This might be very interesting! I assume it’s for proving theorems about 
distances and norms for type classes such as metric_space and 
real_normed_vector?

I don’t know a lot about Eisbach, but it seems to be a fundamental facility so 
surely there is a case for including it in HOL itself.

Larry

> On 30 Apr 2019, at 16:33, Fabian Immler <[email protected]> wrote:
> 
> Maximilian (in cc) ported HOL-Light's decision procedure for metric spaces 
> [1], and currently has two prototype implementations, one in Isabelle/ML, and 
> the other one as an Eisbach method.

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