[Numpy-discussion] Discussion: History & Possible Deprecation/Removal of numpy.linalg.{eig(), eigvals()}?
Hi, I am catching up with an assigned task that I slipped. I am wondering a few things about the numpy.linalg.eig() API (eigvals() is also included in this discussion, but for simplicity let's focus on eig()). AFAIU the purpose of eig() is for handling general eigen-systems which have left and right eigenvectors (that could differ beyond transpose/conjugate). For this, I have two questions: 1. What's the history of NumPy adding this eig() routine? My guess would be NumPy added it because Matlab had it, but I couldn't tell from a quick commit search. 2. Would it be possible to deprecate/remove this API? From past discussions with users and developers, I found: - numpy.linalg.eig() only returns the right eigenvectors, so it's not very useful: * When the left eigenvectors are not needed --- which is the majority of the use cases --- eigh() is the right routine, but most users (especially those transitioning from Matlab) don't know it's there * When the left eigenvectors are needed, users have to use scipy.linalg.eig() anyway - A general support for eig() could be challenging (numerical issues), and doing SVDs instead is usually the better way out (in terms of both numerical stability and mathematical sense). Thanks, Leo ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
[Numpy-discussion] Event: NVIDIA CUDA Virtual Connect With Expert (CUDA + Python)
NVIDIA CUDA Virtual Connect With Experts Event Information Hello all! For those who use GPUs in work or hoppy projects, we'd love to chat with you! We are starting a monthly virtual event where CUDA enthusiasts can connect directly with a panel of real-life CUDA developers at NVIDIA. This is a chance to meet some of the people designing and implementing your favorite CUDA drivers, kernels, libraries and tools; and ask questions related to your project or work. Event Information: When? **Friday, September 27, 2024 at 10-11:30am PT** What? This month, we will be discussing the **CUDA Python ecosystem**. You will have the opportunity to ask questions via chat about topics like CuPy, Numba, and other Python libraries to our **LIVE** panel of CUDA Python experts. Who can Attend? CUDA and Python developers of all levels and backgrounds. Where? Join us on NVIDIA’s Microsoft Teams Instance [here](https://teams.microsoft.com/l/meetup-join/19%3ameeting_YzgwY2EzMWMtYTA0Zi00NDhjLTk0MmMtN2Y4MDRlMjQ2MTI2%40thread.v2/0?context=%7b%22Tid%22%3a%2243083d15-7273-40c1-b7db-39efd9ccc17a%22%2c%22Oid%22%3a%22bc6a8639-bf95-4464-af3e-20c110ea129f%22%7d) Looking forward to seeing you all. Thanks! Best, Leo Fang Python CUDA tech lead ___ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
