up @@ -19,9 +19,9 @@ LevenbergMarquardtState

The [`LevenbergMarquardt`](@ref) solver requires the following functions of a manifold to be available

* A [`retract!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/)`(M, q, p, X)`; it is recommended to set the [`default_retraction_method`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/#ManifoldsBase.default_retraction_method-Tuple{AbstractManifold}) to a favourite retraction. If this default is set, a `retraction_method=` does not have to be specified.
* the [`norm`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#LinearAlgebra.norm-Tuple{AbstractManifold,%20Any,%20Any}) as well, to stop when the norm of the gradient is small, but if you implemented `inner`, the norm is provided already.
* A [`copyto!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#Base.copyto!-Tuple{AbstractManifold,%20Any,%20Any})`(M, q, p)` and [`copy`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#Base.copy-Tuple{AbstractManifold,%20Any})`(M,p)` for points.
* A [`retract!`](@extref ManifoldsBase :doc:`retractions`)`(M, q, p, X)`; it is recommended to set the [`default_retraction_method`](@extref `ManifoldsBase.default_retraction_method-Tuple{AbstractManifold}`) to a favourite retraction. If this default is set, a `retraction_method=` does not have to be specified.
* the [`norm`](@extref `LinearAlgebra.norm-Tuple{AbstractManifold, Any, Any}`) as well, to stop when the norm of the gradient is small, but if you implemented `inner`, the norm is provided already.
* A [`copyto!](@extref `Base.copyto!-Tuple{AbstractManifold, Any, Any}`)`(M, q, p)` and [`copy`](@extref `Base.copy-Tuple{AbstractManifold, Any}`)`(M,p)` for points.


## Literature
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8 changes: 4 additions & 4 deletions docs/src/solvers/NelderMead.md
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Expand Up @@ -31,8 +31,8 @@ StopWhenPopulationConcentrated

The [`NelderMead`](@ref) solver requires the following functions of a manifold to be available

* A [`retract!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/)`(M, q, p, X)`; it is recommended to set the [`default_retraction_method`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/#ManifoldsBase.default_retraction_method-Tuple{AbstractManifold}) to a favourite retraction. If this default is set, a `retraction_method=` does not have to be specified.
* An [`inverse_retract!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/)`(M, X, p, q)`; it is recommended to set the [`default_inverse_retraction_method`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/#ManifoldsBase.default_inverse_retraction_method-Tuple{AbstractManifold}) to a favourite retraction. If this default is set, a `inverse_retraction_method=` does not have to be specified.
* The [`distance`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#ManifoldsBase.distance-Tuple{AbstractManifold,%20Any,%20Any})`(M, p, q)` when using the default stopping criterion, which includes [`StopWhenPopulationConcentrated`](@ref).
* Within the default initialization [`rand`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#Base.rand-Tuple{AbstractManifold})`(M)` is used to generate the initial population
* A [`retract!`](@extref ManifoldsBase :doc:`retractions`)`(M, q, p, X)`; it is recommended to set the [`default_retraction_method`](@extref `ManifoldsBase.default_retraction_method-Tuple{AbstractManifold}`) to a favourite retraction. If this default is set, a `retraction_method=` does not have to be specified.
* An [`inverse_retract!`](@extref ManifoldsBase :doc:`retractions`)`(M, X, p, q)`; it is recommended to set the [`default_inverse_retraction_method`](@extref `ManifoldsBase.default_inverse_retraction_method-Tuple{AbstractManifold}`) to a favourite retraction. If this default is set, a `inverse_retraction_method=` does not have to be specified.
* The [`distance`](@extref `ManifoldsBase.distance-Tuple{AbstractManifold, Any, Any}`)`(M, p, q)` when using the default stopping criterion, which includes [`StopWhenPopulationConcentrated`](@ref).
* Within the default initialization [`rand`](@extref Base.rand-Tuple{AbstractManifold})`(M)` is used to generate the initial population
* A [`mean`](https://juliamanifolds.github.io/Manifolds.jl/stable/features/statistics.html#Statistics.mean-Tuple{AbstractManifold,%20AbstractVector,%20AbstractVector,%20ExtrinsicEstimation})`(M, population)` has to be available, for example by loading [`Manifolds.jl`](https://juliamanifolds.github.io/Manifolds.jl/stable/) and its [statistics](https://juliamanifolds.github.io/Manifolds.jl/stable/features/statistics.html) tools
10 changes: 5 additions & 5 deletions docs/src/solvers/adaptive-regularization-with-cubics.md
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Expand Up @@ -59,12 +59,12 @@ StopWhenFirstOrderProgress
The [`adaptive_regularization_with_cubics`](@ref) requires the following functions
of a manifolds to be available

* A [`retract!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/)`(M, q, p, X)`; it is recommended to set the [`default_retraction_method`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/#ManifoldsBase.default_retraction_method-Tuple{AbstractManifold}) to a favourite retraction. If this default is set, a `retraction_method=` does not have to be specified.
* if you do not provide an initial regularization parameter `σ`, a [`manifold_dimension`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#ManifoldsBase.manifold_dimension-Tuple{AbstractManifold}) is required.
* By default the tangent vector storing the gradient is initialized calling [`zero_vector`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#ManifoldsBase.zero_vector-Tuple{AbstractManifold,%20Any})`(M,p)`.
* [`inner`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#ManifoldsBase.inner-Tuple{AbstractManifold,%20Any,%20Any,%20Any})`(M, p, X, Y)` is used within the algorithm step
* A [`retract!`](@extref ManifoldsBase :doc:`retractions`)`(M, q, p, X)`; it is recommended to set the [`default_retraction_method`](@extref `ManifoldsBase.default_retraction_method-Tuple{AbstractManifold}`) to a favourite retraction. If this default is set, a `retraction_method=` does not have to be specified.
* if you do not provide an initial regularization parameter `σ`, a [`manifold_dimension`](@extref `ManifoldsBase.manifold_dimension-Tuple{AbstractManifold}`) is required.
* By default the tangent vector storing the gradient is initialized calling [`zero_vector`](@extref `ManifoldsBase.zero_vector-Tuple{AbstractManifold, Any}`)`(M,p)`.
* [`inner`](@extref `ManifoldsBase.inner-Tuple{AbstractManifold, Any, Any, Any}`)`(M, p, X, Y)` is used within the algorithm step

Furthermore, within the Lanczos subsolver, generating a random vector (at `p`) using [`rand!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#Base.rand-Tuple{AbstractManifold})`(M, X; vector_at=p)` in place of `X` is required
Furthermore, within the Lanczos subsolver, generating a random vector (at `p`) using [`rand!`](@extref Base.rand-Tuple{AbstractManifold})(M, X; vector_at=p)` in place of `X` is required

## Literature

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8 changes: 4 additions & 4 deletions docs/src/solvers/alternating_gradient_descent.md
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Expand Up @@ -28,8 +28,8 @@ AlternatingGradient

The [`alternating_gradient_descent`](@ref) solver requires the following functions of a manifold to be available

* The problem has to be phrased on a [`ProductManifold`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/metamanifolds/#ProductManifold), to be able to
* The problem has to be phrased on a [`ProductManifold`](@extref ManifoldsBase ProductManifold), to be able to
alternate between parts of the input.
* A [`retract!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/)`(M, q, p, X)`; it is recommended to set the [`default_retraction_method`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/retractions/#ManifoldsBase.default_retraction_method-Tuple{AbstractManifold}) to a favourite retraction. If this default is set, a `retraction_method=` does not have to be specified.
* By default alternating gradient descent uses [`ArmijoLinesearch`](@ref) which requires [`max_stepsize`](@ref)`(M)` to be set and an implementation of [`inner`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#ManifoldsBase.inner-Tuple%7BAbstractManifold,%20Any,%20Any,%20Any%7D)`(M, p, X)`.
* By default the tangent vector storing the gradient is initialized calling [`zero_vector`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#ManifoldsBase.zero_vector-Tuple{AbstractManifold,%20Any})`(M,p)`.
* A [`retract!`](@extref ManifoldsBase :doc:`retractions`)`(M, q, p, X)`; it is recommended to set the [`default_retraction_method`](@extref `ManifoldsBase.default_retraction_method-Tuple{AbstractManifold}`) to a favourite retraction. If this default is set, a `retraction_method=` does not have to be specified.
* By default alternating gradient descent uses [`ArmijoLinesearch`](@ref) which requires [`max_stepsize`](@ref)`(M)` to be set and an implementation of [`inner`](@extref `ManifoldsBase.inner-Tuple{AbstractManifold, Any, Any, Any}`)`(M, p, X)`.
* By default the tangent vector storing the gradient is initialized calling [`zero_vector`](@extref `ManifoldsBase.zero_vector-Tuple{AbstractManifold, Any}`)`(M,p)`.
4 changes: 2 additions & 2 deletions docs/src/solvers/augmented_Lagrangian_method.md
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Expand Up @@ -26,9 +26,9 @@ AugmentedLagrangianGrad

The [`augmented_Lagrangian_method`](@ref) solver requires the following functions of a manifold to be available

* A [`copyto!`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#Base.copyto!-Tuple{AbstractManifold,%20Any,%20Any})`(M, q, p)` and [`copy`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#Base.copy-Tuple{AbstractManifold,%20Any})`(M,p)` for points.
* A [`copyto!](@extref `Base.copyto!-Tuple{AbstractManifold, Any, Any}`)`(M, q, p)` and [`copy`](@extref `Base.copy-Tuple{AbstractManifold, Any}`)`(M,p)` for points.
* Everything the subsolver requires, which by default is the [`quasi_Newton`](@ref) method
* A [`zero_vector`](https://juliamanifolds.github.io/ManifoldsBase.jl/stable/functions/#ManifoldsBase.zero_vector-Tuple{AbstractManifold,%20Any})`(M,p)`.
* A [`zero_vector`](@extref `ManifoldsBase.zero_vector-Tuple{AbstractManifold, Any}`)`(M,p)`.


## Literature
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