TTPY

TTPY: Python implementation of the Tensor Train (TT) - Toolbox. Python implementation of the Tensor Train (TT) - Toolbox. It contains several important packages for working with the TT-format in Python. It is able to do TT-interpolation, solve linear systems, eigenproblems, solve dynamical problems. Several computational routines are done in Fortran (which can be used separatedly), and are wrapped with the f2py tool.

Keywords for this software

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References in zbMATH (referenced in 7 articles )

Showing results 1 to 7 of 7.
Sorted by year (citations)

  1. Markeeva, L.; Tsybulin, I.; Oseledets, I.: QTT-isogeometric solver in two dimensions (2021)
  2. Novikov, Alexander; Izmailov, Pavel; Khrulkov, Valentin; Figurnov, Michael; Oseledets, Ivan: Tensor train decomposition on TensorFlow (T3F) (2020)
  3. Ballester-Ripoll, Rafael; Paredes, Enrique G.; Pajarola, Renato: Tensor algorithms for advanced sensitivity metrics (2018)
  4. Daniel Suess; Milan Holzäpfel: mpnum: A matrix product representation library for Python (2017) not zbMATH
  5. Eigel, Martin; Pfeffer, Max; Schneider, Reinhold: Adaptive stochastic Galerkin FEM with hierarchical tensor representations (2017)
  6. Matveev, Sergey A.; Zheltkov, Dmitry A.; Tyrtyshnikov, Eugene E.; Smirnov, Alexander P.: Tensor train versus Monte Carlo for the multicomponent Smoluchowski coagulation equation (2016)
  7. Grasedyck, Lars; Kressner, Daniel; Tobler, Christine: A literature survey of low-rank tensor approximation techniques (2013)