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[Merged by Bors] - feat(analysis/calculus/times_cont_diff): iterated smoothness in terms of deriv #4017

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@sgouezel sgouezel commented Sep 1, 2020

Currently, iterated smoothness is only formulated in terms of the Fréchet derivative. For one-dimensional functions, it is more handy to use the one-dimensional derivative deriv. This PR provides a basic interface in this direction.


Requested on Zulip in https://leanprover.zulipchat.com/#narrow/stream/113489-new-members/topic/Generalized.20Rolle.20theorem/near/205904055

@robertylewis robertylewis added the awaiting-review The author would like community review of the PR label Sep 1, 2020
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bors merge

@github-actions github-actions bot added ready-to-merge All that is left is for bors to build and merge this PR. (Remember you need to say `bors r+`.) and removed awaiting-review The author would like community review of the PR labels Sep 1, 2020
bors bot pushed a commit that referenced this pull request Sep 1, 2020
… of deriv (#4017)


Currently, iterated smoothness is only formulated in terms of the Fréchet derivative. For one-dimensional functions, it is more handy to use the one-dimensional derivative `deriv`. This PR provides a basic interface in this direction.
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bors bot commented Sep 1, 2020

Pull request successfully merged into master.

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@bors bors bot changed the title feat(analysis/calculus/times_cont_diff): iterated smoothness in terms of deriv [Merged by Bors] - feat(analysis/calculus/times_cont_diff): iterated smoothness in terms of deriv Sep 1, 2020
@bors bors bot closed this Sep 1, 2020
@bors bors bot deleted the smooth_deriv branch September 1, 2020 13:43
PatrickMassot pushed a commit that referenced this pull request Sep 8, 2020
… of deriv (#4017)


Currently, iterated smoothness is only formulated in terms of the Fréchet derivative. For one-dimensional functions, it is more handy to use the one-dimensional derivative `deriv`. This PR provides a basic interface in this direction.
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