dcolli23 / dcolli23/PyOpt

Save the best optimization template for each new minimum error

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#5 0 comments 0 reactions 1 assignee Claimed by @dcolli23 View on GitHub
enhancement
Dominant language
Python
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Description

# Description

The best optimization template is not saved with each new minimum error, meaning that sequential optimization jobs are a pain due to the user having to reform the optimization template structure in addition to having to back-calculate what the p-values will have to be.

# Proposal

I propose that we save the best optimization template (with updated p-values) at each new minimum error. This would address #4 while also adding further convenience.

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