If you use BasicLU.jl in your work, please cite using the format given in CITATION.bib.
pkg> add BasicLU
pkg> test BasicLU
BasicLU implements a sparse LU factorization and an update method that maintains the factorization after column changes to the matrix. It is intended for use in simplex-type algorithms and has been tailored to hypersparse linear programming problems. It provides routines for solving linear systems with a dense or sparse right-hand side. BasicLU can be also used to compute a maximum volume basis and the row deficiency of a m-by-n matrix A.
Note: BasicLU is already precompiled with Yggdrasil for all platforms.
To use your custom BasicLU, set the environment variable
to point to the folder holding the basicLU shared libraries before
JULIA_BASICLU_LIBRARY_PATH environment variable may be set permanently in the shell's startup file, or in
If you think you found a bug, feel free to open an issue. Focused suggestions and requests can also be opened as issues. Before opening a pull request, start an issue or a discussion on the topic, please.
If you want to ask a question not suited for a bug report, feel free to start a discussion here. This forum is for general discussion about this repository and the JuliaSmoothOptimizers organization, so questions about any of our packages are welcome.