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I've written a function that might be worth including in this package (or something similar). I sometimes end up in a situation where it's very difficult to distinguish between parts of a function ins…
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I have a question regarding OptiGuide. Due to token size limitations, it appears that OptiGuide struggles to handle large optimization problems. For instance, in the coffee problem, when the number of…
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Currently the "Estimation Error" output is the second derivative of the optimization.
While this accurately characterizes the model optimization scheme, this is fairly useless to the user who is more…
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## 🚀 Feature
In Thunder, we have one memory-saving optimization called [`rematerialization`](https://github.com/Lightning-AI/lightning-thunder/blob/7e1f9bd95c29b9642173088e4d5c86c84db434cc/thunder/…
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I discovered this while working on a codec with similar design principles. (Hi!) Specifically, I discovered this after learning about QOA's dynamic slice quantization, and the optimization it performs…
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At the risk of discussing early over-optimization... I want to discuss the possible speed and optimization issues with having too many optional arguments.
I can't remember which class I took, but I…
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- [x] Universal scaling factor for charge
- [x] Output the comparison of each parameter (plot)
- [x] Add the dump function 5734308
- [x] Add more data
- [x] Add silicon example
- [x] optimize the…
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Dear JAXOPT developers,
I'm interested in constrained optimization problems, which naturally leads to solving KKT systems. For large scale problems, an iterative solver is needed. As KKT matrix is …
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Hi, thank you for the amazing library!
I was wondering if minimizing with user-specified bounds, or algorithms like projected gradient descent are supported?
If not, what would be the best practi…
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**Is your feature request related to a problem? Please describe.**
Our large-scale optimization problems sometimes get numerical instable. So, we want to repair those optimization problem, but we do …