Computer Science/Discrete Mathematics Seminar II
Computability and complexity in analysis and dynamics
We will give a high-level overview of computable analysis---an area studying the computational properties of continuous objects such as functions and measures on $\mathbb R^d$. We will then discuss some applications to the computability and complexity of objects in dynamical systems, such as Julia sets of complex polynomials and the ergodic measure of a map in $\mathbb R^d$.
Date & Time
April 04, 2017 | 10:30am – 12:30pm
Speakers
Affiliation
Princeton University; von Neumann Fellow, School of Mathematics