The normal linear model, with sign or other linear inequality constraints on its coefficients, arises very commonly in many scientific applications. Given inequality constraints Bayesian inference is ...

Sequential optimality conditions for constrained optimization are necessarily satisfied by local minimizers, independently of the fulfillment of constraint qualifications. These conditions support the ...

A digital twin designed for the Atikokan biomass power plant uses science-based Bayesian machine learning methods combined with surrogate models developed from a suite of validated, multi-physics ...