Geometric Algorithms & Models
Beyond the Linear & Euclidean realm

Classical computational geometry usually deals with linear objects in a Euclidean setting and when other situations happen, curved objects are typically linearized and non-Euclidean spaces are locally approximated by Euclidean spaces. The goals of the Gamble team are to address such limitations of classical computational geometry.

Our work is organized in three main axes:
  • Non-linear computational geometry.
  • Non-Euclidean computational geometry.
  • Probability in computational geometry.