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function test_convergence (dts:: AbstractArray ,
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prob:: Union{AbstractRODEProblem,AbstractSDEProblem,AbstractEnsembleProblem} ,
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alg,ensemblealg= EnsembleThreads ();
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- trajectories,save_start= true ,save_everystep= true ,timeseries_steps = 1 ,
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+ trajectories,save_start= true ,save_everystep= true ,
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timeseries_errors= save_everystep,adaptive= false ,
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weak_timeseries_errors= false ,weak_dense_errors= false ,
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expected_value= nothing ,kwargs... )
@@ -56,7 +56,7 @@ function test_convergence(dts::AbstractArray,
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_solutions = Array {Any} (undef,length (dts))
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for i in 1 : length (dts)
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sol = solve (ensemble_prob,alg,ensemblealg;dt= dts[i],adaptive= adaptive,
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- save_start= save_start,save_everystep= save_everystep,timeseries_steps = timeseries_steps,
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+ save_start= save_start,save_everystep= save_everystep,
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timeseries_errors= timeseries_errors,weak_timeseries_errors= weak_timeseries_errors,
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weak_dense_errors= weak_dense_errors,trajectories= Int (trajectories),kwargs... )
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@info " dt: $(dts[i]) ($i /$N )"
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function analyticless_test_convergence (dts:: AbstractArray ,
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prob:: Union{AbstractRODEProblem,AbstractSDEProblem,AbstractSDDEProblem} ,
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alg,test_dt;trajectories= 100 ,
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- save_everystep= true ,timeseries_steps = 1 ,
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+ save_everystep= true ,
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timeseries_errors= save_everystep,adaptive= false ,
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weak_timeseries_errors= false ,weak_dense_errors= false ,use_noise_grid= true ,kwargs... )
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_solutions = []
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