Search Results - "Liu, Dishi"

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  1. 1

    Analysis of the spatial and temporal distributions of ecological variables and the nutrient budget in the Beibu Gulf by Pan, Huanglei, Liu, Dishi, Shi, Dalin, Yang, Shengyun, Pan, Weiran

    Published in Acta oceanologica Sinica (01-08-2021)
    “…Based on a hydrodynamic-ecological model, the temperature, salinity, current, phytoplankton (Chl a ), zooplankton, and nutrient (dissolved inorganic nitrogen,…”
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    Journal Article
  2. 2

    Marine Environmental Regionalization for the Beibu Gulf Based on a Physical-Biological Model by Pan, Huanglei, Yu, Xiaolong, Liu, Dishi, Shi, Dalin, Yang, Shengyun, Pan, Weiran

    Published in Journal of marine science and engineering (01-02-2021)
    “…A physical–biological ocean model was employed to investigate characteristics of the Beibu Gulf in the northwest South China Sea (SCS) from 2011 to 2015. We…”
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    Journal Article
  3. 3

    FFT-based homogenisation accelerated by low-rank tensor approximations by Vondřejc, Jaroslav, Liu, Dishi, Ladecký, Martin, Matthies, Hermann G.

    “…Fast Fourier transform (FFT) based methods have turned out to be an effective computational approach for numerical homogenisation. In particular,…”
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    Journal Article
  4. 4

    Efficient Simulation of Random Fields by Trigonometric Polynomial and Low‐rank Tensor by Liu, Dishi, Vondřejc, Jaroslav, Matthies, Hermann

    “…We propose a fast and economic representation of stationary random fields in trigonometric polynomial, utilizing the prowess of fast Fourier transform (FFT)…”
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    Journal Article
  5. 5

    Reduced‐order FFT‐based homogenisation by tensor approximation by Liu, Dishi, Vondřejc, Jaroslav, Ladecký, Martin, Matthies, Hermann

    “…We enhanced the efficiency of Fast Fourier transform (FFT) based Galerkin methods on numerical homogenisation problems by exploiting low‐rank tensor…”
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    Journal Article
  6. 6

    Kriging in Tensor Train data format by Dolgov, Sergey, Litvinenko, Alexander, Liu, Dishi

    Published 21-04-2019
    “…Combination of low-tensor rank techniques and the Fast Fourier transform (FFT) based methods had turned out to be prominent in accelerating various statistical…”
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    Journal Article
  7. 7

    FFT-based homogenisation accelerated by low-rank tensor approximations by Vondřejc, Jaroslav, Liu, Dishi, Ladecký, Martin, Matthies, Hermann G

    Published 11-02-2020
    “…Fast Fourier transform (FFT) based methods have turned out to be an effective computational approach for numerical homogenisation. In particular,…”
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    Journal Article
  8. 8

    Pivoted Cholesky decomposition by Cross Approximation for efficient solution of kernel systems by Liu, Dishi, Matthies, Hermann G

    Published 21-05-2015
    “…Large kernel systems are prone to be ill-conditioned. Pivoted Cholesky decomposition (PCD) render a stable and efficient solution to the systems without a…”
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    Journal Article
  9. 9

    Quantification of airfoil geometry-induced aerodynamic uncertainties - comparison of approaches by Liu, Dishi, Litvinenko, Alexander, Schillings, Claudia, Schulz, Volker

    Published 21-05-2015
    “…Uncertainty quantification in aerodynamic simulations calls for efficient numerical methods since it is computationally expensive, especially for the…”
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  10. 10

    To be or not to be intrusive? The solution of parametric and stochastic equations --- Proper Generalized Decomposition by Giraldi, Loïc, Liu, Dishi, Matthies, Hermann G, Nouy, Anthony

    Published 05-05-2014
    “…SIAM J. Sci. Comput. 37(1) (2015) A347-A368 A numerical method is proposed to compute a low-rank Galerkin approximation to the solution of a parametric or…”
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  11. 11

    To be or not to be intrusive? The solution of parametric and stochastic equations - the "plain vanilla" Galerkin case by Giraldi, Loïc, Litvinenko, Alexander, Liu, Dishi, Matthies, Hermann G, Nouy, Anthony

    Published 06-09-2013
    “…SIAM J. Sci. Comput., 2014 In parametric equations - stochastic equations are a special case - one may want to approximate the solution such that it is easy to…”
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