2 papers
stat.CO2021
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…
cs.MS2019
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…