fix docs so they at least render.

docs/src/plans/objective.md

@@ -121,6 +121,8 @@ ManifoldCostGradientObjective
 ```@docs
 get_gradient
 get_gradients
+get_residuals
+get_residuals!
 ```
 
 and internally
@@ -268,6 +270,8 @@ Base.length(::VectorGradientFunction)
 ```@docs
 Manopt._to_iterable_indices
 Manopt._change_basis!
+Manopt.get_basis
+Manopt.get_range
 ```
 
 ### Subproblem objective

src/Manopt.jl

@@ -381,6 +381,8 @@ export get_state,
     get_differential_dual_prox!,
     set_gradient!,
     set_iterate!,
+    get_residuals,
+    get_residuals!,
     linearized_forward_operator,
     linearized_forward_operator!,
     adjoint_linearized_operator,

src/plans/constrained_plan.jl

@@ -332,7 +332,7 @@ components gradients, for example
 
 In another interpretation, this can be considered a point on the tangent space
 at ``P = (p,…,p) \in \mathcal M^m``, so in the tangent space to the [`PowerManifold`](@extref `ManifoldsBase.PowerManifold`) ``\mathcal M^m``.
-The case where this is a [`NestedPowerRepresentation`](@extref) this agrees with the
+The case where this is a [`NestedPowerRepresentation`](@extref `ManifoldsBase.NestedPowerRepresentation`) this agrees with the
 interpretation from before, but on power manifolds, more efficient representations exist.
 
 To then access the elements, the range has to be specified. That is what this

src/plans/vectorial_plan.jl

@@ -34,7 +34,7 @@ Return a basis that fits a vector function representation.
 For the case, where some vectorial data is stored with respect to a basis,
 this function returns the corresponding basis, most prominently for the [`CoordinateVectorialType`](@ref).
 
-If a type is not with respect to a certain basis, the [`DefaultOrthonormalBasis`](@ref) is returned
+If a type is not with respect to a certain basis, the [`DefaultOrthonormalBasis`](@extref `ManifoldsBase.DefaultOrthonormalBasis`) is returned
 """
 get_basis(::AbstractVectorialType) = DefaultOrthonormalBasis()
 get_basis(cvt::CoordinateVectorialType) = cvt.basis
@@ -68,7 +68,7 @@ struct ComponentVectorialType <: AbstractVectorialType end
  A type to indicate that constraints are implemented one whole functions,
 for example ``g(p) ∈ ℝ^m`` or ``\operatorname{grad} g(p) ∈ (T_p\mathcal M)^m``.
 
-This type internally stores the [`AbstractPowerRepresentation`](@ref),
+This type internally stores the [`AbstractPowerRepresentation`](@extref `ManifoldsBase.AbstractPowerRepresentation`),
 when it makes sense, especially for Hessian and gradient functions.
 """
 struct FunctionVectorialType{P<:AbstractPowerRepresentation} <: AbstractVectorialType
@@ -81,7 +81,7 @@ end
 Return an abstract power manifold representation that fits a vector function's range.
 Most prominently a [`FunctionVectorialType`](@ref) returns its internal range.
 
-Otherwise the default [`NestedPowerRepresentation`](@ref) is used to work on
+Otherwise the default [`NestedPowerRepresentation`](@extref `ManifoldsBase.NestedPowerRepresentation`)`()` is used to work on
 a vector of data.
 """
 get_range(vt::FunctionVectorialType) = vt.range
@@ -542,7 +542,7 @@ Compute the Jacobian ``J_F ∈ ℝ^{m×n}`` of the [`AbstractVectorGradientFunct
 
 There are two interpretations of the Jacobian of a vectorial function ``F: $(_math(:M)) → ℝ^m`` on a manifold.
 Both depend on choosing a basis on the tangent space ``$(_math(:TpM))`` which we denote by
-``Y_1,…,Y_n``, where `n` is the [`manifold_dimension`](@extref) of `M`.
+``Y_1,…,Y_n``, where `n` is the $(_link(:manifold_dimension))`(M)`.
 We can write any tangent vector ``X = $(_tex(:displaystyle))$(_tex(:sum))_i c_iY_i``
 
 1. The Jacobian ``J_F`` is the matrix with respect to the basis ``Y_1,…,Y_n`` such that

src/solvers/interior_point_Newton.jl

@@ -58,7 +58,7 @@ $(_var(:Keyword, :evaluation))
 * `g=nothing`: the inequality constraints
 * `grad_g=nothing`: the gradient of the inequality constraints
 * `grad_h=nothing`: the gradient of the equality constraints
-* `gradient_range=nothing`: specify how gradients are represented, where `nothing` is equivalent to [`NestedPowerRepresentation`](@extref)
+* `gradient_range=nothing`: specify how gradients are represented, where `nothing` is equivalent to [`NestedPowerRepresentation`](@extref `ManifoldsBase.NestedPowerRepresentation`)
 * `gradient_equality_range=gradient_range`: specify how the gradients of the equality constraints are represented
 * `gradient_inequality_range=gradient_range`: specify how the gradients of the inequality constraints are represented
 * `h=nothing`: the equality constraints