In This Issue

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.

In 2023, SIAM partnered with the Livermore Lab Foundation to support an undergraduate student internship.

Ernest Davis reviews two books about issues of privacy and inequality with facial recognition technologies.

The Hong Kong Polytechnic University SIAM Student Chapter organized an exciting event with experts in the field of optimization.