Small-angle scattering is an increasingly common method for characterizing particle
ensembles in a wide variety of sample types and for diverse areas of application. SASfit has …

This paper discusses an application of partial tensor Golub–Kahan bidiagonalization to the
solution of large‐scale linear discrete ill‐posed problems based on the t‐product formalism …

Tikhonov regularization is one of the most popular approaches to solving linear discrete ill‐
posed problems. The choice of the regularization matrix may significantly affect the quality of …

Transiting hot Jupiters present a unique opportunity to measure absolute planetary masses
due to the magnitude of their radial velocity signals and known orbital inclination. Measuring …

This paper suggests a new regularized penalty method for poly-linear functions. Until our
knowledge it is the first time that a regularization approach solution for poly-linear …

Resolving aerosol dynamical processes in the sub-10 nm range is crucial for our
understanding of the contribution of new particle formation to the global cloud condensation …

Regularization of certain linear discrete ill-posed problems, as well as of certain regression
problems, can be formulated as large-scale, possibly nonconvex, minimization problems …

A convex non-convex variational model is proposed for multiphase image segmentation. We
consider a specially designed non-convex regularization term which adapts spatially to the …

We devise efficient methods for dynamic inverse problems, where both the quantities of
interest and the forward operator (measurement process) may change in time. Our goal is to …

Extremely large telescopes (ELTs) present an unparalleled opportunity to study the
magnetism, atmospheric dynamics, and chemistry of very-low-mass (VLM) stars, brown …