PyTrilinos.Epetra.NumPyMultiVector Class Reference

Inheritance diagram for PyTrilinos.Epetra.NumPyMultiVector:

Collaboration diagram for PyTrilinos.Epetra.NumPyMultiVector:

List of all members.

Public Member Functions
def	__init__
def	ExtractCopy
def	ExtractView
def	Dot
def	Norm1
def	Norm2
def	NormInf
def	NormWeighted
def	MinValue
def	MaxValue
def	MeanValue
def	cleanup
Public Attributes
	this

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Detailed Description

Proxy of C++ PyTrilinos::Epetra_NumPyMultiVector class

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Constructor & Destructor Documentation

def PyTrilinos.Epetra.NumPyMultiVector.__init__	(		self,
			args
	)

Epetra_NumPyMultiVector(BlockMap blockMap, int numVectors, bool zeroOut=True) -> NumPyMultiVector
Epetra_NumPyMultiVector(Epetra_MultiVector source) -> NumPyMultiVector
Epetra_NumPyMultiVector(BlockMap blockMap, PyObject * pyObject) -> NumPyMultiVector
Epetra_NumPyMultiVector(Epetra_DataAccess CV, NumPyMultiVector source, PyObject * range=None) -> NumPyMultiVector
Epetra_NumPyMultiVector(Epetra_DataAccess CV, Epetra_MultiVector source, PyObject * range=None) -> NumPyMultiVector
__init__(PyTrilinos::Epetra_NumPyMultiVector self, PyObject * pyObject) -> NumPyMultiVector

Reimplemented from PyTrilinos.Epetra.Epetra_MultiVector.

Reimplemented in PyTrilinos.Epetra.MultiVector, and PyTrilinos.Epetra.MultiVector.

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Member Function Documentation

def PyTrilinos.Epetra.NumPyMultiVector.cleanup

(

args

)

cleanup()

def PyTrilinos.Epetra.NumPyMultiVector.Dot	(		self,
			args
	)

Dot(NumPyMultiVector self, Epetra_MultiVector a) -> PyObject *

Return a numpy.ndarray of the dot products of the MultiVector and a.

def PyTrilinos.Epetra.NumPyMultiVector.ExtractCopy	(		self,
			args
	)

ExtractCopy(NumPyMultiVector self) -> PyObject *

Return a numpy.ndarray that is a copy of the MultiVector.

def PyTrilinos.Epetra.NumPyMultiVector.ExtractView	(		self,
			args
	)

ExtractView(NumPyMultiVector self) -> PyObject *

Return a numpy.ndarray that is a view of the MultiVector.

def PyTrilinos.Epetra.NumPyMultiVector.MaxValue	(		self,
			args
	)

MaxValue(NumPyMultiVector self) -> PyObject *

Return a numpy.ndarray of the maximum values in MultiVector.

def PyTrilinos.Epetra.NumPyMultiVector.MeanValue	(		self,
			args
	)

MeanValue(NumPyMultiVector self) -> PyObject *

Return a numpy.ndarray of the mean values of the MultiVector.

def PyTrilinos.Epetra.NumPyMultiVector.MinValue	(		self,
			args
	)

MinValue(NumPyMultiVector self) -> PyObject *

Return a numpy.ndarray of the minimum values in MultiVector.

def PyTrilinos.Epetra.NumPyMultiVector.Norm1	(		self,
			args
	)

Norm1(NumPyMultiVector self) -> PyObject *

Return a numpy.ndarray of the L-1 norms of MultiVector.

def PyTrilinos.Epetra.NumPyMultiVector.Norm2	(		self,
			args
	)

Norm2(NumPyMultiVector self) -> PyObject *

Return a numpy.ndarray of the the L-2 norms of MultiVector.

def PyTrilinos.Epetra.NumPyMultiVector.NormInf	(		self,
			args
	)

NormInf(NumPyMultiVector self) -> PyObject *

Return a numpy.ndarray of the L-infinity norms of MultiVector.

def PyTrilinos.Epetra.NumPyMultiVector.NormWeighted	(		self,
			args
	)

NormWeighted(NumPyMultiVector self, Epetra_MultiVector weights) -> PyObject *

Return a numpy.ndarray of the weighted norms of MultiVector.

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The documentation for this class was generated from the following file:

• Epetra.py