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It would be really nice to be able to solve the variable coefficient Poisson equation with ExaDG. Apart from being an interesting PDE in and of itself, it is for example relevant for an efficient prec…
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Implement Poisson Disk/Sphere Point Distribution - See Carl
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Hi all,
fitting data to a Poisson distribution does not work as stated in the doc of `fit_mle`.
with `v0.25.95` and `v0.25.98`
```
julia> x = [0.3721095631823048, 0.4327034042239485, 0.432913…
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Hi all,
I want to solve a poisson equation
ΔD = v
The Laplacian Δ is usually a symmetric positive-semidefinite matrix. Since your documentation of the sparse Cholesky decomposition says
…
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1. Average the rank of a given gene across all McIsaac timepoints 15 to end. Reproduce the binning and make a boxplot that shows the 15 minute McIsaac vs binding and the rank averaged mcisaac vs the b…
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Probability distributions also have calculable variances. Variances are a way of measuring the spread or dispersion of values and probabilities in the distribution. For the Poisson distribution, the v…
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Running on colab.research.google.com (`v2.8.0-0-g3f878cff5b6` at time of writing).
Looking at this code.
```
import tensorflow as tf
import math
print(tf.version.GIT_VERSION, tf.version.VER…
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The CDF for several distributions does not correctly calculate the probability.
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I notice the implementation of Poisson-distributed spike as below
```python
rand_num = Variable(torch.rand(input.size(0), input.size(1), input.size(2), input.size(3)).cuda())
Poisson_d_input = (tor…
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The Poisson function only accepts xvals to be integers (k has to belong to Natural numbers), which is not ensure. It doesn't work.