Improvements to SLEPc in Releases 3.14–3.18
José E. Román, Fernando Alvarruiz, Carmen Campos, Lisandro Dalcín, Pierre Jolivet, Alejandro Lamas Daviña · ACM Transactions on Mathematical Software · 2023
This short article describes the main new features added to SLEPc, the Scalable Library for Eigenvalue Problem Computations, in the past two and a half years, corresponding to five release versions. The main novelty is the extension of the SVD module with new problem types, such as the generalized SVD or the hyperbolic SVD. Additionally, many improvements have been incorporated in different parts of the library, including contour integral eigensolvers, preconditioning, and GPU support.