Explores inverse design optimization in geometric computing, covering topics such as deployable structures, material-aware design, and programmed materials.
Explores the impact of locality on system design, discussing strategies to optimize efficiency and performance through data layout, lock design, and data movement minimization.
Covers optimization techniques in machine learning, focusing on convexity, algorithms, and their applications in ensuring efficient convergence to global minima.
