Commit 2a391c06 authored by Tomáš Oberhuber's avatar Tomáš Oberhuber
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Updating README.md.

parent d96a18d0

README.md

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@@ -30,9 +30,11 @@ several modules: 
  TNL provides generic data structures and algorithms for linear algebra, such

  as [vectors][vectors], [sparse matrices][matrices],

  [Krylov solvers][linear solvers] and [preconditioners][preconditioners].

   - Sparse matrix formats: CSR, Ellpack, Sliced Ellpack, tridiagonal,

     multidiagonal

   - Krylov solvers: CG, BiCGstab, GMRES, CWYGMRES, TFQMR

   - Sparse matrix formats: CSR, Ellpack, Sliced Ellpack, Chunked Ellpack, Bisection Ellpack,

   - tridiagonal, multidiagonal

   - Lambda matrices (matrix elements are defined by C++ lambda functions)

   - Stationary solvers: Jacobi, SOR

   - Krylov solvers: CG, BiCGStab, BICGStab(l), GMRES, CWYGMRES, TFQMR

   - Preconditioners: Jacobi, ILU(0) (CPU only), ILUT (CPU only)

- _[Meshes][meshes]_.

  TNL provides data structures for the representation of structured or