1 citations · 1 across the 3 of their papers we have counts for
3 papers
Identification of unknown parameters and prediction with hierarchical matrices
Alexander Litvinenko, Ronald Kriemann, Vladimir Berikov
Statistical analysis of massive datasets very often implies expensive linear algebra operations with large dense matrices. Typical tasks are an estimation of unknown parameters of…
A fast iterative algorithm for near-diagonal eigenvalue problems
Maseim Kenmoe, Ronald Kriemann, Matteo Smerlak +1
We introduce a novel eigenvalue algorithm for near-diagonal matrices inspired by Rayleigh-Schrödinger perturbation theory and termed Iterative Perturbative Theory (IPT). Contrary t…
Semi-Automatic Task Graph Construction for -Matrix Arithmetic
Steffen Börm, Sven Christophersen, Ronald Kriemann
A new method to construct task graphs for \mcH-matrix arithmetic is introduced, which uses the information associated with all tasks of the standard recursive \mcH-matrix algorithm…