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Extra arguments to objective/gradient/hessian functions #94

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bdeonovic opened this issue Jan 3, 2015 · 3 comments
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Extra arguments to objective/gradient/hessian functions #94

bdeonovic opened this issue Jan 3, 2015 · 3 comments
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@bdeonovic
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I didn't see any examples in the documentation that showed how you can optimize an objective function (with corresponding gradient and hessian) that depends on some variables you are not trying to optimize on.

What is the appropriate way to handle such a situation?
@mlubin
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mlubin commented Jan 3, 2015

#90 #85 #53
We definitely need an FAQ on this.

@johnmyleswhite
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Agreed.

@alyst alyst mentioned this issue Jul 8, 2015
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@johnmyleswhite
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Subsuming in broader documentation issue.

@mlubin mlubin mentioned this issue Apr 18, 2016
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@johnmyleswhite @bdeonovic @mlubin