Hi Aaron,

Thanks for the speedy reply.  I'm not sure I fully understand what this
example does, or how.  Could you perhaps elaborate?  What is Q?  What is
the difference between refine and simplify?

I should note that the entirety of my constraints will be linear, so if the
current functionality can do that, that's enough.

-Andy S.

On Mon, Nov 10, 2014 at 5:06 PM, Aaron Meurer <[email protected]> wrote:

> There is a framework to do this with refine, like refine(sqrt((x - y)**2),
> Q.positive(x - y)), but not much is implemented yet, so the simplifications
> possible are quite limited (in fact, there's not much more than the one
> that I just showed that is implemented).
>
> Aaron Meurer
>
> On Mon, Nov 10, 2014 at 3:58 PM, Andrew Spielberg <[email protected]>
> wrote:
>
>> Hi all,
>>
>> When creating variables, I know you can provide certain constraints on
>> the domain of that variable.  For instance, one could say that a certain
>> variable, x, is positive, real, rational, etc.  These constraints affect
>> the way the simplify function behaves.
>>
>> I am wondering, without creating auxiliary variables, can add other
>> constraints?  For example, if I have a variable x that always must be
>> greater than another variable y, can I specify:
>>
>> x > y
>>
>> in some way, and have the simplifier intelligently know how to handle
>> it?  I know I could change my representation to be a = (x - y) and do
>> everything in terms of my variable a, and set a positive, but this is less
>> than ideal and will not work in a lot of my cases.
>>
>> If there is no way to set these assumptions, is there some other
>> recommended way to do intelligent simplification in some way?
>>
>> -Andy S.
>>
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