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  "Description": "Solving a system of linear equations is one of the most\nfundamental computational problems for many fields of\nmathematical studies, such as regression problems from\nstatistics or numerical partial differential equations. We\nprovide basic stationary iterative solvers such as Jacobi,\nGauss-Seidel, Successive Over-Relaxation and SSOR methods.\nNonstationary, also known as Krylov subspace methods are also\nprovided. Sparse matrix computation is also supported in that\nsolving large and sparse linear systems can be manageable using\n'Matrix' package along with 'RcppArmadillo'. For a more\ndetailed description, see a book by Saad (2003)\n<doi:10.1137/1.9780898718003>.",
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