Machine Assistance for Algebra
University of Wisconsin-Madison
Machine Assistance for Algebra (MAFA) at UW Madison is a space to demonstrate and discuss machine assistance in the broadest sense for algebra. This means hosting tutorials on software capabilities with a view towards solving polynomial systems, calculating Grobner basis, and computing invariants. This is in addition to using modern machine learning advances for algebraic geometry, commutative algebra and topology. The audience is encouraged to be actively engaged by bringing a computer to follow along and to immediately do exercises.
These events are held on an as needed basis and targeted towards graduate students.
Who: There is no official email list or need to RSVP. Just show up at the scheduled time or a few minutes early for social time. Advertisements are usually made on the Applied Algebra mailing list.
Questions? Contact the organizer:
Jose Israel Rodriguez (Jose@math.wisc.edu)
Events:
May 8, 2023 at 11am-11:40am (Monday) in Ingraham 115: Numerical Algebraic Geometry Software Tutorial by Tim Duff
Mar 24, 2023 at 11am (Friday) in Sterling 2425:
An Invitation to OSCAR by Dan Corey.
The Open Source Computer Algebra Research (OSCAR) project is a new system for computations in algebraic geometry, combinatorics, and number theory. Using the julia programming language, it combines and builds the following well developed systems: GAP for group theory, Singular for commutative and non-commutative algebra and algebraic geometry, Polymake for polyhedral geometry, and Antic for number theory. OSCAR is still in the early stages of development, but already useful for many computations. In this talk, I will showcase basic usage of OSCAR, and tips on how to get in touch with the OSCAR community.
Note: students are encouraged to have julia and OSCAR installed on their computer before the seminar. Instructions can be found here https://www.oscar-system.org/install/ and help will be made available before the talk.
Nov 11, 2022 at 2:30pm: Macaulay2 Software Tutorial by Zvi Rosen.