# SciMLBenchmarks.jl: Comparison with Fixed timestep methods
**URL:** https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246
**Category:** Modelling & Simulations
**Created:** [August 3, 2022, 4:37pm UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246 "2022-08-03T16:37:11Z")
**Posts on this page:** 13
**Page:** 1
### Author:  [@Mikel\_Antonana](https://discourse.julialang.org/u/Mikel_Antonana)
#### Post date: [August 3, 2022, 4:37pm UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246/1 "2022-08-03T16:37:11Z")
Hi,
I have run a benchmark to compare adaptive and fixed step size method DPRKN12():
```julia
tols=abstols=reltols=[1e-8, 1e-9, 1e-10, 1e-11, 1e-12, 1e-13, 1e-14, 1e-15]
dts= [15., 25.,35., 50., 65., 75., 100., 125.]
setups = [
Dict(:alg=>DPRKN12(),:adaptive=>true)
Dict(:alg=>DPRKN12(),:adaptive=>false,:dts=>dts)
]
solnames = ["DPRKN12 (adaptive)", "DPRKN12 (fixed)"]
wp1 = WorkPrecisionSet(prob,abstols,reltols,setups;appxsol=test_solx2nd,save_everystep=false,numruns=10,names=solnames);
plot(wp1)
```
I got the following warning which I relate to "Dict(:alg=\>DPRKN12(),:adaptive=\>false,:dts=\>dts) " code. Did I make something wrong?
“┌ Warning: Warning: Unrecognized keyword arguments found. Future versions will error.
│ The only allowed keyword arguments to `solve` are: …”
Thanks,
M.
---
### Author:  [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [August 3, 2022, 10:48pm UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246/2 "2022-08-03T22:48:12Z")
> [@Mikel\_Antonana](#):
>
> I got the following warning which I relate to "Dict(:alg=\>DPRKN12(),:adaptive=\>false,:dts=\>dts) " code. Did I make something wrong?
>
> “┌ Warning: Warning: Unrecognized keyword arguments found. Future versions will error.
> │ The only allowed keyword arguments to `solve` are: …”
>
> Thanks,
> M.
Can you share what it said? `...` is not very informative when what comes after that tells you exactly what caused the issue.
---
### Author:  [@Mikel\_Antonana](https://discourse.julialang.org/u/Mikel_Antonana)
#### Post date: [August 4, 2022, 7:58am UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246/3 "2022-08-04T07:58:18Z")
Okay, this is the full message:
> Blockquote
> ┌ Warning: Warning: Unrecognized keyword arguments found. Future versions will error.
> │ The only allowed keyword arguments to `solve` are:
> │ (:dense, :saveat, :save\_idxs, :tstops, :d\_discontinuities, :save\_everystep, :save\_on, :save\_start, :save\_end, :initialize\_save, :adaptive, :abstol, :reltol, :dt, :dtmax, :dtmin, :force\_dtmin, :internalnorm, :controller, :gamma, :beta1, :beta2, :qmax, :qmin, :qsteady\_min, :qsteady\_max, :qoldinit, :failfactor, :calck, :alias\_u0, :maxiters, :callback, :isoutofdomain, :unstable\_check, :verbose, :merge\_callbacks, :progress, :progress\_steps, :progress\_name, :progress\_message, :timeseries\_errors, :dense\_errors, :calculate\_errors, :initializealg, :alg, :save\_noise, :delta, :seed, :alg\_hints, :kwargshandle, :trajectories, :batch\_size, :sensealg, :advance\_to\_tstop, :stop\_at\_next\_tstop)
> │ See [https://diffeq.sciml.ai/stable/basics/common\_solver\_opts/](https://diffeq.sciml.ai/stable/basics/common_solver_opts/) for more details.
> │
> │ Set kwargshandle=KeywordArgError for an error message and more details.
> │ Set kwargshandle=KeywordArgSilent to ignore this message.
> └ @ DiffEqBase /home/mikel/.julia/packages/DiffEqBase/ziNGu/src/solve.jl:210
> Blockquote
---
### Author:  [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [August 4, 2022, 10:30am UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246/4 "2022-08-04T10:30:35Z")
Are you on an old version? The next thing that it would print out is the name of the extra argument? Can you share `]st`?
---
### Author:  [@Mikel\_Antonana](https://discourse.julialang.org/u/Mikel_Antonana)
#### Post date: [August 4, 2022, 12:29pm UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246/5 "2022-08-04T12:29:47Z")
> [@ChrisRackauckas](#):
>
> The next thing that it would print out is the name of the extra argument?
I am using Julia 1.6.6 version and ] st info is:
[6e4b80f9] BenchmarkTools v1.3.1
[2b5f629d] DiffEqBase v6.83.1
[f3b72e0c] DiffEqDevTools v2.29.0
[5789e2e9] FileIO v1.14.0
[0e44f5e4] Hwloc v2.0.0
[7073ff75] IJulia v1.23.3
[58bc7355] IRKGaussLegendre v0.1.1
[033835bb] JLD2 v0.4.22
[b964fa9f] LaTeXStrings v1.3.0
[0db19996] NBInclude v2.3.0
[1dea7af3] OrdinaryDiffEq v5.71.0
[d96e819e] Parameters v0.12.3
[91a5bcdd] Plots v1.27.6
[731186ca] RecursiveArrayTools v2.26.3
[189a3867] Reexport v1.2.2
[37e2e46d] LinearAlgebra
Which extra argument do you mean to print?
Anyway, I would like to clarify that the result is correct (I attach the result of the plot(w1)). The drawback is that the warning messages fill the Jupyter document.
---
### Author:  [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [August 4, 2022, 12:31pm UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246/6 "2022-08-04T12:31:46Z")
What happens if you do `]up`? You’re on old versions. If that doesn’t work, `]add DiffEqDevTools@2.31`
---
### Author:  [@Mikel\_Antonana](https://discourse.julialang.org/u/Mikel_Antonana)
#### Post date: [August 4, 2022, 1:30pm UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246/7 "2022-08-04T13:30:58Z")
> [@ChrisRackauckas](#):
>
> DiffEqDevTools
I do ] up, and warning messages have disappeared.
Thank a lot
- For another time, I will previously update to the latest version.
---
### Author:  [@Mikel\_Antonana](https://discourse.julialang.org/u/Mikel_Antonana)
#### Post date: [August 4, 2022, 5:02pm UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246/8 "2022-08-04T17:02:25Z")
Sorry, but I’m making some improvements to our IRKGL16 implementation and I have a new question. In the future, can we use kwargs keyword arguments in the ODEProblem definition?
```julia
ODEProblem(f::ODEFunction,u0,tspan,p=NullParameters();kwargs...)
```
Now, we use kwargs arguments in the IRKGL16() mixed precision implementation and the execution shows the following warning message:
```julia
prob= ODEProblem(NbodyODE!,u0,tspan,Gm1;lpp=lpp)
sol=solve(prob,IRKGL16(), reltol=1e-20, abstol=1e-20, adaptive=true)
```
```julia
┌ Warning: Unrecognized keyword arguments found. Future versions will error.
│ The only allowed keyword arguments to `solve` are:
│ (:dense, :saveat, :save_idxs, :tstops, :d_discontinuities, :save_everystep, :save_on, :save_start, :save_end, :initialize_save, :adaptive, :abstol, :reltol, :dt, :dtmax, :dtmin, :force_dtmin, :internalnorm, :controller, :gamma, :beta1, :beta2, :qmax, :qmin, :qsteady_min, :qsteady_max, :qoldinit, :failfactor, :calck, :alias_u0, :maxiters, :callback, :isoutofdomain, :unstable_check, :verbose, :merge_callbacks, :progress, :progress_steps, :progress_name, :progress_message, :timeseries_errors, :dense_errors, :weak_timeseries_errors, :weak_dense_errors, :calculate_errors, :initializealg, :alg, :save_noise, :delta, :seed, :alg_hints, :kwargshandle, :trajectories, :batch_size, :sensealg, :advance_to_tstop, :stop_at_next_tstop, :default_set, :second_time, :prob_choice)
│
│ See https://diffeq.sciml.ai/stable/basics/common_solver_opts/ for more details.
│
│ Set kwargshandle=KeywordArgError for an error message.
│ Set kwargshandle=KeywordArgSilent to ignore this message.
└ @ DiffEqBase /home/mikel/.julia/packages/DiffEqBase/HDcso/src/solve.jl:816
Unrecognized keyword arguments: [:lpp]
Áfter update, I understand I am using the last version,
[6e4b80f9] BenchmarkTools v1.3.1
[2b5f629d] DiffEqBase v6.94.4
[f3b72e0c] DiffEqDevTools v2.31.0
[5789e2e9] FileIO v1.15.0
[0e44f5e4] Hwloc v2.0.0
[7073ff75] IJulia v1.23.3
[58bc7355] IRKGaussLegendre v0.1.2
[033835bb] JLD2 v0.4.22
[b964fa9f] LaTeXStrings v1.3.0
[0db19996] NBInclude v2.3.0
[1dea7af3] OrdinaryDiffEq v6.19.3
[d96e819e] Parameters v0.12.3
[91a5bcdd] Plots v1.31.5
[731186ca] RecursiveArrayTools v2.31.2
[189a3867] Reexport v1.2.2
[37e2e46d] LinearAlgebra
```
Thank you in advance for your help
M.
---
### Author:  [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [August 4, 2022, 8:26pm UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246/9 "2022-08-04T20:26:20Z")
> [@Mikel\_Antonana](#):
>
> In the future, can we use kwargs keyword arguments in the ODEProblem definition?
Yes. `lpp` isn’t a valid keyword argument though. If it’s an algorithm-specific argument, then it should go into the algorithm, i.e. `IRKGL16(;lpp=lpp)` or `IRKGL16(lpp)`.
---
### Author:  [@Mikel\_Antonana](https://discourse.julialang.org/u/Mikel_Antonana)
#### Post date: [August 5, 2022, 10:22am UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246/10 "2022-08-05T10:22:13Z")
“lpp” is not algorithm-specific argument.
Do you have an example where `kwargs` keyword arguments are applied ?
Regards,
M.
---
### Author:  [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [August 5, 2022, 12:15pm UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246/11 "2022-08-05T12:15:07Z")
> [@Mikel\_Antonana](#):
>
> Do you have an example where `kwargs` keyword arguments are applied ?
What do you mean? The list is just [https://diffeq.sciml.ai/stable/basics/common\_solver\_opts/](https://diffeq.sciml.ai/stable/basics/common_solver_opts/)
> [@Mikel\_Antonana](#):
>
> “lpp” is not algorithm-specific argument.
What does it do?
---
### Author:  [@Mikel\_Antonana](https://discourse.julialang.org/u/Mikel_Antonana)
#### Post date: [August 5, 2022, 4:39pm UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246/12 "2022-08-05T16:39:42Z")
I was wrong and I have already fixed the problem with the “lpp” argument.
Thank you, and I hope to finish the improvements in the IRKGL16 implementation soon.
---
### Author:  [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)
#### Post date: [August 5, 2022, 5:40pm UTC](https://discourse.julialang.org/t/scimlbenchmarks-jl-comparison-with-fixed-timestep-methods/85246/13 "2022-08-05T17:40:54Z")
Good to hear. Yeah I saw some of the benchmarks and it looks really good!