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Hi! Since scipy.ode support features such as ```solout``` that odeint currently don't support,
if one want to setup a stopping criteria and therefore do some optimization with the system they setup,…
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Also any other simulation functions we have.
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When we determine the step size of the integrator, I would like to have some function to return the status of taking a candidate step, and then adjust the step size based on that returned status.
T…
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Hi,
I am doing a PhD in nonlinear optics in which we encounter several semilinear parabolic PDE like the Nonlinear Schrödinger Equation (NLSE) and its variant.
Most of these PDEs are semilinear …
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Hi all, sure you've seen my slack messages.
`Trixi.jl` has a great user interface and it's very flexible. However, anyone who is visiting the `Trixi.jl` page and is actually using it for research…
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It looks like algorithms that extrapolate fail if `set_t!` is used in a callback in OrdinaryDiffEq v5.51.1 and Julia v1.5.3. For example,
```julia
julia> using LinearAlgebra, OrdinaryDiffEq
jul…
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Some sophisticated applications need to use an ODE integrator with controlled sampling steps (which can be independent of the integration steps) such as provided by `scipy.integrate.ode`. One example …
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This code:
```
"""
>>> solve()
"""
import numpy as np
import scipy.integrate
class Rhs:
def f(self, x, y):
return np.zeros_like(y)
def solve():
# Options for the ODE solver
rhs…
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This code:
```
"""
>>> solve()
"""
import numpy as np
import scipy.integrate
class Rhs:
def f(self, x, y):
return np.zeros_like(y)
def solve():
# Options for the ODE solver
rhs…
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The issue is a bit similar to #1769 .
I have a program where compilation takes roughly around 10-15 minutes on each run. The program is available [here](https://github.com/ahmadsalim/numpyro/blob/…