Keep in mind that there are solutions other than MathJax now that are a lot
faster. There are at least two avenues being explored in Asciidoctor and
could also be integrated into AsciiDoc Python.

* https://github.com/Khan/KaTeX
* https://github.com/gjtorikian/mathematical

There's also a fast AsciiMath parser for Ruby that we use in Asciidoctor
core when converting to DocBook.

* https://rubygems.org/gems/asciimath

I'm merely pointing out is that MathJax isn't the only game in town.

-Dan

On Fri, Sep 23, 2016 at 9:43 PM, Jon Leech <[email protected]> wrote:

>
>
> On Friday, September 23, 2016 at 7:40:22 PM UTC-7, Dan Allen wrote:
>>
>>
>> On Fri, Sep 23, 2016 at 8:28 PM, Lex Trotman <[email protected]> wrote:
>>
>>> For tensor notation or other advanced math you should use one of the
>>> math specific mechanisms http://asciidoc.org/userguide.html#X78.
>>>
>>
>> I agree.
>>
>> (You always have the option for a custom inline macro, but you'd really
>> have to be unhappy with AsciiMath or LaTeX syntax to go that route.
>>
>
> I like LaTeX syntax. I don't like the dreadfully sluggish performance of
> MathJax on large documents with lots of equations, so am converting as much
> as possible to asciidoc markup.
>
> AFAICT using MathJax and passing the markup through to dblatex is the only
> plausible way to do complex equations in both HTML and PDF outputs without
> including twice as much conditionalized markup for the two paths or
> implementing a highly invasive set of changes to the toolchain, so we're
> stuck with MathJax for some things.
>
> Some halcyon day, MathML might be supported by browsers.
>
> Jon
>
>
>
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-- 
Dan Allen | @mojavelinux | https://twitter.com/mojavelinux

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