Zobrazeno 1 - 10
of 5 301
pro vyhledávání: '"P. Zahedi"'
We extend the divergence preserving cut finite element method presented in [T. Frachon, P. Hansbo, E. Nilsson, S. Zahedi, SIAM J. Sci. Comput., 46 (2024)] for the Darcy interface problem to unfitted outer boundaries. We impose essential boundary cond
Externí odkaz:
http://arxiv.org/abs/2408.10089
Context: Machine learning (ML) and deep learning (DL) analyze raw data to extract valuable insights in specific phases. The rise of continuous practices in software projects emphasizes automating Continuous Integration (CI) with these learning-based
Externí odkaz:
http://arxiv.org/abs/2406.19765
Background: The development of AI-enabled software heavily depends on AI model documentation, such as model cards, due to different domain expertise between software engineers and model developers. From an ethical standpoint, AI model documentation c
Externí odkaz:
http://arxiv.org/abs/2406.18071
Autor:
Fardno, Fatemeh, Zahedi, Seyed Majid
There are only limited classes of multi-player stochastic games in which independent learning is guaranteed to converge to a Nash equilibrium. Markov potential games are a key example of such classes. Prior work has outlined sets of sufficient condit
Externí odkaz:
http://arxiv.org/abs/2405.08206
Autor:
Kananian, Pouya, Zahedi, Seyed Majid
We study the fair and truthful allocation of m divisible public items among n agents, each with distinct preferences for the items. To aggregate agents' preferences fairly, we follow the literature on the fair allocation of public goods and aim to fi
Externí odkaz:
http://arxiv.org/abs/2404.15996
In this paper we present a family of high order cut finite element methods with bound preserving properties for hyperbolic conservation laws in one space dimension. The methods are based on the discontinuous Galerkin framework and use a regular backg
Externí odkaz:
http://arxiv.org/abs/2404.13936
Autor:
Myrbäck, Sebastian, Zahedi, Sara
A mass-conservative high-order unfitted finite element method for convection-diffusion equations in evolving domains is proposed. The space-time method presented in [P. Hansbo, M. G. Larson, S. Zahedi, Comput. Methods Appl. Mech. Engrg. 307 (2016)] i
Externí odkaz:
http://arxiv.org/abs/2404.10756
Autor:
Zahedi, Shayan
A novel theorem in $\mathbb{Z}_2$-equivariant homotopy theory is stated, proven and applied to the topological classification of frustrated magnets in the presence of canonical time-reversal symmetry. This theorem generalises a result which had been
Externí odkaz:
http://arxiv.org/abs/2404.09023
Autor:
A. Zahedi Nejad, P. Zahedi Nejad
Publikováno v:
Iranica Journal of Energy and Environment, Vol 9, Iss 1, Pp 71-77 (2018)
The present paper describes analytical optimization and numerical simulation of a modern hydro-kinetic turbine. It was a tidal turbine with twin elliptic-rotors. The turbines were installed within the twin ducts inside of a tidal dam. There was a gap
Externí odkaz:
https://doaj.org/article/aeb29ef7069140d590aa7c1f155b9e4a
Autor:
Schaeffer, Rylan, Zahedi, Nika, Khona, Mikail, Pai, Dhruv, Truong, Sang, Du, Yilun, Ostrow, Mitchell, Chandra, Sarthak, Carranza, Andres, Fiete, Ila Rani, Gromov, Andrey, Koyejo, Sanmi
Associative memory and probabilistic modeling are two fundamental topics in artificial intelligence. The first studies recurrent neural networks designed to denoise, complete and retrieve data, whereas the second studies learning and sampling from pr
Externí odkaz:
http://arxiv.org/abs/2402.10202