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Update readme and Project.toml to bump version to v0.1.1
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@smith-garrett
smith-garrett committed Feb 21, 2023
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2 changes: 1 addition & 1 deletion Project.toml
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name = "Uniformization"
uuid = "f44d862a-bb5d-4651-8b42-7616042c4b61"
authors = ["Garrett Smith <[email protected]> and contributors"]
version = "0.1.0"
version = "0.1.1"

[deps]
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
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7 changes: 6 additions & 1 deletion README.md
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Expand Up @@ -20,7 +20,9 @@ Engineering and Informational Sciences*) are implemented.
Begin by creating a generator matrix $\mathbf{Q}$ for the problem. The $i,j$-th entry
specifies the transition rate per unit time from state $j$ to state $i$. We also need to
specify the initial conditions, $\mathbf{p}(0)$, which must be a probabilty distribution
over all states.
over all states. Using the `TransitionRateMatrix` type is optional; ensuring that other
types of matrices have the correct properties can also be done using the
`transitionratematrix` and `transitionratematrix!` functions.

```julia
using Uniformization.jl
Expand All @@ -42,6 +44,9 @@ The parameter $k$ controls the accuracy of the approximation; the default is $2^
The `erlangization` method is the default, as it seems to be a good compromise between
efficiency and robustness on stiff problems.

Automatic differentiation using `ForwardDiff.jl` and `ReverseDiff.jl` should work as
expected.

Further information is available in the docstrings.

## Citing
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2 comments on commit 6cf2fbc

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Registration pull request created: JuliaRegistries/General/78189

After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.

This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:

git tag -a v0.1.1 -m "<description of version>" 6cf2fbc673c5c783b6a8bcdf2f7bb1f24f5cfd12
git push origin v0.1.1

Also, note the warning: This looks like a new registration that registers version 0.1.1.
Ideally, you should register an initial release with 0.0.1, 0.1.0 or 1.0.0 version numbers
This can be safely ignored. However, if you want to fix this you can do so. Call register() again after making the fix. This will update the Pull request.

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