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The current documentation is limited to the `Readme.md` file. A more in depth guide on how to use the toolbox combined with the mathematical basics would be beneficial.
**Proposed structure:**
1…
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Hi, I am an engineer from Intel and I work mostly on the performance optimization of PyTorch on intel Xeon CPUs (also I am the pytorch module maintainer for cpu performance). Just come across this…
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@arndb found a bug in LLVM: https://llvm.org/pr40776
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Luksan - Matonoha - Vlček test set
Sparse Test Problems for Unconstrained Optimization
Ladislav Luksan, Ctirad Matonoha, Jan Vlček
https://www.researchgate.net/publication/325314400_Sparse_Test_P…
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https://github.com/a16z/Spartan2/blob/uniform_r1cs_shape/src/spartan/snark.rs#L238-L285
The compute_eval_table_sparse lambda and the following combination of the evaluations comprise ~12.5% of the …
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As suggested by @jni in https://github.com/scikit-image/scikit-image/pull/4165#discussion_r1635901391, it might be possible to update `skimage.morphology.remove_objects_by_distance` by constructing a …
lagru updated
3 months ago
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Thanks for your wonderful project !
I'm glad to see that you just open-sourced the code for Sparse NVS task, but I'm curious if you can provide the code of quantitative evaluation, i.e., evaluating…
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[SparseIFDS](https://github.com/notify-bibi/FlowDroid-Sparse)
Can improve speed and reduce memory usage. ( Be able to reduce propgeate edges by 20 times
Now this optimization will cause some tes…
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Currently many derived class from `Constraint` class default to use dense matrix, such as in `LinearConstraint`, `QuadraticConstraint`. This dense matrix representation is rarely the case in the real …
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Hello,
Let me start by saying that I am a fan of your work here. I have recently open-sourced by GNN-based meta-learning method for optimization. I have applied it to the sparse index-tracking prob…