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Based on this fact, the conventional FOD are applied to design fixed Riesz FOD including fractional differencing method, Tustin׳s method and discrete cosine transform method.
This paper presents two new three-dimensional contact algorithms for staggered Lagrangian Hydrodynamics, named discrete accurate matching method and discrete Lagrangian multiplier method.
This study will discuss the development of a coupled finite volume method and discrete element method (FVM-DEM) numerical framework to investigate the mechanisms governing particulate fouling in an idealized metal foam heat exchanger.
A designing philosophy utilizing the similarity between hardware, software and the problems to be solved is embodied, based on the multi-scale method and discrete simulation approaches developed at Institute of Process Engineering IPEE) and implemented in a graphic processing unit (GPU -based hybrid computinGPU -based
In order to reduce the large dimensionality of the data set while keeping the relevant information provided by the sensors, two different methods of feature selection and data compression were used (the kernels method and Discrete Wavelet Transform feature extraction method).
Direct numerical simulation (DNS) for gas solid flow is implemented on a multi-scale supercomputing system Mole-8.5 featuring masystem Mole-8.5GPU–CPU hybrid computing, featuring the lattice Boltzmassivethod (LBM) is deparalleloGPU CPUwithybridimmersed moving boundary (IMB) method and discomputingment method (DEM).
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In order to model soil-tool interaction two methods namely; finite element method (FEM) and discrete element method (DEM) have been used.
We compare our results with the results of discrete Galerkin methods and discrete collocation methods, respectively, given in [8].
We compare our methods with other methods such as discrete Galerkin methods and discrete collocation methods given in [8], Nyström methods given in [5], Iteration methods given in [4] and Petrov Galerkin elements via Chebyshev polynomials described in [2].
In our paper, we combine the advantages of nonstandard finite difference methods and discrete variational principles to construct multi-symplectic numerical schemes for the nonlinear Schrödinger equation with variable coefficients (1).
We developed dynamic load-balancing algorithms for Particle Simulation Methods (PSM) involving short-range interactions, such as Smoothed Particle Hydrodynamics (SPH), Moving Particle Semi-implicit method (MPS), and Discrete Element method (DEM).
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