H2Pack: High-performance H2 Matrix Package for Kernel Matrices. H2Pack is a library that provides linear-scaling storage and linear-scaling matrix-vector multiplication for dense kernel matrices. It can be used for Gaussian processes, solving integral equations, Brownian dynamics, and other applications. Please visit the H2Pack GitHub repository for more information.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Huang, Hua; Xing, Xin; Chow, Edmond: H2pack. High-performance (H^2) matrix package for kernel matrices using the proxy point method (2021)
- Ryan, John P.; Damle, Anil: Parallel skeletonization for integral equations in evolving multiply-connected domains (2021)
- Schäfer, Florian; Katzfuss, Matthias; Owhadi, Houman: Sparse Cholesky factorization by Kullback-Leibler minimization (2021)
- Xing, Xin; Huang, Hua; Chow, Edmond: Efficient construction of an HSS preconditioner for symmetric positive definite (\mathcalH^2) matrices (2021)