Iterative methods are currently the solvers of choice for large sparse linear systems of
equations. However, it is well known that the key factor for accelerating, or even allowing for …

Abstract Electrical Impedance Tomography (EIT) is a recently developed imaging technique.
Small insensible currents are injected into the body using electrodes. Measured voltages …

The design of auxetic structures is traditionally based on engineering experience, see, for
instance, refs.[1, 2]. The goal of this article is to demonstrate how an existing auxetic …

This article describes the PRIMME software package for solving large, sparse Hermitian
standard eigenvalue problems. The difficulty and importance of these problems have …

We propose efficient preconditioning algorithms for an eigenvalue problem arising in
quantum physics, namely, the computation of a few interior eigenvalues and their associated …

Optimal power flow (OPF) problems are ubiquitous for daily power grid operations and
planning. These optimal control problems are nonlinear, non-convex, and computationally …

Large sparse linear systems of equations are ubiquitous in science, engineering and
beyond. This open access monograph focuses on factorization algorithms for solving such …

Essentials of Computational Electromagnetics provides an in-depth introduction of the three
main full-wave numerical methods in computational electromagnetics (CEM); namely, the …

Micro‐macro models for dissolution processes are derived from detailed pore‐scale models
applying upscaling techniques. They consist of flow and transport equations at the scale of …

A new software code for computing selected eigenvalues and associated eigenvectors of a
real symmetric matrix is described. The eigenvalues are either the smallest or those closest …