Merge pull request #193 from ErikQQY/master

Fix TrustRegion docstring

Author: ChrisRackauckas

src/raphson.jl

@@ -85,8 +85,10 @@ mutable struct NewtonRaphsonCache{iip, fType, algType, uType, duType, resType, p
     stats::NLStats
 
     function NewtonRaphsonCache{iip}(f::fType, alg::algType, u::uType, fu::resType,
-        p::pType, uf::ufType, linsolve::L, J::jType, du1::duType,
-        jac_config::JC, force_stop::Bool, maxiters::Int, internalnorm::INType,
+        p::pType, uf::ufType, linsolve::L, J::jType,
+        du1::duType,
+        jac_config::JC, force_stop::Bool, maxiters::Int,
+        internalnorm::INType,
         retcode::SciMLBase.ReturnCode.T, abstol::tolType,
         prob::probType,
         stats::NLStats) where {

src/trustRegion.jl

@@ -1,3 +1,11 @@
+EnumX.@enumx RadiusUpdateSchemes begin
+    Simple
+    Hei
+    Yuan
+    Bastin
+    Fan
+end
+
 """
 ```julia
 TrustRegion(; chunk_size = Val{0}(), autodiff = Val{true}(),
@@ -80,14 +88,6 @@ for large-scale and numerically-difficult nonlinear systems.
     Currently, the linear solver and chunk size choice only applies to in-place defined
     `NonlinearProblem`s. That is expected to change in the future.
 """
-EnumX.@enumx RadiusUpdateSchemes begin
-    Simple
-    Hei
-    Yuan
-    Bastin
-    Fan
-end
-
 struct TrustRegion{CS, AD, FDT, L, P, ST, CJ, MTR} <:
        AbstractNewtonAlgorithm{CS, AD, FDT, ST, CJ}
     linsolve::L
@@ -197,7 +197,8 @@ mutable struct TrustRegionCache{iip, fType, algType, uType, resType, pType,
         suType, su2Type, tmpType}
         new{iip, fType, algType, uType, resType, pType,
             INType, tolType, probType, ufType, L, jType, JC, floatType,
-            trustType, suType, su2Type, tmpType}(f, alg, u_prev, u, fu_prev, fu, p, uf, linsolve, J,
+            trustType, suType, su2Type, tmpType}(f, alg, u_prev, u, fu_prev, fu, p, uf,
+            linsolve, J,
             jac_config, force_stop,
             maxiters, internalnorm, retcode,
             abstol, prob, radius_update_scheme,

test/basictests.jl

@@ -288,7 +288,7 @@ end
 g = function (p)
     probN = NonlinearProblem{false}(f, csu0, p)
     sol = solve(probN, TrustRegion(radius_update_scheme = RadiusUpdateSchemes.Bastin),
-                abstol = 1e-9)
+        abstol = 1e-9)
     return sol.u[end]
 end
 
@@ -358,7 +358,7 @@ end
 g = function (p)
     probN = NonlinearProblem{false}(f, oftype(p, u0), p)
     sol = solve(probN, TrustRegion(radius_update_scheme = RadiusUpdateSchemes.Bastin),
-                abstol = 1e-10)
+        abstol = 1e-10)
     return sol.u
 end
 
@@ -516,7 +516,7 @@ f(u, p)
 g = function (p)
     probN = NonlinearProblem{false}(f, u0, p)
     sol = solve(probN, TrustRegion(radius_update_scheme = RadiusUpdateSchemes.Bastin),
-                abstol = 1e-10)
+        abstol = 1e-10)
     return sol.u
 end
 p = [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]