PyTrilinos::ML::Space Class Reference
List of all members.
Detailed Description
Specifies the number and distribution among processes of elements.
Marzio Sala, SNL 9214
C++ includes: MLAPI_Space.h
Member Function Documentation
| def PyTrilinos::ML::Space::__call__ |
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__call__(self, int i) -> int
| def PyTrilinos::ML::Space::__call__ |
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__call__(self, int i) -> int
| def PyTrilinos::ML::Space::__eq__ |
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__eq__(self, Space RHS) -> bool
| def PyTrilinos::ML::Space::__eq__ |
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__eq__(self, Space RHS) -> bool
| def PyTrilinos::ML::Space::__init__ |
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__init__(self) -> Space
__init__(self, int NumGlobalElements, int NumMyElements = -1) -> Space
__init__(self, Map Map) -> Space
__init__(self, int numGlobalElements, sequence myGlobalElements) -> Space
__init__(self, Space RHS) -> Space
MLAPI::Space::Space(const
Space &RHS)
Copy constructor.
| def PyTrilinos::ML::Space::__init__ |
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__init__(self) -> Space
__init__(self, int NumGlobalElements, int NumMyElements = -1) -> Space
__init__(self, Map Map) -> Space
__init__(self, int numGlobalElements, sequence myGlobalElements) -> Space
__init__(self, Space RHS) -> Space
MLAPI::Space::Space(const
Space &RHS)
Copy constructor.
| def PyTrilinos::ML::Space::__ne__ |
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__ne__(self, Space RHS) -> bool
| def PyTrilinos::ML::Space::__ne__ |
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__ne__(self, Space RHS) -> bool
| def PyTrilinos::ML::Space::GetMyGlobalElements |
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GetMyGlobalElements(self) -> Epetra.SerialDenseVector
Return an Epetra.SerialDenseVector of global indexes representing the
elements on this processor. If the Space is distributed linearly,
this method returns None.
| def PyTrilinos::ML::Space::GetMyGlobalElements |
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GetMyGlobalElements(self) -> Epetra.SerialDenseVector
Return an Epetra.SerialDenseVector of global indexes representing the
elements on this processor. If the Space is distributed linearly,
this method returns None.
| def PyTrilinos::ML::Space::GetNumGlobalElements |
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GetNumGlobalElements(self) -> int
int
MLAPI::Space::GetNumGlobalElements() const
Returns the global number of elements.
| def PyTrilinos::ML::Space::GetNumGlobalElements |
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GetNumGlobalElements(self) -> int
int
MLAPI::Space::GetNumGlobalElements() const
Returns the global number of elements.
| def PyTrilinos::ML::Space::GetNumMyElements |
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GetNumMyElements(self) -> int
int
MLAPI::Space::GetNumMyElements() const
Returns the local number of elements on the calling process.
| def PyTrilinos::ML::Space::GetNumMyElements |
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GetNumMyElements(self) -> int
int
MLAPI::Space::GetNumMyElements() const
Returns the local number of elements on the calling process.
| def PyTrilinos::ML::Space::GetOffset |
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GetOffset(self) -> int
int
MLAPI::Space::GetOffset() const
Returns the global ID of the first element on the calling process (for
linear distributions only).
| def PyTrilinos::ML::Space::GetOffset |
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GetOffset(self) -> int
int
MLAPI::Space::GetOffset() const
Returns the global ID of the first element on the calling process (for
linear distributions only).
| def PyTrilinos::ML::Space::IsLinear |
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IsLinear(self) -> bool
bool
MLAPI::Space::IsLinear() const
Returns true if the decomposition among processors is linear.
| def PyTrilinos::ML::Space::IsLinear |
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IsLinear(self) -> bool
bool
MLAPI::Space::IsLinear() const
Returns true if the decomposition among processors is linear.
| def PyTrilinos::ML::Space::Reshape |
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Reshape(self)
Reshape(self, int NumGlobalElements, int NumMyElements = -1)
Reshape(self, int NumGlobalElements, int NumMyElements)
void
MLAPI::Space::Reshape(const int NumGlobalElements, const int
NumMyElements, const int *MyGlobalElements)
Reset the dimension of the space by specifying the local number of
elements and their global numbering (starting from 0).
| def PyTrilinos::ML::Space::Reshape |
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Reshape(self)
Reshape(self, int NumGlobalElements, int NumMyElements = -1)
Reshape(self, int NumGlobalElements, int NumMyElements)
void
MLAPI::Space::Reshape(const int NumGlobalElements, const int
NumMyElements, const int *MyGlobalElements)
Reset the dimension of the space by specifying the local number of
elements and their global numbering (starting from 0).
The documentation for this class was generated from the following files:
- build/lib.linux-x86_64-2.5/PyTrilinos/ML.py
- PyTrilinos/ML.py