Skip to content

Commit ed2f785

Browse files
committed
Fix format error
1 parent 3c3999a commit ed2f785

File tree

3 files changed

+7
-5
lines changed

3 files changed

+7
-5
lines changed

docs/make.jl

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -39,7 +39,7 @@ makedocs(
3939
"https://www.wolframalpha.com/input/?i=u%27%3D-sqrt%28u%29",
4040
"https://www.mathworks.com/help/simulink/gui/absolutetolerance.html",
4141
"https://www.mathworks.com/help/matlab/math/choose-an-ode-solver.html",
42-
"https://journals.ametsoc.org/view/journals/atsc/20/2/1520-0469_1963_020_0130_dnf_2_0_co_2.xml",
42+
"https://journals.ametsoc.org/view/journals/atsc/20/2/1520-0469_1963_020_0130_dnf_2_0_co_2.xml"
4343
],
4444
doctest = false, clean = true,
4545
warnonly = [:missing_docs],

docs/src/solvers/ode_solve.md

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -783,9 +783,9 @@ Examples:
783783

784784
```julia
785785
sol = solve(prob, Rosenbrock23()) # Standard, uses autodiff
786-
sol = solve(prob, Rosenbrock23(autodiff = AutoForwardDiff(chunksize = 10)) # Autodiff with chunksize of 10
787-
sol = solve(prob, Rosenbrock23(autodiff = AutoFiniteDiff()) # Numerical differentiation with central differencing
788-
sol = solve(prob, Rosenbrock23(autodiff = AutoFiniteDiff(fdtype = Val{:forward})) # Numerical differentiation with forward differencing
786+
sol = solve(prob, Rosenbrock23(autodiff = AutoForwardDiff(chunksize = 10))) # Autodiff with chunksize of 10
787+
sol = solve(prob, Rosenbrock23(autodiff = AutoFiniteDiff())) # Numerical differentiation with central differencing
788+
sol = solve(prob, Rosenbrock23(autodiff = AutoFiniteDiff(fdtype = Val{:forward}))) # Numerical differentiation with forward differencing
789789
```
790790

791791
#### Tableau Method

docs/src/tutorials/bvp_example.md

Lines changed: 3 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -173,5 +173,7 @@ u0 = [0.0, 0.0, 0.0, 0.0]
173173
tspan = (0.0, 1.0)
174174
fun = BVPFunction(f!, bc!, mass_matrix = [1 0 0 0; 0 1 0 0; 0 0 1 0; 0 0 0 0])
175175
prob = BVProblem(fun, u0, tspan)
176-
sol = solve(prob, Ascher4(zeta = [0.0, 0.0, 1.0], jac_alg = BVPJacobianAlgorithm(AutoForwardDiff())), dt = 0.01)
176+
sol = solve(prob,
177+
Ascher4(zeta = [0.0, 0.0, 1.0], jac_alg = BVPJacobianAlgorithm(AutoForwardDiff())),
178+
dt = 0.01)
177179
```

0 commit comments

Comments
 (0)