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Hi all,
I'm one of the developers of the [deal.II finite element library](http://dealii.org/), and have been working towards integrating SymEngine support into our codebase. For this to be possible…
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Imported from SourceForge on 2024-07-02 08:13:24
Created by **[tomasriker](https://sourceforge.net/u/tomasriker/)** on 2016-09-16 16:43:36
Original: https://sourceforge.net/p/maxima/bugs/3219
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Th…
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Related to #9, here is an outline for a proposal for an interface based around a single function (I call it `qtn` below for "quantized tensor network" but open to suggestions) which at a high level ac…
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```
sage: var("y, a")
sage: f = fricas.zerosOf (y^4 + y + a, y); f
+-----------------------------+
| 2 2
\|- 3 %y1 - 2 %y0 %y1 - 3 %y0 …
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Hi @conal, I am a big fan of your AD work. I had some ideas on how you could structure the paper that you might find useful:
1. Quick summary of AD.
2. Summary of what past paper accomplished. Her…
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Currently that doesn't work:
```
In [90]: from_sympy(x, x)
Out[90]: HolonomicFunction((-1) + (x)Dx, x), f(0) = 0
In [91]: var("a")
Out[91]: a
In [92]: from_sympy(a*x, x)
---------------------------…
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A typical optimization process is evaluating usually the same derivatives at different points. Right now, the derivative is calculated from scratch each time (40sec in my case, where it should be less…
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I talked to Moritz Diehl last week about this idea and he asked me to contact you directly:
One of CasADi's strengths is the plethora of algorithms you can invoke with just a few commands. As a con…
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Implement a diff format symbolic derivative in new symbolics as the second form of abstract derivative to be avialable in Sage. See this long thread
http://groups.google.com/group/sage-devel/browse…
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@breandan Your project seems to be a true state of the art autodiff library! Facebook worked on bringing autodifferentiation to Kotlin last year: https://ai.facebook.com/blog/paving-the-way-for-softwa…