2026-06-03T03:38:50Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/356172026-02-03T11:35:02Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Guo, J. author López-Fernández, María author 2024 We consider the application of the generalized convolution quadrature (gCQ) to approximate the solution of an important class of sectorial problems. The gCQ is a generalization of Lubich’s convolution quadrature (CQ) that allows for variable steps. The available stability and convergence theory for the gCQ requires non realistic regularity assumptions on the data, which do not hold in many applications of interest, such as the approximation of subdiffusion equations. It is well known that for non smooth enough data the original CQ, with uniform steps, presents an order reduction close to the singularity. We generalize the analysis of the gCQ to data satisfying realistic regularity assumptions and provide sufficient conditions for stability and convergence on arbitrary sequences of time points. We consider the particular case of graded meshes and show how to choose them optimally, according to the behaviour of the data. An important advantage of the gCQ method is that it allows for a fast and memory reduced implementation. We describe how the fast and oblivious gCQ can be implemented and illustrate our theoretical results with several numerical experiments. Guo, J., Lopez-Fernandez, M. Generalized convolution quadrature for non smooth sectorial problems. Calcolo 62, 5 (2025). https://doi.org/10.1007/s10092-024-00629-6 https://hdl.handle.net/10630/35617 https://doi.org/10.1007/s10092-024-00629-6 Convoluciones (Matemáticas) Generalized convolution quadrature for non smooth sectorial problems