-
The numerical differentiation in the method `ni_pendulum`, part of `models.py` is artisanal and open to improvement.
Implement a standard method. More information [here](https://docs.sympy.org/0.7…
-
List of things to do and check:
_______
**CLI**:
- [x] `train` should require only the folder in which data are stored.
- [x] Hence `datagen` should copy `meta.yaml`.
_______
**Consistency check…
-
I am wondering is there a provision to numerically differentiate the result : dx/dy, between say tables of x and y values as input, given the step length .
am610 updated
5 years ago
-
May I know whether the auto differentiation feature working now? The ceres dependency seems to indicate that. But I did some simple test, it seems that numerical jacobian is still the default behavior…
-
Also called a whittaker smoother, implemented in pracma::whittaker
See:
Eilers, Paul HC. "A perfect smoother." Analytical chemistry 75.14 (2003): 3631-3636.
Stickel, Jonathan J. "Data smoothing a…
-
Hi, this is a question or a potential enhancement.
The "Gekko Optimization Suite" (2018) paper states that "GEKKO operands are required so that first and second derivatives are calculated with auto…
-
If I compile this example here:
```c++
// Compile with clang++ -std=c++11 -fplugin=/usr/lib/clad.so cladConfusingWarnings.cxx -o cladConfusingWarnings
#include "clad/Differentiator/Differentiator…
-
This may be of interest.
> Does the use of auto-differentiation yield reasonable updates to deep neural networks that represent neural ODEs? Through mathematical analysis and numerical evidence, we…
-
# Feature request:
There should be a test that is generic in the system that uses numerical differentiation to
verify that the analytic solutions we are implementing indeed solve the equations of th…
-
I've met an issue that to do GWAS with CNVcaller results. My samples' numeric pheon dont have classic case/control differentiation, and I have no idea to transformed genotype to a similar biallelic ge…