HODLRlib is a flexible library for performing matrix operations like matrix-vector products, solving and determinant computation in near-linear complexity(for matrices that resemble a HODLR structure). The solver has also been extended to matrices not necessarily arising out of kernels and also to higher dimensions. Further, the solver has been optimized and the running time of the solver is now massively (a few orders of magnitude) faster than the running times reported in the original articles[1][2]. Low-rank approximation of the appropriate blocks are obtained using the rook pivoting algorithm. The domain is sub-divided based on a KDTree. The solver is fairly general, works with minimal restrictions and has been parallelized using OpenMP.
For more details on the usage of the library, visit the documentation page.
MatVecs: Obtains 
Factorization: Factors the matrix 
Cholesky-like Symmetric Factorization: Obtains 
Solve: Solves linear systems 
Determinant Computation: Additional Cost of
Date: January 6th, 2019
Copyleft 2019: Sivaram Ambikasaran
Developed by Sivaram Ambikasaran, Karan Raj Singh, Shyam Sundar Sankaran
This program is free software; you can redistribute it and/or modify it under the terms of MPL2 license. The Source Code Form is subject to the terms of the Mozilla Public License, v. 2.0. If a copy of the MPL was not distributed with this file, You can obtain one at http://mozilla.org/MPL/2.0/.