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000957675 001__ 957675 000957675 005__ 20260306144849.0 000957675 0247_ $$2arXiv$$aarXiv:1910.07052 000957675 0247_ $$2DOI$$a10.48550/ARXIV.1910.07052 000957675 037__ $$aRWTH-2023-04916 000957675 041__ $$aEnglish 000957675 1001_ $$0P:(DE-82)IDM00424$$aBachmayr, Markus$$b0 000957675 245__ $$aAdaptive Low-Rank Approximations for Operator Equations: Accuracy Control and Computational Complexity$$honline 000957675 260__ $$c2019 000957675 3367_ $$028$$2EndNote$$aElectronic Article 000957675 3367_ $$0PUB:(DE-HGF)25$$2PUB:(DE-HGF)$$aPreprint$$bpreprint$$mpreprint$$s1683121794_9360 000957675 3367_ $$2BibTeX$$aARTICLE 000957675 3367_ $$2DRIVER$$apreprint 000957675 3367_ $$2DataCite$$aOutput Types/Working Paper 000957675 3367_ $$2ORCID$$aWORKING_PAPER 000957675 588__ $$aDataset connected to arXivarXiv 000957675 591__ $$aGermany 000957675 653_7 $$aNonlinear approximation, Tensor formats, low-rank approximation, hard and soft thresholding, high-dimensional diffusion equations, parametric PDEs, approximation classes, a posteriori error bounds, convergence and complexity 000957675 7001_ $$aDahmen, Wolfgang$$b1 000957675 9141_ $$y2019 000957675 961__ $$c2023-05-03T15:51:12.795699$$x2023-05-03T15:51:12.795699$$z2023-05-04 000957675 9801_ $$aEXTERN4VITA 000957675 980__ $$aI:(DE-82)110000_20140620 000957675 980__ $$aI:(DE-82)111410_20170801 000957675 980__ $$aUNRESTRICTED 000957675 980__ $$apreprint