2023/05/25 by Birgit Jacob, Jacob, Birgit, Lukas Vorberg +3
Environmental Science · Mathematics · Physics and Astronomy · #FOS: Mathematics #Numerical Analysis (math.NA) #Scientific Research and Discoveries #Soil Geostatistics and Mapping #Spectral Theory (math.SP) #Statistical and numerical algorithms
paper · pdf · doi:10.48550/arxiv.2305.16079
openalex publication_date 2023/05/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A novel algorithm for the computation of the quadratic numerical range is presented and exemplified yielding much better results in less time compared to the random vector sampling method. Furthermore, a bound on the probability for the random vector sampling method to produce a point exceeding a neighborhood of the expectation value in dependence on norm and size of the matrix is given.