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TNL
tnl-dev
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2a391c06
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2a391c06
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3 years ago
by
Tomáš Oberhuber
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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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