Abstract: Approximate computing has emerged as a promising paradigm to enhance energy efficiency in applications where strict computational accuracy is not essential. In this work, we propose PAS, a ...

The object of this paper is a theoretical study of the convergence of approximation methods (Galerkin and finite difference methods) to compute eigenelements of a closed linear operator T in a Banach ...

The unconditional mean squared error of prediction (UMSEP) is widely used as a measure of prediction variance for inferences concerning linear combinations of fixed ...