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### Problem
I am trying to use Grid Kernels over default Kernals to speed up GPR training. My understanding is that Grid kernels implementation would exploit the tensor algebra and reduce the compu…
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I am running the code below in Macaulay2.
```
load "Dmodules.m2"
R = QQ[x_11,x_12,x_21,x_22]
D = makeWeylAlgebra R
a = x_11*dx_21 + x_12*dx_22
b = x_22*dx_22 + 2
a*b
matrix{{a}} * matrix{{b}…
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Using the vec-trick with higher order Kronecker products, such as
```julia
((τ1 ⊕ τ2) ⊗ (τ3 ⊕ τ4)) * vec(D)
```
should result in the lower-order products ( `(τ1 ⊕ τ2)` and `(τ3 ⊕ τ4)` ) being col…
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I'm trying to use KISS-GP with gradient constraints (using RBFKernelGrad) for a 3-dimensional function, however there's no documentation to cover any cases of KISS-GP + derivatives, so I'm not quite s…
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*Thanks to @bletham for parts of this little writeup*
In the input data passed to the model, we ideally want to support both
1. different observations per outcome, and
2. known covariance across…
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Can the toolbox be used to build an OLG model? Is it possible to set a state variable like age?
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# 🚀 Feature Request
Hi :wave:,
I was very pleased to find that Keop's kernels are already natively integrated into GPyTorch. However, I am wondering why only the RBF and the Matern kernel are avai…
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Taken from #4:
Create a class for `Pauli`s. It should have essentially the same interface as `qiskit.opflow`.
```python
>>> from qiskit.opflow import I, X, Y, Z
>>> print(1.1 * ((1.2 * X)^(Y +…
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Decision Diagrams can also be used to reason about quantum computation. Here, one makes use of a lot of matrix computation, where the matrix itself is quite sparse, i.e. it has a lot of entries being …
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As described in #2 handling time-varying matrix size would be a valuable addition to this package. On looking into it the required algorithms seem straight-forward, so it may get done in the coming mo…