Public Member Functions | |
def | __init__ |
def | __init__ |
def | __initArray__ |
def | __expand_index__ |
def | __getitem__ |
def | __getslice__ |
def | __str__ |
def | __lt__ |
def | __le__ |
def | __eq__ |
def | __ne__ |
def | __gt__ |
def | __ge__ |
def | __getattr__ |
def | __setattr__ |
def | __init__ |
def | __init__ |
def | __initArray__ |
def | __expand_index__ |
def | __getitem__ |
def | __getslice__ |
def | __str__ |
def | __lt__ |
def | __le__ |
def | __eq__ |
def | __ne__ |
def | __gt__ |
def | __ge__ |
def | __getattr__ |
def | __setattr__ |
Public Attributes | |
this |
Proxy of C++ MultiVector class
Epetra.MultiVector: A class for constructing and using dense multi- vectors, vectors and matrices in parallel. The Epetra.MultiVector class enables the construction and use of real- valued, double- precision dense vectors, multi-vectors, and matrices in a distributed memory environment. The dimensions and distribution of the dense multi-vectors is determined in part by a Epetra.Comm object, a Epetra.Map (or Epetra.LocalMap or Epetra.BlockMap) and the number of vectors passed to the constructors described below. There are several concepts that important for understanding the Epetra.MultiVector class: Multi-vectors, Vectors and Matrices. Vector - A list of real-valued, double-precision numbers. Also a multi-vector with one vector. Multi-Vector - A collection of one or more vectors, all having the same length and distribution. (Dense) Matrix - A special form of multi-vector such that stride in memory between any two consecutive vectors in the multi-vector is the same for all vectors. This is identical to a two-dimensional array in Fortran and plays an important part in high performance computations. Distributed Global vs. Replicated Local. Distributed Global Multi- vectors - In most instances, a multi-vector will be partitioned across multiple memory images associated with multiple processors. In this case, there is a unique copy of each element and elements are spread across all processors specified by the Epetra.Comm communicator. Replicated Local Multi-vectors - Some algorithms use multi-vectors that are too small to be distributed across all processors, the Hessenberg matrix in a GMRES computation. In other cases, such as with block iterative methods, block dot product functions produce small dense matrices that are required by all processors. Replicated local multi-vectors handle these types of situation. Multi-vector Functions vs. Dense Matrix Functions. Multi-vector functions - These functions operate simultaneously but independently on each vector in the multi-vector and produce individual results for each vector. Dense matrix functions - These functions operate on the multi-vector as a matrix, providing access to selected dense BLAS and LAPACK operations. In the python implementation, the MultiVector stores an underlying numpy array, with which it shares the data buffer. This underlying numpy array has at least two dimensions, and the first dimension corresponds to the number of vectors. Also, almost all numpy array methods and operators are supported.
def PyTrilinos::Epetra::MultiVector::__eq__ | ( | self, | ||
other | ||||
) |
__eq__(self, other) -> bool Equal operator (==).
def PyTrilinos::Epetra::MultiVector::__eq__ | ( | self, | ||
other | ||||
) |
__eq__(self, other) -> bool Equal operator (==).
def PyTrilinos::Epetra::MultiVector::__ge__ | ( | self, | ||
other | ||||
) |
__ge__(self, other) -> bool Greater-than or equal operator (>=).
def PyTrilinos::Epetra::MultiVector::__ge__ | ( | self, | ||
other | ||||
) |
__ge__(self, other) -> bool Greater-than or equal operator (>=).
def PyTrilinos::Epetra::MultiVector::__getitem__ | ( | self, | ||
index | ||||
) |
x.__getitem__(y) <==> x[y]
def PyTrilinos::Epetra::MultiVector::__getitem__ | ( | self, | ||
index | ||||
) |
x.__getitem__(y) <==> x[y]
def PyTrilinos::Epetra::MultiVector::__getslice__ | ( | self, | ||
i, | ||||
j | ||||
) |
x.__getslice__(i,j) <==> x[i:j]
def PyTrilinos::Epetra::MultiVector::__getslice__ | ( | self, | ||
i, | ||||
j | ||||
) |
x.__getslice__(i,j) <==> x[i:j]
def PyTrilinos::Epetra::MultiVector::__gt__ | ( | self, | ||
other | ||||
) |
__gt__(self, other) -> bool Greater-than operator (>).
def PyTrilinos::Epetra::MultiVector::__gt__ | ( | self, | ||
other | ||||
) |
__gt__(self, other) -> bool Greater-than operator (>).
def PyTrilinos::Epetra::MultiVector::__init__ | ( | self, | ||
args | ||||
) |
__init__(self, BlockMap map, int numVectors, bool zeroOut=True) -> MultiVector __init__(self, MultiVector source) -> MultiVector __init__(self, BlockMap map, PyObject array) -> MultiVector __init__(self, DataAccess CV, MultiVector source) -> MultiVector __init__(self, DataAccess CV, MultiVector source, PyObject range) -> MultiVector __init__(self, PyObject array) -> MultiVector Arguments: map - BlockMap describing domain decomposition numVectors - Number of vectors zeroOut - Flag controlling whether to initialize MultiVector to zero source - Source MultiVector for copy constructors array - Python sequence that can be converted to a numpy array of doubles for initialization CV - Epetra.Copy or Epetra.View range - Python sequence specifying range of vector indexes
Reimplemented from PyTrilinos::Epetra::NumPyMultiVector.
def PyTrilinos::Epetra::MultiVector::__init__ | ( | self, | ||
args | ||||
) |
def PyTrilinos::Epetra::MultiVector::__init__ | ( | self, | ||
args | ||||
) |
__init__(self, BlockMap map, int numVectors, bool zeroOut=True) -> MultiVector __init__(self, MultiVector source) -> MultiVector __init__(self, BlockMap map, PyObject array) -> MultiVector __init__(self, DataAccess CV, MultiVector source) -> MultiVector __init__(self, DataAccess CV, MultiVector source, PyObject range) -> MultiVector __init__(self, PyObject array) -> MultiVector Arguments: map - BlockMap describing domain decomposition numVectors - Number of vectors zeroOut - Flag controlling whether to initialize MultiVector to zero source - Source MultiVector for copy constructors array - Python sequence that can be converted to a numpy array of doubles for initialization CV - Epetra.Copy or Epetra.View range - Python sequence specifying range of vector indexes
Reimplemented from PyTrilinos::Epetra::NumPyMultiVector.
def PyTrilinos::Epetra::MultiVector::__init__ | ( | self, | ||
args | ||||
) |
def PyTrilinos::Epetra::MultiVector::__initArray__ | ( | self | ) |
__initArray__(self) Initialize the underlying numpy array.
def PyTrilinos::Epetra::MultiVector::__initArray__ | ( | self | ) |
__initArray__(self) Initialize the underlying numpy array.
def PyTrilinos::Epetra::MultiVector::__le__ | ( | self, | ||
other | ||||
) |
__le__(self, other) -> bool Less-than-or-equal operator (<=).
def PyTrilinos::Epetra::MultiVector::__le__ | ( | self, | ||
other | ||||
) |
__le__(self, other) -> bool Less-than-or-equal operator (<=).
def PyTrilinos::Epetra::MultiVector::__lt__ | ( | self, | ||
other | ||||
) |
__lt__(self, other) -> bool Less-than operator (<).
def PyTrilinos::Epetra::MultiVector::__lt__ | ( | self, | ||
other | ||||
) |
__lt__(self, other) -> bool Less-than operator (<).
def PyTrilinos::Epetra::MultiVector::__ne__ | ( | self, | ||
other | ||||
) |
__ne__(self, other) -> bool Not-equal operator (!=).
def PyTrilinos::Epetra::MultiVector::__ne__ | ( | self, | ||
other | ||||
) |
__ne__(self, other) -> bool Not-equal operator (!=).
def PyTrilinos::Epetra::MultiVector::__str__ | ( | self | ) |
__str__(self) -> string Return the numpy-style string representation of the MultiVector.
def PyTrilinos::Epetra::MultiVector::__str__ | ( | self | ) |
__str__(self) -> string Return the numpy-style string representation of the MultiVector.