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Great job! I wish that I had seen this earlier.
I would like to recommend
1. [When and why PINNs fail to train: A neural tangent kernel perspective](https://arxiv.org/abs/2007.14527)
2. [On the e…
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Spawned from #3093
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`imPDRC` exposes ill-typed expressions!
- Inferred type `Boolean` does not match expected type `Rational`
- Associative arithmetic operation expects all operands to b…
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Thank you for your excellent work.
I am trying to understand the formulae of the OptNet paper, but some parts are hard to follow for me.
Especially in Eq. (7), the paper says
> Thus, if we mult…
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In the theory of differential equations and Abelian varieties, Riemann theta functions and their relatives play an important role. Implement these in Sage!
See also:
- [RiemannTheta](https://gith…
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For differential equations there already are both methods for OD and DO, that deal with the fact that time is continuous.
But for infinite dimensional optimization problems the optimality criteria ca…
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Sometimes one needs stochastic input in only some of your differential equations.
If the noise is, e.g., also correlated, that means constructing a CorrelatedWienerProcess
with a very large correlat…
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On a quick skim, it appears subsets of our DSL macro processing code overlap with MTK macro processing code. We should switch to MTK's code as much as possible to avoid needing to maintain our own mac…
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# Current implementation
```python
# Import the ODEModel class
from pySODM.models.base import ODEModel
# Define the model equations
class ODE_SIR(ODEModel):
"""
Simple SIR model wi…
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* [Link](https://arxiv.org/pdf/1904.07200.pdf)
* Title: A Discussion on Solving Partial Differential Equations using Neural Networks
* Keywords (optional):
* Authors (optional):
* Reason (o…
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**TLTR**
*I would like to implement a problem type for differential inclusions (aka differential equations with inequalities).
Is that welcome/fitting to SciML?*
# Terminology
There are mi…