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When simplifying a scalar expression, SymPy smartly applies the distributive property:
```
>>> from sympy.abc import *
>>> simplify(a*b+a*c)
a*(b + c)
```
But it is not the case for matrix exp…
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### Description
This RFC proposes adding native C implementation for `@stdlib/math/base/special/gammaln`
```javascript
double stdlib_base_gammaln ( const double x );
```
### Related Issues
…
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In the context of numerical evaluation of `L_{12}(1/2)`, the readme states
> Note as well that because we are reducing dramatically the number of floating point operations, we are losing less precisi…
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Hi,
I'm working on extending the (univariate) PMP to the multivariate setting, hopefully with SDPB as solver. A lot stays similar, the most important change is that you need more blocks per constrai…
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Similarly to #19822 we implement polynomial evaluation for real ball. Contrarily to the case of mpfr/mfpi it needs some non-trivial modification to `sage/rings/real_arb.pyx` because of loops in impo…
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Sage lacks a lot of feature that are in Latte:
- fast integer point counting in polyhedron
- computation of Ehrart polynomial
just to mention some of them.
Note that Latte has no documentation for …
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The `np.polynomial.Polynomial` does not seem to handle array-valued polynomials, although this is advertised at some places in its documentation.
E.g. `help(np.polynomial.Polynomial.fit)` [says](ht…
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I have a rather open ended question regarding usage
I want to go up to a large number of derivative orders considering that I'm mainly interested in capturing the operator spectra. Here's an example…