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dune-istl
Commits
42ff49f9
Commit
42ff49f9
authored
9 years ago
by
Felix Gruber
Committed by
Ansgar Burchardt
9 years ago
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fix typos in comments
parent
822e1195
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dune/istl/multitypeblockvector.hh
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-2
2 additions, 2 deletions
dune/istl/multitypeblockvector.hh
dune/istl/novlpschwarz.hh
+1
-1
1 addition, 1 deletion
dune/istl/novlpschwarz.hh
dune/istl/schwarz.hh
+2
-2
2 additions, 2 deletions
dune/istl/schwarz.hh
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5 deletions
dune/istl/multitypeblockvector.hh
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42ff49f9
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@@ -185,8 +185,8 @@ namespace Dune {
/**
@brief Vector scalar multiplication
multiplies the
the
current elements of x and y and recursively
and
sums it all up. Provides to variants:
multiplies the current elements of x and y and recursively
sums it all up. Provides to variants:
1) 'mul' computes the indefinite inner product and
2) 'dot' provides an inner product by conjugating the first argument
*/
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dune/istl/novlpschwarz.hh
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42ff49f9
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@@ -38,7 +38,7 @@ namespace Dune {
* well as data parallel parallelisation approaches.
*
* The \ref ISTL_Solvers "solvers" can easily be turned into parallel solvers
* initializing them with matching parallel subclasses of the
the
base classes
* initializing them with matching parallel subclasses of the base classes
* ScalarProduct, Preconditioner and LinearOperator.
*
* The information of the data distribution is provided by OwnerOverlapCopyCommunication
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dune/istl/schwarz.hh
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@@ -34,11 +34,11 @@ namespace Dune {
* (implicitly) know the data distribution and communication patterns,
* there is a clear separation of the parallel data composition together
* with the communication APIs from the data structures. This allows for
* implementing over
a
lapping and nonoverlapping domain decompositions as
* implementing overlapping and nonoverlapping domain decompositions as
* well as data parallel parallelisation aproaches.
*
* The \ref ISTL_Solvers "solvers" can easily be turned into parallel solvers
* initializing them with matching parallel subclasses of the
the
base classes
* initializing them with matching parallel subclasses of the base classes
* ScalarProduct, Preconditioner and LinearOperator.
*
* The information of the data distribution is provided by OwnerOverlapCopyCommunication
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