Reduced Basis Methods: From Low-Rank Matrices to Low-Rank Tensors
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Publication:5739958
DOI10.1137/15M1042784zbMath1382.15036MaRDI QIDQ5739958
Jonas Ballani, Daniel Kressner
Publication date: 7 July 2016
Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)
reduced basis methodlow-rank tensorparametric partial differential equationhierarchical tensor format
Related Items (6)
Multilevel tensor approximation of PDEs with random data ⋮ Proximal gradient algorithm for nonconvex low tubal rank tensor recovery ⋮ Direct tensor-product solution of one-dimensional elliptic equations with parameter-dependent coefficients ⋮ A Hybrid Alternating Least Squares--TT-Cross Algorithm for Parametric PDEs ⋮ Comparing (Empirical-Gramian-Based) Model Order Reduction Algorithms ⋮ A Non-stationary Thermal-Block Benchmark Model for Parametric Model Order Reduction
Uses Software
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