Simulation-based engineering has been a major protagonist of the technology of the last
century. However, models based on well established physics fail sometimes to describe the …

Subspace-valued functions arise in a wide range of problems, including parametric reduced
order modeling (PROM), parameter reduction, and subspace tracking. In PROM, each …

Projection-based reduced-order models (ROMs) play a crucial role in simplifying the
complex dynamics of fluid systems. Such models are achieved by projecting the Navier …

The proper orthogonal decomposition (POD) is successfully employed in a variety of
projection‐based methods for parametric model order reduction (pMOR) of large dynamical …

Many engineering problems are parameterized. In order to minimize the computational cost
necessary to evaluate a new operating point, the interpolation of singular matrices …

Within the environmental context, numerical modeling is a promising approach to assess the
energy efficiency of building. Resilient buildings need to be designed, capable of adapting …

Model reduction is a key technology for large-scale physical systems in science and
engineering, as it brings behavior expressed in many degrees of freedom to a more …

Generally, reduced order models of fluid flows are obtained by projecting the Navier-Stokes
equations onto a reduced subspace spanned by vector functions that carry the meaningful …