The next talk in the CARMA Special Semester in Computation and Visualisation seminar series will be given by Scott Lindstrom.
Experimental discovery has long played an important role in research mathematics, even before the advent of modern computational tools. Many methods of antiquity are familiar to all of us, including the drawing of pictures to gain geometric insights and exhaustively solving similar problems in order to identify patterns. I will share a variety modern computational tools and techniques which I have used for my research at CARMA. The contexts of the discoveries will be varied — including number theory, non-Euclidean geometry, complex analysis, and optimisation — and so the emphasis will be on the strategies employed rather than specific outcomes.
Scott Lindstrom received his master’s degree from Portland State University. In September 2015, he came to CARMA at University of Newcastle as a PhD student of Jonathan Borwein. Following Professor Borwein’s untimely passing, he has continued as a student of Brailey Sims, Heinz Bauschke, and Bishnu Lamichhane. In October he will begin a postdoctoral fellowship at Hong Kong Polytechnic University. His principal research area is experimental mathematics with particular emphasis in optimization and nonlinear convex analysis. He is a member of the AustMS special interest group Mathematics of Computation and Optimization (MoCaO) and organizes the Borwein Meetings for RHD students and postdocs at CARMA.
Host University: The University of Newcastle
Seminar Convener: Scott Lindstrom
How to participate in this seminar
1. Book your University’s Access Grid Room, or a university or APAC etc. Access Grid Room that you are able to use, and
2. Send an email to the seminar convener at the University of Newcastle (Scott Lindstrom) to advise that you will be attending the seminar.