The linearized Bregman method is a method to calculate sparse solutions to systems of
linear equations. We formulate this problem as a split feasibility problem, propose an …

Astronomical data take on a multitude of forms—catalogs, data cubes, images, and
simulations. The availability of software for rendering high-quality three-dimensional …

We present a state‐of‐the‐art report on visualization in astrophysics. We survey
representative papers from both astrophysics and visualization and provide a taxonomy of …

Mathematical optimization is the process of determining the set of globally or locally optimal
parameters in a finite or infinite search space. It has been extensively employed in the …

The ability to visualize x-ray and neutron emission from fusion plasmas in 3D is critical to
understand the origin of the complex shapes of the plasmas in experiments. Unfortunately …

Astronomical nebulae are among the most complex and visually appealing phenomena
known outside the bounds of the Solar System. However, our fixed vantage point on Earth …

Compressive rendering refers to the process of reconstructing a full image from a small
subset of the rendered pixels, thereby expediting the rendering task. In this paper, we …

Angesichts der fortschreitenden Digitalisierung in nahezu allen Bereichen des täglichen
Lebens bedarf es mehr denn je effizienter Techniken zur Akquise, Speicherung und …

One way astronomers and astrophysicists study galaxy formation and evolution is by
analyzing and comparing real galaxy observations, captured by telescopes, and simulated …

This paper presents a new method for tomographic reconstruction of volumes from sparse
observational data. Application scenarios can be found in astrophysics, plasma physics, or …