Fast algorithms for hierarchically semiseparable matrices

By Jianlin Xia, S. Chandrasekaran, Ming Gu, Xiaoye Sherry Li. 2010

347 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. David J. Biagioni
2. Shen Wang
3. Maarten V. de Hoop
4. Jianlin Xia

Citations in the corpus

• HyperNetworks (2016, neutral): “) is similar to the hierarchically semiseparable matrix approach proposed by Xia et al. (2010).”
• Numerical construction of Green's functions in high dimensional elliptic problems with variable coefficients and analysis of renewable energy data via sparse and separable approximations (2012, methodology): “These methods include fast multipole (FMM) [63, 38], panel clustering [64, 121], Hmatrices [65, 67], matrix skeletonization [99, 37], and hierarchically semiseparable (HSS) matrices [33, 32, 149, 98].”
• On 3D modeling of seismic wave propagation via a structured parallel multifrontal direct Helmholtz solver (2011, methodology): “Related HSS algorithms are used (Chandrasekaran, Gu and Pals 2006; Xia et al. 2010; Chandrasekaran et al. 2006; Xia et al. 2009, 2010; Wang et al. 2010).”