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Posted to fop-users@xmlgraphics.apache.org by Michael Wechner <mi...@wyona.com> on 2014/01/24 09:54:41 UTC
Rendering Latex Snippets using XSL-FO and FOP
Hi
I recently learned about
http://www.mathjax.org/
which is a great library to render Latex snippets inside HTML. See for
example the abstract contained by
http://projecteuclid.org/euclid.aos/1388545673
I would like to do the "same" thing with PDF, which means I have an XML
containing Latex snippets, e.g.
<p>
We study sparse principal components analysis in high dimensions, where
$p$ (the number of variables) can be much larger than $n$ (the number of
observations), and analyze the problem of estimating the subspace
spanned by the principal eigenvectors of the population covariance
matrix. We introduce two complementary notions of $\ell_{q}$ subspace
sparsity: row sparsity and column sparsity. We prove nonasymptotic lower
and upper bounds on the minimax subspace estimation error for $0\leq
q\leq1$. The bounds are optimal for row sparse subspaces and nearly
optimal for column sparse subspaces, they apply to general classes of
covariance matrices, and they show that $\ell_{q}$ constrained estimates
can achieve optimal minimax rates without restrictive spiked covariance
conditions. Interestingly, the form of the rates matches known results
for sparse regression when the effective noise variance is defined
appropriately. Our proof employs a novel variational $\sin\Theta$
theorem that may be useful in other regularized spectral estimation
problems.
</p>
and then I would like to use XSL-FO and FOP to generate PDF.
Is that possible somehow? Or any other ideas how I could generate such a
PDF?
Thanks
Michael
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Re: Rendering Latex Snippets using XSL-FO and FOP
Posted by Michael Wechner <mi...@wyona.com>.
Thanks very much for your hint/link
Michael
Am 24.01.14 14:38, schrieb Jan Tosovsky:
> On 2014-01-24 Michael Wechner wrote:
>>>> On Fri, Jan 24, 2014 at 8:54 AM, Michael Wechner
>>>>> I recently learned about http://www.mathjax.org/
>>>>> which is a great library to render Latex snippets inside HTML.
>>>>>
>>>>> I would like to do the "same" thing with PDF, which means I have an
>>>>> XML containing Latex snippets ...
>> I guess the other possibility is to generate Latex itself (instead
>> XSL-FO)
> +1, but consider ConTeXt as well: http://wiki.contextgarden.net/Installation
>
> Jan
>
>
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RE: Rendering Latex Snippets using XSL-FO and FOP
Posted by Jan Tosovsky <j....@email.cz>.
On 2014-01-24 Michael Wechner wrote:
> >> On Fri, Jan 24, 2014 at 8:54 AM, Michael Wechner
> >>> I recently learned about http://www.mathjax.org/
> >>> which is a great library to render Latex snippets inside HTML.
> >>>
> >>> I would like to do the "same" thing with PDF, which means I have an
> >>> XML containing Latex snippets ...
> I guess the other possibility is to generate Latex itself (instead
> XSL-FO)
+1, but consider ConTeXt as well: http://wiki.contextgarden.net/Installation
Jan
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Re: Rendering Latex Snippets using XSL-FO and FOP
Posted by Michael Wechner <mi...@wyona.com>.
I guess the other possibility is to generate Latex itself (instead
XSL-FO) and then use something like for example
http://www.nixo-soft.de/tutorials/jlr/JLRTutorial.html
http://www.nixo-soft.de/de/category/Downloads/page/libs/JavaLatexReport.php
Another project I have found is
http://forge.scilab.org/index.php/p/jlatexmath/
which seems to generate images, which can be used together with FOP.
I guess the more "brutal" way is to install and call pdflatex (once the
latex has been generated) from within Java:
http://tex.stackexchange.com/a/41633
Thanks
Michael
Am 24.01.14 10:21, schrieb Michael Wechner:
> Thanks very much for the pointer. Seems to work only with
>
> FOP 0.95beta or 0.95
>
> but I think we are still using 0.93 and I guess we could upgrade ;-)
>
> IIUC probably more effort is to transform Latex to MathML in order to
> use this library, but maybe I misunderstand something. Will have a
> closer look at it.
>
> Thanks
>
> Michael
>
> Am 24.01.14 10:14, schrieb Luis Bernardo:
>> This is not very recent, but take a look at
>> http://jeuclid.sourceforge.net/trunk/jeuclid-fop/index.html.
>>
>>
>>
>> On Fri, Jan 24, 2014 at 8:54 AM, Michael Wechner
>> <mi...@wyona.com>wrote:
>>
>>> Hi
>>>
>>> I recently learned about
>>>
>>> http://www.mathjax.org/
>>>
>>> which is a great library to render Latex snippets inside HTML. See for
>>> example the abstract contained by
>>>
>>> http://projecteuclid.org/euclid.aos/1388545673
>>>
>>> I would like to do the "same" thing with PDF, which means I have an XML
>>> containing Latex snippets, e.g.
>>>
>>> <p>
>>> We study sparse principal components analysis in high dimensions, where
>>> $p$ (the number of variables) can be much larger than $n$ (the number of
>>> observations), and analyze the problem of estimating the subspace
>>> spanned by the principal eigenvectors of the population covariance
>>> matrix. We introduce two complementary notions of $\ell_{q}$ subspace
>>> sparsity: row sparsity and column sparsity. We prove nonasymptotic lower
>>> and upper bounds on the minimax subspace estimation error for $0\leq
>>> q\leq1$. The bounds are optimal for row sparse subspaces and nearly
>>> optimal for column sparse subspaces, they apply to general classes of
>>> covariance matrices, and they show that $\ell_{q}$ constrained estimates
>>> can achieve optimal minimax rates without restrictive spiked covariance
>>> conditions. Interestingly, the form of the rates matches known results
>>> for sparse regression when the effective noise variance is defined
>>> appropriately. Our proof employs a novel variational $\sin\Theta$
>>> theorem that may be useful in other regularized spectral estimation
>>> problems.
>>> </p>
>>>
>>> and then I would like to use XSL-FO and FOP to generate PDF.
>>>
>>> Is that possible somehow? Or any other ideas how I could generate such a
>>> PDF?
>>>
>>> Thanks
>>>
>>> Michael
>>>
>>> ---------------------------------------------------------------------
>>> To unsubscribe, e-mail: fop-users-unsubscribe@xmlgraphics.apache.org
>>> For additional commands, e-mail: fop-users-help@xmlgraphics.apache.org
>>>
>>>
>
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Re: Rendering Latex Snippets using XSL-FO and FOP
Posted by Michael Wechner <mi...@wyona.com>.
Thanks very much for the pointer. Seems to work only with
FOP 0.95beta or 0.95
but I think we are still using 0.93 and I guess we could upgrade ;-)
IIUC probably more effort is to transform Latex to MathML in order to
use this library, but maybe I misunderstand something. Will have a
closer look at it.
Thanks
Michael
Am 24.01.14 10:14, schrieb Luis Bernardo:
> This is not very recent, but take a look at
> http://jeuclid.sourceforge.net/trunk/jeuclid-fop/index.html.
>
>
>
> On Fri, Jan 24, 2014 at 8:54 AM, Michael Wechner
> <mi...@wyona.com>wrote:
>
>> Hi
>>
>> I recently learned about
>>
>> http://www.mathjax.org/
>>
>> which is a great library to render Latex snippets inside HTML. See for
>> example the abstract contained by
>>
>> http://projecteuclid.org/euclid.aos/1388545673
>>
>> I would like to do the "same" thing with PDF, which means I have an XML
>> containing Latex snippets, e.g.
>>
>> <p>
>> We study sparse principal components analysis in high dimensions, where
>> $p$ (the number of variables) can be much larger than $n$ (the number of
>> observations), and analyze the problem of estimating the subspace
>> spanned by the principal eigenvectors of the population covariance
>> matrix. We introduce two complementary notions of $\ell_{q}$ subspace
>> sparsity: row sparsity and column sparsity. We prove nonasymptotic lower
>> and upper bounds on the minimax subspace estimation error for $0\leq
>> q\leq1$. The bounds are optimal for row sparse subspaces and nearly
>> optimal for column sparse subspaces, they apply to general classes of
>> covariance matrices, and they show that $\ell_{q}$ constrained estimates
>> can achieve optimal minimax rates without restrictive spiked covariance
>> conditions. Interestingly, the form of the rates matches known results
>> for sparse regression when the effective noise variance is defined
>> appropriately. Our proof employs a novel variational $\sin\Theta$
>> theorem that may be useful in other regularized spectral estimation
>> problems.
>> </p>
>>
>> and then I would like to use XSL-FO and FOP to generate PDF.
>>
>> Is that possible somehow? Or any other ideas how I could generate such a
>> PDF?
>>
>> Thanks
>>
>> Michael
>>
>> ---------------------------------------------------------------------
>> To unsubscribe, e-mail: fop-users-unsubscribe@xmlgraphics.apache.org
>> For additional commands, e-mail: fop-users-help@xmlgraphics.apache.org
>>
>>
Re: Rendering Latex Snippets using XSL-FO and FOP
Posted by Luis Bernardo <lm...@gmail.com>.
This is not very recent, but take a look at
http://jeuclid.sourceforge.net/trunk/jeuclid-fop/index.html.
On Fri, Jan 24, 2014 at 8:54 AM, Michael Wechner
<mi...@wyona.com>wrote:
> Hi
>
> I recently learned about
>
> http://www.mathjax.org/
>
> which is a great library to render Latex snippets inside HTML. See for
> example the abstract contained by
>
> http://projecteuclid.org/euclid.aos/1388545673
>
> I would like to do the "same" thing with PDF, which means I have an XML
> containing Latex snippets, e.g.
>
> <p>
> We study sparse principal components analysis in high dimensions, where
> $p$ (the number of variables) can be much larger than $n$ (the number of
> observations), and analyze the problem of estimating the subspace
> spanned by the principal eigenvectors of the population covariance
> matrix. We introduce two complementary notions of $\ell_{q}$ subspace
> sparsity: row sparsity and column sparsity. We prove nonasymptotic lower
> and upper bounds on the minimax subspace estimation error for $0\leq
> q\leq1$. The bounds are optimal for row sparse subspaces and nearly
> optimal for column sparse subspaces, they apply to general classes of
> covariance matrices, and they show that $\ell_{q}$ constrained estimates
> can achieve optimal minimax rates without restrictive spiked covariance
> conditions. Interestingly, the form of the rates matches known results
> for sparse regression when the effective noise variance is defined
> appropriately. Our proof employs a novel variational $\sin\Theta$
> theorem that may be useful in other regularized spectral estimation
> problems.
> </p>
>
> and then I would like to use XSL-FO and FOP to generate PDF.
>
> Is that possible somehow? Or any other ideas how I could generate such a
> PDF?
>
> Thanks
>
> Michael
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: fop-users-unsubscribe@xmlgraphics.apache.org
> For additional commands, e-mail: fop-users-help@xmlgraphics.apache.org
>
>