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ENH: Implement MRS method on RocketPy! #162

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Gui-FernandesBR opened this issue Mar 21, 2022 · 3 comments · May be fixed by #738
Open

ENH: Implement MRS method on RocketPy! #162

Gui-FernandesBR opened this issue Mar 21, 2022 · 3 comments · May be fixed by #738
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Enhancement New feature or request, including adjustments in current codes Monte Carlo Monte Carlo and related contents

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@Gui-FernandesBR
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MRS is an awesome method which is available on https://github.com/Projeto-Jupiter/RocketPaper/tree/main/Multivariate%20Rejection%20Sampling , it would be easy to be implemented on RocketPy's repository and for a first moment I think utilities.py would be the best home for it (of course it can be discussed).

It's important that we bring MRS to this repo so it doesn't become forgotten

Also, a quick introduction to MRS powerfull capacity would be welcome as well

@giovaniceotto
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Should a more integrated version of the dispersion analysis be implemented before MRS?

@Gui-FernandesBR
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I believe @MateusStano has something to say about it

@giovaniceotto
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Can't wait to hear more from @MateusStano!

@Gui-FernandesBR Gui-FernandesBR added Enhancement New feature or request, including adjustments in current codes and removed feature labels Sep 14, 2022
@Gui-FernandesBR Gui-FernandesBR self-assigned this Oct 2, 2022
@Gui-FernandesBR Gui-FernandesBR removed this from the RocketPy at EuroC 2022 milestone Oct 24, 2022
@Gui-FernandesBR Gui-FernandesBR removed their assignment Nov 5, 2022
@Gui-FernandesBR Gui-FernandesBR added the Monte Carlo Monte Carlo and related contents label Nov 15, 2022
@Gui-FernandesBR Gui-FernandesBR added this to the Release v1.1.0 milestone Apr 17, 2023
@MateusStano MateusStano moved this from Long-Term to Mid-Term in LibDev Roadmap Nov 5, 2023
@Gui-FernandesBR Gui-FernandesBR moved this from Mid-Term to Backlog in LibDev Roadmap Jan 16, 2024
@Gui-FernandesBR Gui-FernandesBR changed the title Implement MRS method on RocketPy! ENH: Implement MRS method on RocketPy! Nov 15, 2024
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Labels
Enhancement New feature or request, including adjustments in current codes Monte Carlo Monte Carlo and related contents
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Status: Backlog
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3 participants