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

Motivated by recent analyses of data in biomedical imaging studies, we consider a class of image-on-scalar regression models for imaging responses and scalar predictors. We propose using flexible ...