A conservative sine pseudo-spectral-difference method for multi-dimensional coupled Gross–Pitaevskii equations
Sign Up to like & getrecommendations! Published in 2020 at "Advances in Computational Mathematics"
DOI: 10.1007/s10444-020-09769-z
Abstract: In this paper, a sine pseudo-spectral-difference scheme that preserves the discrete mass and energy is presented and analyzed for the coupled Gross–Pitaevskii equations with Dirichlet boundary conditions in several spatial dimensions. The Crank–Nicolson finite difference… read more here.
Keywords: pseudo spectral; difference; sine pseudo; coupled gross ... See more keywords
Study of the Spectral Difference Numerical Dissipation for Turbulent Flows Using Unstructured Grids
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DOI: 10.1007/s10494-017-9847-5
Abstract: In this paper, the numerical dissipation properties of the Spectral Difference (SD) method are studied in the context of vortex dominated flows and wall-bounded turbulence, using uniform and distorted grids. First, the validity of using… read more here.
Keywords: study spectral; spectral difference; dissipation; numerical dissipation ... See more keywords
Hybrid Spectral Difference Methods for Elliptic Equations on Exterior Domains with the Discrete Radial Absorbing Boundary Condition
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Scientific Computing"
DOI: 10.1007/s10915-017-0570-0
Abstract: The hybrid spectral difference methods (HSD) for the Laplace and Helmholtz equations in exterior domains are proposed. We consider the fictitious domain method with the absorbing boundary conditions (ABCs). The HSD method is a finite… read more here.
Keywords: difference; equations exterior; difference methods; discrete radial ... See more keywords
Spectral-Difference Low-Rank Representation Learning for Hyperspectral Anomaly Detection
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DOI: 10.1109/tgrs.2020.3046727
Abstract: Anomaly detection of a hyperspectral image without any prior information has attracted much more attention in remote sensing image understanding and interpretation, which aims at determining whether a sample belongs to background or anomaly. Low-rank… read more here.
Keywords: low rank; spectral difference; rank; difference low ... See more keywords
Spectral Difference Guided Graph Attention Autoencoder for Hyperspectral Anomaly Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3222499
Abstract: Hyperspectral anomaly detection (HAD) aims at distinguishing anomalies from background in an unsupervised manner. Autoencoder (AE) and its variant-based methods have achieved promising detection performance in HAD. However, most existing methods neglect to exploit the… read more here.
Keywords: hyperspectral anomaly; spectral difference; detection; anomaly detection ... See more keywords