From 923ad7c4a6979e709eaa5953849c4e04ca1f5372 Mon Sep 17 00:00:00 2001 From: Utkarsh Date: Mon, 9 Oct 2023 18:00:45 -0400 Subject: [PATCH] format --- docs/src/tutorials/advanced.md | 14 +++++++------- test/basictests.jl | 1 - 2 files changed, 7 insertions(+), 8 deletions(-) diff --git a/docs/src/tutorials/advanced.md b/docs/src/tutorials/advanced.md index b86232901..1982d8855 100644 --- a/docs/src/tutorials/advanced.md +++ b/docs/src/tutorials/advanced.md @@ -278,12 +278,12 @@ For more information on the preconditioner interface, see the ## Speed up Jacobian computation with sparsity exploitation and matrix coloring -To cut down the of Jacobian building overhead, we can choose to exploit the sparsity pattern and deploy matrix coloring during Jacobian construction. With NonlinearSolve.jl, we can simply use ```autodiff=AutoSparseForwardDiff()``` to automatically exploit the sparsity pattern of Jacobian matrices: +To cut down the of Jacobian building overhead, we can choose to exploit the sparsity pattern and deploy matrix coloring during Jacobian construction. With NonlinearSolve.jl, we can simply use `autodiff=AutoSparseForwardDiff()` to automatically exploit the sparsity pattern of Jacobian matrices: ```@example ill_conditioned_nlprob @benchmark solve(prob_brusselator_2d, - NewtonRaphson(linsolve=KrylovJL_GMRES(), precs=incompletelu, concrete_jac=true, - autodiff=AutoSparseForwardDiff())); + NewtonRaphson(linsolve = KrylovJL_GMRES(), precs = incompletelu, concrete_jac = true, + autodiff = AutoSparseForwardDiff())); nothing # hide ``` @@ -292,11 +292,11 @@ To setup matrix coloring for the jacobian sparsity pattern, we can simply get th ```@example ill_conditioned_nlprob using ArrayInterface colorvec = ArrayInterface.matrix_colors(jac_sparsity) -ff = NonlinearFunction(brusselator_2d_loop; jac_prototype=float.(jac_sparsity), colorvec) +ff = NonlinearFunction(brusselator_2d_loop; jac_prototype = float.(jac_sparsity), colorvec) prob_brusselator_2d_sparse = NonlinearProblem(ff, u0, p) @benchmark solve(prob_brusselator_2d_sparse, - NewtonRaphson(linsolve=KrylovJL_GMRES(), precs=incompletelu, concrete_jac=true, - autodiff=AutoSparseForwardDiff())); + NewtonRaphson(linsolve = KrylovJL_GMRES(), precs = incompletelu, concrete_jac = true, + autodiff = AutoSparseForwardDiff())); nothing # hide -``` \ No newline at end of file +``` diff --git a/test/basictests.jl b/test/basictests.jl index 8784d4d0e..35a34f3d6 100644 --- a/test/basictests.jl +++ b/test/basictests.jl @@ -49,7 +49,6 @@ end @test (@ballocated solve!($cache)) < 200 end - precs = [ NonlinearSolve.DEFAULT_PRECS, (args...) -> (Diagonal(rand!(similar(u0))), nothing),