Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations

HIGHLIGHTS

  • who: Dynamical low-rank approximation Matrix and colleagues from the Institute for Applied and, Karlsruhe Institute of Technology, Karlsruhe, Germany have published the Article: Rank-adaptive dynamical low-rank integrators for first-order and second-order matrix differential equations, in the Journal: (JOURNAL)
  • what: The authors propose a novel strategy for choosing the of the projector-splitting integrator of Lubich and Oseledets adaptively. The authors determine the rank such that the error of the dynamical low-rank approximation does not spoil the order of the underlying splitting method applied to the full matrix differential equation . . .

     

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