We introduce a new approach aiming at computing approximate optimal designs for multivariate polynomial regressions on compact (semialgebraic) design spaces. We use the moment-sum-of-squares hierarchy ...

Multivariate longitudinal data are common in medical, industrial, and social science research. However, statistical analysis of such data in the current literature is restricted to linear or ...

Multivariate cryptography and finite field algorithms are two interlocking research areas that underpin many modern cryptographic systems and computational methods. Multivariate cryptography relies on ...