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(follow-up from #30092)
We define a category `InnerProductSpaces` with
- parent method `dual` (which returns `self`),
- element method `inner_product`.
**A complication for complex vect…
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Reminder for comments in #16812
I wonder if `is_scalar` can work here
but at least the one in the matrix expressions module should not work with things other than matrix.
For the `transpose` in…
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The operations `bli_(inv)?scal[vdm]` are alone in having a `conjalpha` parameter (in the typed API and kernel definitions), while also taking an input vector (matrix diagonal, matrix) `x` which does *…
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The following code:
```python
import sympy
from sympy.physics.quantum import Operator, Dagger
Dagger(sympy.Matrix([[Operator("a")]])) == sympy.Matrix([[Operator("a").conjugate()]])
```
returns t…
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```python3
>>> from sympy import *
>>> x, y = symbols('x y', commutative=False)
>>> conjugate(x * y)
conjugate(x)*conjugate(y)
```
As in the example for quaternion, `conjugate(x * y)` actually…
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We should allow symmetry/conjugate-symmetry preserving operations on Symmertic/Hermitian matrices.
For example the following failures should not be failures.
```julia
julia> AS = Symmetric([1 2; 2 …
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## 🚀 Feature
Conjugate gradient descent, and Linear operator as implemented in scipy needs to have a place in pytorch for faster gpu calculations.
## Motivation
Conjugate gradient Descent a…
-
```
Hi,
I am using the Conjugate Gradient Solver cg.cu to solve A*x=b.
I changed it a little bit so that it could initialize the vector b from reading
a matrix market file as well. It works fine wit…
-
```
Hi,
I am using the Conjugate Gradient Solver cg.cu to solve A*x=b.
I changed it a little bit so that it could initialize the vector b from reading
a matrix market file as well. It works fine wit…
-
```
Hi,
I am using the Conjugate Gradient Solver cg.cu to solve A*x=b.
I changed it a little bit so that it could initialize the vector b from reading
a matrix market file as well. It works fine wit…