Optimization proxies have the potential to transform various applications through significant improvements in efficiency.
New theoretical and experimental approaches help explain the self-organization of ice under turbulence.
We can trace the evolution of iterative methods up to the present day by examining several pivotal big ideas.
Koopman operator theory has recently emerged as the primary candidate for extracting human-interpretable models from data.