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A fast, accurate direct solver and determinant computation for dense linear systems

License: Other

CMake 5.36% Shell 1.70% C++ 83.89% Python 9.05%

hodlr's Introduction

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HODLRlib

Build Status Documentation Status

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.

Features:

Fast matrix vector products: Obtains at a cost of

Fast solution of linear systems: Solves linear systems in

Fast symmetric factorization: Compute at a cost of

Fast determinant computation: Compute the determinant at an additional cost of

Version 3.1415

Date: November 29th, 2018

Copyleft 2018: Sivaram Ambikasaran

Developed by Sivaram Ambikasaran, Karan Raj Singh, Shyam Sundar Sankaran

License:

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/.

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