Hi there!! to be clear #36
Comments
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to be clear, it is a pkg, cos i have tried exactly that an i get an error |
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Sorry, I can't get what you mean. Can you describe your usage, and post your code and the error message here, that would be nice to explore the bugs😃 |
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julia> using FractionalDiffEq, Plots (process:9076): GLib-GIO-WARNING **:
14:30:09 <https://www.youtube.com/watch?v=ti16lYst-Bc&t=43200s>.828:
Unexpectedly, UWP app `6760NGPDFLab.PDFX_1.3.15.0_x64__sbe4t8mqwq93a'
(AUMId `6760NGPDFLab.PDFX_sbe4t8mqwq93a!App') supports 32 extensions but
has no verbs julia> function chua!(du, x, p, t) a = 10.725; b = 10.593; c =
0.268; m0 = -1.1726; m1 = -0.7872; du[1] =
a*(x[2]-x[1]-(m1*x[1]+0.5*(m0-m1)*(abs(x[1]+1)-abs(x[1]-1)))) du[2] =
u[1]-u[2]+u[3] du[3] = -b*u[2]-c*u[3] end chua! (generic function with 1
method) julia> α = [0.93, 0.99, 0.92]; julia> x0 = [0.2; -0.1; 0.1]; julia>
h = 0.001 0.001 julia> prob = FODESystem(chua!, α, x0) FODESystem(chua!,
[0.93, 0.99, 0.92], [0.2, -0.1, 0.1]) julia> tn = 200; julia> result =
solve(prob, h, tn, NonLinearAlg()) ERROR: MethodError: no method matching
chua!(::Float64, ::Vector{Float64}, ::Int64) Closest candidates are:
chua!(::Any,
::Any, ::Any, ::Any) at REPL[2]:1 Stacktrace: [1] macro expansion @
C:\Users\BELOVED\.julia\packages\FractionalDiffEq\uk4Ug\src\NonLinear\NonLinear.jl:38
[inlined] [2] macro expansion @ .\simdloop.jl:77 [inlined] [3] macro
expansion @
C:\Users\BELOVED\.julia\packages\FractionalDiffEq\uk4Ug\src\NonLinear\NonLinear.jl:37
[inlined] [4] macro expansion @ .\simdloop.jl:77 [inlined] [5]
solve(prob::FODESystem, h::Float64, tn::Int64, ::NonLinearAlg, L0::Float64) @
FractionalDiffEq
C:\Users\BELOVED\.julia\packages\FractionalDiffEq\uk4Ug\src\NonLinear\NonLinear.jl:34
[6] solve(prob::FODESystem, h::Float64, tn::Int64, ::NonLinearAlg) @
FractionalDiffEq
C:\Users\BELOVED\.julia\packages\FractionalDiffEq\uk4Ug\src\NonLinear\NonLinear.jl:15
[7] top-level scope @ REPL[8]:1 I want to understand where I missed it
…On Tue, Jun 7, 2022 at 3:45 PM Qingyu Qu ***@***.***> wrote:
Sorry, I can't get what you mean.
Can you describe your usage, and post your code and the error message
here, that would be nice to explore the bugs😃
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May I ask for the version of FractionalDiffEq.jl? You can get this by: julia>]
pkg>st FractionalDiffEq |
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pkg> st FractionalDiffEq |
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Oops, I think that is a very old version, please update FractionalDiffEq.jl to the latest version: julia> using Pkg
julia> Pkg.update("FractionalDiffEq")Then the Chua system example in README would be working: https://github.com/SciFracX/FractionalDiffEq.jl#system-of-fractional-differential-equations |
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julia> using FractionalDiffEq, Plots
(process:8496): GLib-GIO-WARNING **: 16:38:52.722: Unexpectedly, UWP app
`6760NGPDFLab.PDFX_1.3.15.0_x64__sbe4t8mqwq93a' (AUMId
`6760NGPDFLab.PDFX_sbe4t8mqwq93a!App') supports 32 extensions but has no
verbs
julia> function chua!(du, x, p, t)
a = 10.723; b = 10.593; c = 0.268
m0 = -1.1726
m1 = -0.7872
du[1] = a*(x[2]-x[1]-(m1*x[1]+0.5*(m0-m1)*(abs(x[1]+1)-abs(x[1]-1))))
du[2] = x[1]-x[2]+x[3]
du[3] = -b*x[2]-c*x[3]
end
chua! (generic function with 1 method)
julia> α = [0.93, 0.99, 0.92];
julia> x0 = [0.2; -0.1; 0.1];
julia> h = 0.01; tspan = (0, 100);
julia> prob = FODESystem(chua!, α, x0, tspan)
ERROR: MethodError: no method matching FODESystem(::typeof(chua!),
::Vector{Float64}, ::Vector{Float64}, ::Tuple{Int64, Int64})
Closest candidates are:
FODESystem(::Function, ::AbstractArray, ::AbstractArray) at
C:\Users\BELOVED\.julia\packages\FractionalDiffEq\uk4Ug\src\PECE.jl:112
FODESystem(::Any, ::Any, ::Any) at
C:\Users\BELOVED\.julia\packages\FractionalDiffEq\uk4Ug\src\PECE.jl:112
Stacktrace:
[1] top-level scope
@ REPL[9]:1
julia> prob = FODESystem(chua!, α, x0)
FODESystem(chua!, [0.93, 0.99, 0.92], [0.2, -0.1, 0.1])
julia> result = solve(prob, h, tspan, NonLinearAlg())
ERROR: MethodError: no method matching /(::Tuple{Int64, Int64}, ::Float64)
Closest candidates are:
/(::Any, ::ChainRulesCore.AbstractThunk) at
C:\Users\BELOVED\.julia\packages\ChainRulesCore\GUvJT\src\tangent_types\thunks.jl:33
/(::StridedArray{P}, ::Real) where P<:Dates.Period at
C:\Users\BELOVED\AppData\Local\Programs\Julia-1.7.3\share\julia\stdlib\v1.7\Dates\src\deprecated.jl:44
/(::Union{SparseArrays.SparseVector{Tv, Ti}, SubArray{Tv, 1,
<:SparseArrays.AbstractSparseVector{Tv, Ti},
Tuple{Base.Slice{Base.OneTo{Int64}}}, false}, SubArray{Tv, 1,
<:SparseArrays.AbstractSparseMatrixCSC{Tv, Ti},
Tuple{Base.Slice{Base.OneTo{Int64}}, Int64}, false}} where {Tv, Ti},
::Number) at
C:\Users\BELOVED\AppData\Local\Programs\Julia-1.7.3\share\julia\stdlib\v1.7\SparseArrays\src\sparsevector.jl:1476
...
Stacktrace:
[1] solve(prob::FODESystem, h::Float64, tn::Tuple{Int64, Int64},
::NonLinearAlg, L0::Float64)
@ FractionalDiffEq
C:\Users\BELOVED\.julia\packages\FractionalDiffEq\uk4Ug\src\NonLinear\NonLinear.jl:17
[2] solve(prob::FODESystem, h::Float64, tn::Tuple{Int64, Int64},
::NonLinearAlg)
@ FractionalDiffEq
C:\Users\BELOVED\.julia\packages\FractionalDiffEq\uk4Ug\src\NonLinear\NonLinear.jl:15
[3] top-level scope
@ REPL[11]:1
I guess I am still missing something even after the update. I am very
grateful for your responses. I will be grateful if you still take a look at
it
…On Tue, Jun 7, 2022 at 4:03 PM Qingyu Qu ***@***.***> wrote:
Oops, I think that is a very old version, please update
FractionalDiffEq.jl to the latest version:
julia> using Pkg
julia> Pkg.update("FractionalDiffEq")
Then the Chua system example in README would be working:
https://github.com/SciFracX/FractionalDiffEq.jl#system-of-fractional-differential-equations
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Very sorry for the inconvenience, I think the latest version 0.2.6 should work, there are a lot of changes compared to the old versions. |
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Julia or FractionalDiffEq
…On Tue, Jun 7, 2022, 5:16 PM Qingyu Qu ***@***.***> wrote:
Very sorry for the inconvenience, I think the latest version 0.2.6 should
work, there are a lot of changes compared to the old versions.
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I think you are using FractionalDiffEq.jl 0.2.5, that is a very old version( I have not released for a long time, my apologies🥲), I think updating to 0.2.6 would solve all of the problems.😃 |
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How do i do so |
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Yes, update FractionalDiffEq.jl to version 0.2.6, there should be no problems.😄 |
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Yea, Thanks a lot. so this is what I did, I download the v1.8.0 of julia and it worked perfectly. Now I will try to build a fractional order lorenz system. I want to do so in the caputo sense, I believe there is provision for it. |
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It is great to see that FractionalDiffEq.jl is helping! So I will close this issue for now. If you have any other questions about this package, don't hesitate to ping me.😄 |
Hi there!!
I think the right usage should be:
For the system of fractional ordinary differential equations, there are many solvers available, for example, Grunwald Letnikov difference method
GL, fractional linear multiple-step methodFLMMBDF,FLMMTrapandFLMMNewtonGregory. Also, there are solvers for Caputo-Fabrizio fractional operators such asNewtonPolynomial.Originally posted by @ErikQQY in #35 (comment)
The text was updated successfully, but these errors were encountered: