Asynchronous iterative algorithms have emerged as a robust alternative to traditional synchronous methods for solving large-scale linear systems. These approaches allow individual computational units ...

An iterative algorithm for solving linear least squares problems has been developed and tested on an IBM 1620 computer. This article traces the development of the algorithm from that described by ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...

Benefiting from superior capability in manipulating wavefront of electromagnetic waves, metasurfaces have provided a flexible platform for designing ultracompact and high-performance devices with ...

In this work, we propose a new policy iteration algorithm for pricing Bermudan options when the payoff process cannot be written as a function of a lifted Markov process. Our approach is based on a ...

Updated workflow connects high-level modeling and NVIDIA CUDA-Q execution to shorten iteration cycles in hybrid HPC and quantum environments -- Productivity -- An accelerated end-to-end path from high ...