On this PR https://github.com/sympy/sympy/pull/1598 the question of sqrt
came up. Do we want an _eval_sqrt method? Should sqrt work on Matrices? How
far do we want to take this idea?

On Mon, Oct 22, 2012 at 4:11 PM, Matthew Rocklin <[email protected]> wrote:

> This is implemented in the last few commits of
> https://github.com/sympy/sympy/pull/1598
>
> def simplify(expr, ...):
>     try:
>         return expr._eval_simplify(ratio=ratio, measure=measure)
>     except AttributeError:
>         pass
>
>
> On Tue, Oct 16, 2012 at 7:07 AM, Sergiu Ivanov 
> <[email protected]>wrote:
>
>> Hello,
>>
>> On Tue, Oct 16, 2012 at 08:15:12AM -0500, Matthew Rocklin wrote:
>> >
>> > I agree with Julien that vectorization is a different question. The
>> > question at hand is (I think) the following:
>> >
>> > We have a function simplify that tries to reduce the complexity of a
>> scalar
>> > expression (for example by turning  y* x / y into x). We have grown
>> > accustomed to asking SymPy to reduce the complexity of an object by
>> calling
>> > `simplify(object)`. Should we extend the meaning of simplify to
>> non-Exprs?
>> > Many classes know some way to reduce their complexity. For example
>> matrices
>> > have a Matrix.simplify() method. Some sets like Union and Intersection
>> have
>> > a Set.reduce() method. Should we expose these methods through simplify?
>> > I.e. do we want things like the following to work `simplify(Set)` ?
>>
>> I think `simplify(Set)` should work.
>>
>> I do believe however that the simplification functionality itself
>> should be provided by the object on which `simplify` is invoked,
>> rather than stuffed into `simplify`.  (I think the majority agree that
>> this is way to go, so I'm just redundantly restating the fact.)
>>
>> I think letting `simplify` work on all kinds of SymPy objects is the
>> behaviour a user would expect.
>>
>> Sergiu
>>
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>

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