Tensor-based methods for numerical homogenization from high-resolution images
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Publication:465730
DOI10.1016/j.cma.2012.10.012zbMath1297.65138OpenAlexW1969693001MaRDI QIDQ465730
Anthony Nouy, Grégory Legrain, Loïc Giraldi, Patrice Cartraud
Publication date: 24 October 2014
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2012.10.012
model reductionnumerical homogenizationproper generalized decomposition (PGD)goal-oriented error estimationimage-based computingtensor methods
Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21)
Related Items (6)
Numerical solution of high dimensional stationary Fokker-Planck equations via tensor decomposition and Chebyshev spectral differentiation ⋮ FFT-based homogenisation accelerated by low-rank tensor approximations ⋮ Automatic digital-numerical integrated analysis by the image-based meshless method ⋮ Approximation rates for the hierarchical tensor format in periodic Sobolev spaces ⋮ Greedy algorithms for high-dimensional eigenvalue problems ⋮ A literature survey of low-rank tensor approximation techniques
Uses Software
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