Results 41 to 50 of about 910,199 (344)
A survey of kernel and spectral methods for clustering [PDF]
, 2007 Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with a special interest in two recent approaches: kernel and spectral methods ...
Masulli, F. +11 more
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An Accelerated Method for Investigating Spectral Properties of Dynamically Evolving Nanostructures
, 2022 The discrete-dipole approximation (DDA) is widely applied to study the spectral properties of plasmonic nanostructures. However, the high computational cost limits the application of DDA in static geometries, making it impractical for investigating ...
Yibin, Jiang +2 more
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Optimizations of the Spatial Decomposition Method for Binaural Reproduction
, 2021 The spatial decomposition method (SDM) can be used to parameterize and reproduce a sound field based on measured multichannel room impulse responses (RIRs).
S. V. A. Garí +3 more
semanticscholar +1 more source
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES, 2017 One of the challenges in electromagnetics is to solve electromagnetic fields originated from a radiating source or a scattering object in distances that largely exceed the dimensions of the source or scatterer. In this paper, domain decomposition based on the application reasoning of the perfectly matched layer (PML) is studied by the spectral element ...
I. Mahariq
semanticscholar +3 more sources
Proper general decomposition (PGD) for the resolution of Navier–Stokes equations [PDF]
, 2011 In this work, the PGD method will be considered for solving some problems of fluid mechanics by looking for the solution as a sum of tensor product functions. In the first stage, the equations of Stokes and Burgers will be solved. Then, we will solve the
ALLERY, Cyrille +5 more
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Tensor-Based Low-Rank and Sparse Prior Information Constraints for Hyperspectral Image Denoising
IEEE Access, 2020 Hyperspectral data have been widely used in various fields due to its rich spectral and spatial information in recent years. Yet, hyperspectral images are always tainted by a variety of mixed noises.
Guxi Wang +5 more
doaj +1 more source
Proper generalized decomposition of time-multiscale models [PDF]
, 2011 Models encountered in computational mechanics could involve many time scales. When these time scales cannot be separated, one must solve the evolution model in the entire time interval by using the finest time step that the model implies.
CHINESTA SORIA, Francisco +8 more
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Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator. [PDF]
Chaos, 2017 Numerical approximation methods for the Koopman operator have advanced considerably in the last few years. In particular, data-driven approaches such as dynamic mode decomposition (DMD)51 and its generalization, the extended-DMD (EDMD), are becoming ...
Qianxao Li +3 more
semanticscholar +1 more source
Propulsion and Power Research, 2018 In this paper, we apply a new modification of the Adomian decomposition method for solving the problem of boundary layer convective heat transfer with viscous dissipation and low pressure gradient over a at plate.
Yassir Daoud, Ahmed A. Khidir
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Journal of King Saud University: Computer and Information Sciences, 2022 Clustering on graphs (networks) is becoming intractable due to increasing sizes. Nyström spectral graph clustering (NSC) is a popular method to circumvent the problem.
Jingzhi Tu +2 more
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