Hi, I just have another problem in v1.18's ensemble simulation. When setting adaptive=false & save_everystep=false, solver would return some strange solutions, just like below (I set identical time span for all probs (0.,10.)):
the output should contain initial state and final state (i.e., solutions at times 0.0 and 10.0), however it just gives such strange output.
By the way, I even found the weirdest solution I've ever seen, just hard to explain how it can be produced:
julia> sol.u[4]
retcode: Default
Interpolation: 1st order linear
t: 2-element view(::Matrix{Float64}, :, 4) with eltype Float64:
-1504.6714850326832
10.0
u: 2-element view(::Matrix{SVector{3, Float64}}, :, 4) with eltype SVector{3, Float64}:
[2.0211921684857396e16, -1.935180723694679e16, 6.308394240986915e15]
[-5.691759766696827, -5.432312220413224, 24.120673587059013]
What's more, even for adaptive=false without assigning save_everystep this error happens [[sometimes]]:
Could it be the problem of my laptop's GPU? But my GPU hasn't gone through any "hard labor" since I bought the laptop...
I will try the program on other people's workstation and report if I have some discovery.
Hi, I just have another problem in v1.18's ensemble simulation. When setting
adaptive=false
&save_everystep=false
, solver would return some strange solutions, just like below (I set identical time span for all probs(0.,10.)
):the output should contain initial state and final state (i.e., solutions at times 0.0 and 10.0), however it just gives such strange output. By the way, I even found the weirdest solution I've ever seen, just hard to explain how it can be produced:
What's more, even for
adaptive=false
without assigningsave_everystep
this error happens [[sometimes]]:Could it be the problem of my laptop's GPU? But my GPU hasn't gone through any "hard labor" since I bought the laptop... I will try the program on other people's workstation and report if I have some discovery.