r-cran-rlinsolve

Description

Solving a system of linear equations is one of the most fundamental computational problems for many fields of mathematical studies, such as regression problems from statistics or numerical partial differential equations. Rlinsolve provides basic stationary iterative solvers such as Jacobi, Gauss-Seidel, Successive Over-Relaxation and SSOR methods. Nonstationary, also known as Krylov subspace methods are also provided. Sparse matrix computation is also supported in that solving large and sparse linear systems can be manageable using Matrix package along with RcppArmadillo. For a more detailed description, see a book by Saad (2003), doi:10.1137/1.9780898718003.

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Homepage

https://cran.r-project.org/package=Rlinsolve

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