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Package: r-cran-rlinsolve (0.3.2-1)

Iterative Solvers for (Sparse) Linear System of Equations

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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Architecture Package Size Installed Size Files
amd64 353.4 kB786 kB [list of files]
arm64 326.1 kB666 kB [list of files]
armhf 378.9 kB741 kB [list of files]
ppc64el 387.2 kB942 kB [list of files]