AI & ML
Classification of Double Saddle-Point Systems
arXiv cs.NA0 views
arXiv:2605.14157v2 Announce Type: replace Abstract: We offer a classification of a broad and practically relevant class of symmetric double saddle-point system. At the core of the paper is the division of the associated matrices into ``block-arrow'' and ``block-tridiagonal'' forms. We describe relevant applications, invertibility conditions, spectral properties, and block preconditioners. Our discussion is kept within a general framework rather than tailored to specific applications.
Source:https://arxiv.org/abs/2605.14157PreviousLocal discontinuous Galerkin FEM for convex minimizationNextCompensated Splitting For Generalized Lyapunov Equations
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