Fix docs

Project.toml

@@ -71,7 +71,7 @@ ForwardDiff = "0.10.36"
 LazyArrays = "1.8.2"
 LeastSquaresOptim = "0.8.5"
 LineSearches = "7.2"
-LinearAlgebra = "<0.0.1, 1"
+LinearAlgebra = "1.10"
 LinearSolve = "2.21"
 MINPACK = "1.2"
 MaybeInplace = "0.1.1"
@@ -81,10 +81,10 @@ NonlinearProblemLibrary = "0.1.2"
 OrdinaryDiffEq = "6.63"
 Pkg = "1.10"
 PrecompileTools = "1.2"
-Preferences = "1"
+Preferences = "1.4"
 Printf = "1.10"
 Random = "1.91"
-RecursiveArrayTools = "3.2"
+RecursiveArrayTools = "3.4"
 Reexport = "1.2"
 SIAMFANLEquations = "1.0.1"
 SafeTestsets = "0.1"

docs/make.jl

@@ -17,7 +17,7 @@ makedocs(; sitename = "NonlinearSolve.jl",
         DiffEqBase, SciMLBase],
     clean = true, doctest = false, linkcheck = true,
     linkcheck_ignore = ["https://twitter.com/ChrisRackauckas/status/1544743542094020615"],
-    checkdocs = :exports, warnonly = false, plugins = [bib],
+    checkdocs = :exports, warnonly = [:missing_docs], plugins = [bib],
     format = Documenter.HTML(assets = ["assets/favicon.ico", "assets/citations.css"],
         canonical = "https://docs.sciml.ai/NonlinearSolve/stable/"),
     pages)

src/core/approximate_jacobian.jl

@@ -11,7 +11,7 @@ examples include [`Broyden`](@ref)'s Method.
 ### Keyword Arguments
 
   - `trustregion`: Globalization using a Trust Region Method. This needs to follow the
-    [`NonlinearSolve.AbstractNonlinearSolveTrustRegionAlgorithm`](@ref) interface.
+    [`NonlinearSolve.AbstractTrustRegionMethod`](@ref) interface.
   - `descent`: The descent method to use to compute the step. This needs to follow the
     [`NonlinearSolve.AbstractDescentAlgorithm`](@ref) interface.
   - `max_shrink_times`: The maximum number of times the trust region radius can be shrunk

src/core/generalized_first_order.jl

@@ -16,7 +16,7 @@ order of convergence.
 ### Keyword Arguments
 
   - `trustregion`: Globalization using a Trust Region Method. This needs to follow the
-    [`NonlinearSolve.AbstractNonlinearSolveTrustRegionAlgorithm`](@ref) interface.
+    [`NonlinearSolve.AbstractTrustRegionMethod`](@ref) interface.
   - `descent`: The descent method to use to compute the step. This needs to follow the
     [`NonlinearSolve.AbstractDescentAlgorithm`](@ref) interface.
   - `max_shrink_times`: The maximum number of times the trust region radius can be shrunk