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Haohao Wang, Limin Gao and Baohai Wu
Many probability-based uncertainty quantification (UQ) schemes require a large amount of sampled data to build credible probability density function (PDF) models for uncertain parameters. Unfortunately, the amounts of data collected as to compressor blad...
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Xiaofeng Sun, Miaoyu Cai, Jingkui Wang and Chunlei Liu
The ship wave is of great interest for wave drag and coastal erosion. This paper proposes a mechanism of ship wave transformation to explore the effects of ship speed and ship size on the waveform. Firstly, based on the theory of potential flow, the boun...
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Anargiros I. Delis, Maria Kazolea and Maria Gaitani
This work aims to supplement the realization and validation of a higher-order well-balanced unstructured finite volume (FV) scheme, that has been relatively recently presented, for numerically simulating weakly non-linear weakly dispersive water waves ov...
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Wenpeng Ma, Wu Yuan and Xiazhen Liu
Incomplete Sparse Approximate Inverses (ISAI) has shown some advantages over sparse triangular solves on GPUs when it is used for the incomplete LU based preconditioner. In this paper, we extend the single GPU method for Block?ISAI to multiple GPUs algor...
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Filippo Zanetti and Luca Bergamaschi
We review a number of preconditioners for the advection-diffusion operator and for the Schur complement matrix, which, in turn, constitute the building blocks for Constraint and Triangular Preconditioners to accelerate the iterative solution of the discr...
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Luca Bergamaschi
The aim of this survey is to review some recent developments in devising efficient preconditioners for sequences of symmetric positive definite (SPD) linear systems ????????=????,??=1,?
A
k
x
k
=
b
k
,
k
=
1
,
?
arising in many scientific applications, ...
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The ability to model fluid flow and heat transfer in process equipment (e.g., shell-and-tube heat exchangers) is often critical. What is more, many different geometric variants may need to be evaluated during the design process. Although this can be done...
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Manuel Valera, Mary P. Thomas, Mariangel Garcia and Jose E. Castillo
The General Curvilinear Coastal Ocean Model (GCCOM) is a 3D curvilinear, structured-mesh, non-hydrostatic, large-eddy simulation model that is capable of running oceanic simulations. GCCOM is an inherently computationally expensive model: it uses an elli...
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Silva, R. S. Almeida, R. C. Galeao, A. C.
Pág. 197 - 204
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Zhu, Y. Cangellaris, A. C.
Pág. 1984 - 1989
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