Many of the ufuncs like exp and log are hightly optimized kernels which use SIMD intrinsics where possible. The code can be found in various files in tthe numpy/core/src/umath directory, for instance here is the beginning of the SIMD exp function https://github.com/numpy/numpy/blob/f521ee5f9a9868f38f7ca46d3c6a01aff8bea382/numpy/core/src/umath/loops_exponent_log.dispatch.c.src#L413 Matti
On Fri, Dec 10, 2021 at 3:53 PM <jeremiah.john...@unh.edu> wrote: > > Hello, > > Can someone tell me (or point me to the relevant source code) what algorithms > NumPy uses to compute transcendentals, such as exp, log, etc? > > Thanks, > Jeremiah > _______________________________________________ > 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: matti.pi...@gmail.com _______________________________________________ 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
