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The goal of this issue is to serve as an overview of possible future examples or calculations that we could include in this repository or in the appendix of the extended paper.
I created this list …
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Please see this:
https://stackoverflow.com/q/62561548/2966723
When I look at `eigenvector_centrality`'s code, it looks like it should break on directed acyclic networks. In at least this case i…
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hello, I am looking for method to get reduced density matrix after EOM. And I find in your code ECW_CC)/gamma_exp.py there is a class ESexp say can do such things. But I didn't find the corresponding …
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1. I encountered an error while running my code. Is it because the number of iterations is too low (default is 2000)? However, blindly increasing the number of iterations will raise the computational …
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Minimal reproducible example:
A = Matrix([[-3, 1, 2], [1, -1, 0], [1, 0, -2]])
A.jordan_form()
This unfortunately hangs from some reason... (Despite the fact that the matrix is only 3x3…
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We should look into [sigma.js](http://sigmajs.org/)
In particular, site says:
> You can just instanciate (sic) sigma by giving it the data and the DOM container, and it works. And for JSON or GE…
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A higher value of $\rho_{2,d}(F)$ indicates a greater amount of cryptographic security of a round function $F$. The value $\rho_{2,d}(F)$ is a measure of security for all block cipher round functions,…
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## 🚀 Feature
I propose myself to implement the batched and gradient calculation (backward) for `torch.eig` if the eigenvalues are all real.
## Motivation
The cases where the matrix is real no…
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Adding the generalize pseudo-inverse I think is on the docket somewhere (mentioned in #260)
I've actually implemented it in a fork using the [SVD method](https://en.wikipedia.org/wiki/Moore%E2%80%9…
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