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pages/research/simtools.qmd

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title: "sim-tools"
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author:
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- name: Tom Monks
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affiliation: University of Exeter
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orcid: 0000-0003-2631-4481
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- name: Amy Heather
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affiliation: University of Exeter
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orcid: 0000-0002-6596-3479
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- name: Alison Harper
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affiliation: University of Exeter
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orcid: 0000-0001-5274-5037
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Page yet to be written!
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We have developed a Python package to support discrete-event simulation (DES) and monte-carlo simulation education and applied simulation research. Features:
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1. Implementation of classic Optimisation via Simulation procedures such as KN, KN++, OBCA and OBCA-m
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2. Theoretical and empirical distributions module that includes classes that encapsulate a random number stream, seed, and distribution parameters.
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3. An extendable Distribution registry that provides a quick reproduible way to parameterise simulation models.
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4. Implementation of Thinning to sample from Non-stationary Poisson Processes (time-dependent) in a DES.
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5. Automatic selection of the number of replications to run via the Replications Algorithm.
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6. EXPERIMENTAL: model trace functionality to support debugging of simulation models.
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You can find the package on [GitHub](https://github.com/TomMonks/sim-tools), [PyPI](https://pypi.org/pypi/sim-tools/), and [Conda](https://anaconda.org/conda-forge/sim-tools)
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## Package documentation
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The `sim-tools` documentation is available at <https://tommonks.github.io/sim-tools/>.
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```{=html}
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<div class="iframe-wrapper">
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<div class="iframe-header">
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<span>Website preview:</span>
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<a href="https://tommonks.github.io/sim-tools/"
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target="_blank" rel="noopener">
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View full website in new tab
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</a>
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</div>
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<iframe
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width="100%"
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height="500"
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src="https://tommonks.github.io/sim-tools/"
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title="sim-tools documentation">
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</iframe>
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</div>
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<br>
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```
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