10 citations · 12 across the 6 of their papers we have counts for
6 papers
Fundamental Limits of Learning High-dimensional Simplices in Noisy Regimes
Seyed Amir Hossein Saberi, Amir Najafi, Abolfazl Motahari +1
In this paper, we establish sample complexity bounds for learning high-dimensional simplices in from noisy data. Specifically, we consider i.i.d. samples uniform…
A restricted additive smoother for finite cell flow problems
M. Saberi, A. Vogel
In this work, we propose an adaptive geometric multigrid method for the solution of large-scale finite cell flow problems. The finite cell method seeks to circumvent the need for a…
Data-driven Stabilization of Nitsche's Method
M. Saberi, L. Zhao, A. Vogel
The weak imposition of essential boundary conditions is an integral aspect of unfitted finite element methods, where the physical boundary does not in general coincide with the com…
The Influence of Nitsche Stabilization on Geometric Multigrid for the Finite Cell Method
S. Saberi, G. Meschke, A. Vogel
Immersed finite element methods have been developed as a means to circumvent the costly mesh generation required in conventional finite element analysis. However, the numerical ill…
Adaptive geometric multigrid for the mixed finite cell formulation of Stokes and Navier-Stokes equations
S. Saberi, G. Meschke, A. Vogel
Unfitted finite element methods have emerged as a popular alternative to classical finite element methods for the solution of partial differential equations and allow modeling arbi…
A restricted additive Vanka smoother for geometric multigrid
S. Saberi, G. Meschke, A. Vogel
The solution of saddle-point problems, such as the Stokes equations, is a challenging task, especially in large-scale problems. Multigrid methods are one of the most efficient solv…