Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …

Vascular flow modelling can improve our understanding of vascular pathologies and aid in
developing safe and effective medical devices. Vascular flow models typically involve …

This chapter presents an overview of Model Order Reduction–a new paradigm in the field of
simulationbased engineering sciences, and one that can tackle the challenges and leverage …

This chapter presents an overview of model order reduction–a new paradigm in the field of
simulation‐based engineering sciences, and one that can tackle the challenges and …

Abstract The incompressible Smoothed Particle Hydrodynamics (ISPH) method is derived in
Eulerian form with high-order smoothing kernels to provide increased accuracy for a range …

This is a survey paper illuminating the distinguished role of the Mittag-Leffler function and its
generalizations in fractional analysis and fractional modeling. The content of the paper is …

Galerkin projection of the Navier–Stokes equations on Proper Orthogonal Decomposition
(POD) basis is predominantly used for model reduction in fluid dynamics. The robustness for …

In this paper, a new vector‐filtering criterion for dynamic modes selection is proposed that is
able to extract dynamically relevant flow features from dynamic mode decomposition of time …

In this contribution, we present a space-time formulation of the Newmark integration scheme
for linear damped structures under both harmonic and transient excitations. The incremental …

An extension of the well‐known Neville–Aitken's algorithm for interpolation on the
Grassmann manifold G m (ℝ n) in the framework of parametric model order reduction is …