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Commit 2a391c06 authored by Tomáš Oberhuber's avatar Tomáš Oberhuber
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Updating 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
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