htucker - A Matlab toolbox for tensors in hierarchical Tucker format. The hierarchical Tucker format is a storage-efficient scheme to approximate and represent tensors of possibly high order. This paper presents a Matlab toolbox, along with the underlying methodology and algorithms, which provides a convenient way to work with this format. The toolbox not only allows for the efficient storage and manipulation of tensors in hierarchical Tucker format but also others a set of tools for the development of higher-level algorithms. Several examples for the use of the toolbox are given.
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References in zbMATH (referenced in 11 articles )
Showing results 1 to 11 of 11.
- Zhang, Junyu; Wen, Zaiwen; Zhang, Yin: Subspace methods with local refinements for eigenvalue computation using low-rank tensor-train format (2017)
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- Da Silva, Curt; Herrmann, Felix J.: Optimization on the hierarchical Tucker manifold - applications to tensor completion (2015)
- Arnold, Andreas; Jahnke, Tobias: On the approximation of high-dimensional differential equations in the hierarchical Tucker format (2014)
- Dahlke, Stephan (ed.); Dahmen, Wolfgang (ed.); Griebel, Michael (ed.); Hackbusch, Wolfgang (ed.); Ritter, Klaus (ed.); Schneider, Reinhold (ed.); Schwab, Christoph (ed.); Yserentant, Harry (ed.): Extraction of quantifiable information from complex systems (2014)
- Kressner, Daniel; Tobler, Christine: Algorithm 941: htucker -- a Matlab toolbox for tensors in hierarchical Tucker format (2014)
- Lubich, Christian; Rohwedder, Thorsten; Schneider, Reinhold; Vandereycken, Bart: Dynamical approximation by hierarchical Tucker and tensor-train tensors (2013)
- Uschmajew, André; Vandereycken, Bart: The geometry of algorithms using hierarchical tensors (2013)
- Kressner, Daniel; Tobler, Christine: Low-rank tensor Krylov subspace methods for parametrized linear systems (2011)
- Kressner, Daniel; Tobler, Christine: Preconditioned low-rank methods for high-dimensional elliptic PDE eigenvalue problems (2011)