Perk p2 single

Project.toml

@@ -6,10 +6,12 @@ version = "0.7.1-pre"
 [deps]
 CodeTracking = "da1fd8a2-8d9e-5ec2-8556-3022fb5608a2"
 ConstructionBase = "187b0558-2788-49d3-abe0-74a17ed4e7c9"
+Convex = "f65535da-76fb-5f13-bab9-19810c17039a"
 DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
 DiffEqBase = "2b5f629d-d688-5b77-993f-72d75c75574e"
 DiffEqCallbacks = "459566f4-90b8-5000-8ac3-15dfb0a30def"
 Downloads = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
+ECOS = "e2685f51-7e38-5353-a97d-a921fd2c8199"
 EllipsisNotation = "da5c29d0-fa7d-589e-88eb-ea29b0a81949"
 FillArrays = "1a297f60-69ca-5386-bcde-b61e274b549b"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
@@ -20,8 +22,10 @@ LinearMaps = "7a12625a-238d-50fd-b39a-03d52299707e"
 LoopVectorization = "bdcacae8-1622-11e9-2a5c-532679323890"
 MPI = "da04e1cc-30fd-572f-bb4f-1f8673147195"
 MuladdMacro = "46d2c3a1-f734-5fdb-9937-b9b9aeba4221"
+NLsolve = "2774e3e8-f4cf-5e23-947b-6d7e65073b56"
 Octavian = "6fd5a793-0b7e-452c-907f-f8bfe9c57db4"
 OffsetArrays = "6fe1bfb0-de20-5000-8ca7-80f57d26f881"
+OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
 P4est = "7d669430-f675-4ae7-b43e-fab78ec5a902"
 Polyester = "f517fe37-dbe3-4b94-8317-1923a5111588"
 PrecompileTools = "aea7be01-6a6a-4083-8856-8a6e6704d82a"

examples/structured_1d_dgsem/elixir_burgers_PERK3.jl

@@ -0,0 +1,53 @@
+using OrdinaryDiffEq
+using Trixi
+
+###############################################################################
+# semidiscretization of the (inviscid) Burgers' equation
+
+equations = InviscidBurgersEquation1D()
+
+initial_condition = initial_condition_convergence_test
+
+# Create DG solver with polynomial degree = 3 and (local) Lax-Friedrichs/Rusanov flux as surface flux
+solver = DGSEM(polydeg = 4, surface_flux = flux_lax_friedrichs)
+
+coordinates_min = (0.0,) # minimum coordinate
+coordinates_max = (1.0,) # maximum coordinate
+cells_per_dimension = (64,)
+
+# Create curved mesh with 16 cells
+mesh = StructuredMesh(cells_per_dimension, coordinates_min, coordinates_max)
+
+semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition, solver,
+                                    source_terms = source_terms_convergence_test)
+
+###############################################################################
+# ODE solvers, callbacks etc.
+
+tspan = (0.0, 2.0)
+ode = semidiscretize(semi, tspan)
+
+summary_callback = SummaryCallback()
+
+analysis_interval = 200
+analysis_callback = AnalysisCallback(semi, interval = analysis_interval)
+
+alive_callback = AliveCallback(analysis_interval = analysis_interval)
+
+stepsize_callback = StepsizeCallback(cfl = 3.0)
+
+callbacks = CallbackSet(summary_callback,
+                        analysis_callback, alive_callback,
+                        stepsize_callback)
+
+###############################################################################
+# run the simulation
+
+ode_algorithm = PERK3(8, semi)
+
+sol = Trixi.solve(ode, ode_algorithm,
+                  dt = 1.0, # solve needs some value here but it will be overwritten by the stepsize_callback
+                  save_everystep = false, callback = callbacks);
+
+# Print the timer summary
+summary_callback()

examples/tree_1d_dgsem/elixir_advection_PERK2.jl

@@ -0,0 +1,59 @@
+
+using OrdinaryDiffEq
+using Trixi
+
+###############################################################################
+# semidiscretization of the linear advection equation
+
+advection_velocity = 1.0
+equations = LinearScalarAdvectionEquation1D(advection_velocity)
+
+# Create DG solver with polynomial degree = 3 and (local) Lax-Friedrichs/Rusanov flux as surface flux
+solver = DGSEM(polydeg = 3, surface_flux = flux_lax_friedrichs)
+
+coordinates_min = -1.0 # minimum coordinate
+coordinates_max = 1.0 # maximum coordinate
+
+# Create a uniformly refined mesh with periodic boundaries
+mesh = TreeMesh(coordinates_min, coordinates_max,
+                initial_refinement_level = 4,
+                n_cells_max = 30_000) # set maximum capacity of tree data structure
+
+# A semidiscretization collects data structures and functions for the spatial discretization
+semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition_convergence_test,
+                                    solver)
+
+###############################################################################
+# ODE solvers, callbacks etc.
+
+# Create ODE problem with time span from 0.0 to 1.0
+ode = semidiscretize(semi, (0.0, 1.0));
+
+# At the beginning of the main loop, the SummaryCallback prints a summary of the simulation setup
+# and resets the timers
+summary_callback = SummaryCallback()
+
+# The AnalysisCallback allows to analyse the solution in regular intervals and prints the results
+analysis_callback = AnalysisCallback(semi, interval = 100)
+
+# The StepsizeCallback handles the re-calculation of the maximum Δt after each time step
+stepsize_callback = StepsizeCallback(cfl = 2.5/4)
+
+# Create a CallbackSet to collect all callbacks such that they can be passed to the ODE solver
+callbacks = CallbackSet(summary_callback, analysis_callback,
+                        stepsize_callback)
+
+###############################################################################
+# run the simulation
+
+ode_algorithm = PERK2(6, semi)
+
+sol = Trixi.solve(ode, ode_algorithm,
+                  dt = 1.0, # solve needs some value here but it will be overwritten by the stepsize_callback
+                  save_everystep = false, callback = callbacks);
+
+# Print the timer summary
+summary_callback()
+
+# Show the error of the elixir
+analysis_callback(sol)

src/Trixi.jl

@@ -276,6 +276,8 @@ export trixi_include, examples_dir, get_examples, default_example,
 
 export ode_norm, ode_unstable_check
 
+export PERK2, PERK3
+
 export convergence_test, jacobian_fd, jacobian_ad_forward, linear_structure
 
 export DGMulti, DGMultiBasis, estimate_dt, DGMultiMesh, GaussSBP

src/auxiliary/auxiliary.jl

@@ -346,6 +346,20 @@ function register_error_hints()
     return nothing
 end
 
+function read_file(file_path::AbstractString, data_type::Type = Float64)
+    @assert isfile(file_path) "Couldn't find file"
+    data = zeros(data_type, 0)
+    open(file_path, "r") do file
+        while !eof(file)
+            line_content = readline(file)
+            append!(data, parse(data_type, line_content))
+        end
+    end
+    num_lines = length(data)
+
+    return num_lines, data
+end
+
 """
     Trixi.download(src_url, file_path)