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PyTrilinos
Development
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Public Member Functions | |
| def | __init__ |
| def | Shape |
| def | Reshape |
| def | OneNorm |
| def | InfNorm |
| def | __eq__ |
| def | __ne__ |
| def | __call__ |
| def | Random |
| def | M |
| def | N |
| def | A |
| def | LDA |
| def | CV |
Public Attributes | |
| this | |
Epetra_IntSerialDenseMatrix: A class for constructing and using general dense integer matrices. The Epetra_IntSerialDenseMatrix class enables the construction and use of integer-valued, general dense matrices. The Epetra_IntSerialDenseMatrix class is intended to provide very basic support for dense rectangular matrices. Constructing Epetra_IntSerialDenseMatrix Objects There are four Epetra_IntSerialDenseMatrix constructors. The first constructs a zero-sized object which should be made to appropriate length using the Shape() or Reshape() functions and then filled with the [] or () operators. The second constructs an object sized to the dimensions specified, which should be filled with the [] or () operators. The third is a constructor that accepts user data as a 2D array, and the fourth is a copy constructor. The third constructor has two data access modes (specified by the Epetra_DataAccess argument): Copy mode - Allocates memory and makes a copy of the user-provided data. In this case, the user data is not needed after construction. View mode - Creates a "view" of the user data. In this case, the user data is required to remain intact for the life of the object. WARNING: View mode is extremely dangerous from a data hiding perspective. Therefore, we strongly encourage users to develop code using Copy mode first and only use the View mode in a secondary optimization phase. Epetra_IntSerialDenseMatrix constructors will throw an exception if an error occurrs. These exceptions will alway be negative integer values as follows: -1 Invalid dimension specified. -2 Shape returned non-zero. -3 Null pointer specified for user's data. -99 Internal Epetra_IntSerialDenseMatrix error. Contact developer. Other Epetra_IntSerialDenseMatrix functions that do not return an integer error code (such as operators () and [] ) will throw an exception if an error occurrs. These exceptions will be integer values as follows: -1 Invalid row specified. -2 Invalid column specified. -5 Invalid assignment (type mismatch). -99 Internal Epetra_IntSerialDenseMatrix error. Contact developer. b Extracting Data from Epetra_IntSerialDenseMatrix Objects Once a Epetra_IntSerialDenseMatrix is constructed, it is possible to view the data via access functions. WARNING: Use of these access functions cam be extremely dangerous from a data hiding perspective. Vector and Utility Functions Once a Epetra_IntSerialDenseMatrix is constructed, several mathematical functions can be applied to the object. Specifically: Multiplication. Norms. C++ includes: Epetra_IntSerialDenseMatrix.h
| def PyTrilinos.Epetra.Epetra_IntSerialDenseMatrix.__init__ | ( | self, | |
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__init__(Epetra_IntSerialDenseMatrix self) -> Epetra_IntSerialDenseMatrix __init__(Epetra_IntSerialDenseMatrix self, int NumRows, int NumCols) -> Epetra_IntSerialDenseMatrix __init__(Epetra_IntSerialDenseMatrix self, Epetra_DataAccess CV, int * A, int LDA, int NumRows, int NumCols) -> Epetra_IntSerialDenseMatrix __init__(Epetra_IntSerialDenseMatrix self, Epetra_IntSerialDenseMatrix Source) -> Epetra_IntSerialDenseMatrix Epetra_IntSerialDenseMatrix::Epetra_IntSerialDenseMatrix(const Epetra_IntSerialDenseMatrix &Source) Epetra_IntSerialDenseMatrix copy constructor. This matrix will take on the data access mode of the Source matrix.
Reimplemented from PyTrilinos.Epetra.Object.
Reimplemented in PyTrilinos.Epetra.IntSerialDenseVector, PyTrilinos.Epetra.NumPyIntSerialDenseVector, PyTrilinos.Epetra.Epetra_IntSerialDenseVector, PyTrilinos.Epetra.IntSerialDenseVector, PyTrilinos.Epetra.IntSerialDenseMatrix, PyTrilinos.Epetra.NumPyIntSerialDenseMatrix, and PyTrilinos.Epetra.IntSerialDenseMatrix.
| def PyTrilinos.Epetra.Epetra_IntSerialDenseMatrix.__call__ | ( | self, | |
| args | |||
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__call__(Epetra_IntSerialDenseMatrix self, int RowIndex, int ColIndex) -> int &
Reimplemented in PyTrilinos.Epetra.IntSerialDenseVector, PyTrilinos.Epetra.Epetra_IntSerialDenseVector, and PyTrilinos.Epetra.NumPyIntSerialDenseMatrix.
| def PyTrilinos.Epetra.Epetra_IntSerialDenseMatrix.__eq__ | ( | self, | |
| args | |||
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__eq__(Epetra_IntSerialDenseMatrix self, Epetra_IntSerialDenseMatrix rhs) -> bool
Reimplemented in PyTrilinos.Epetra.IntSerialDenseVector, and PyTrilinos.Epetra.IntSerialDenseMatrix.
| def PyTrilinos.Epetra.Epetra_IntSerialDenseMatrix.__ne__ | ( | self, | |
| args | |||
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__ne__(Epetra_IntSerialDenseMatrix self, Epetra_IntSerialDenseMatrix rhs) -> bool
Reimplemented in PyTrilinos.Epetra.IntSerialDenseVector, and PyTrilinos.Epetra.IntSerialDenseMatrix.
| def PyTrilinos.Epetra.Epetra_IntSerialDenseMatrix.A | ( | self | ) |
A(Epetra_IntSerialDenseMatrix self) -> int * int* Epetra_IntSerialDenseMatrix::A() Returns pointer to the this matrix.
Reimplemented in PyTrilinos.Epetra.NumPyIntSerialDenseMatrix.
| def PyTrilinos.Epetra.Epetra_IntSerialDenseMatrix.CV | ( | self | ) |
CV(Epetra_IntSerialDenseMatrix self) -> Epetra_DataAccess Epetra_DataAccess Epetra_IntSerialDenseMatrix::CV() const Returns the data access mode of the this matrix.
Reimplemented in PyTrilinos.Epetra.Epetra_IntSerialDenseVector.
InfNorm(Epetra_IntSerialDenseMatrix self) -> int int Epetra_IntSerialDenseMatrix::InfNorm() Computes the Infinity-Norm of the this matrix.
LDA(Epetra_IntSerialDenseMatrix self) -> int int Epetra_IntSerialDenseMatrix::LDA() const Returns the leading dimension of the this matrix.
| def PyTrilinos.Epetra.Epetra_IntSerialDenseMatrix.M | ( | self | ) |
M(Epetra_IntSerialDenseMatrix self) -> int int Epetra_IntSerialDenseMatrix::M() const Returns row dimension of system.
| def PyTrilinos.Epetra.Epetra_IntSerialDenseMatrix.N | ( | self | ) |
N(Epetra_IntSerialDenseMatrix self) -> int int Epetra_IntSerialDenseMatrix::N() const Returns column dimension of system.
OneNorm(Epetra_IntSerialDenseMatrix self) -> int int Epetra_IntSerialDenseMatrix::OneNorm() Computes the 1-Norm of the this matrix. Integer error code, set to 0 if successful.
Random(Epetra_IntSerialDenseMatrix self) -> int int Epetra_IntSerialDenseMatrix::Random() Set matrix values to random numbers. IntSerialDenseMatrix uses the random number generator provided by Epetra_Util. The matrix values will be set to random values on the interval (0, 2^31 - 1). Integer error code, set to 0 if successful.
Reimplemented in PyTrilinos.Epetra.Epetra_IntSerialDenseVector.
| def PyTrilinos.Epetra.Epetra_IntSerialDenseMatrix.Reshape | ( | self, | |
| args | |||
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Reshape(Epetra_IntSerialDenseMatrix self, int NumRows, int NumCols) -> int int Epetra_IntSerialDenseMatrix::Reshape(int NumRows, int NumCols) Reshape a Epetra_IntSerialDenseMatrix object. Parameters: ----------- In: NumRows - Number of rows in object. In: NumCols - Number of columns in object. Allows user to define the dimensions of a Epetra_IntSerialDenseMatrix at any point. This function can be called at any point after construction. Any values that were previously in this object are copied into the new shape. If the new shape is smaller than the original, the upper left portion of the original matrix (the principal submatrix) is copied to the new matrix. Integer error code, set to 0 if successful.
Reimplemented in PyTrilinos.Epetra.NumPyIntSerialDenseMatrix.
| def PyTrilinos.Epetra.Epetra_IntSerialDenseMatrix.Shape | ( | self, | |
| args | |||
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Shape(Epetra_IntSerialDenseMatrix self, int NumRows, int NumCols) -> int int Epetra_IntSerialDenseMatrix::Shape(int NumRows, int NumCols) Set dimensions of a Epetra_IntSerialDenseMatrix object; init values to zero. Parameters: ----------- In: NumRows - Number of rows in object. In: NumCols - Number of columns in object. Allows user to define the dimensions of a Epetra_IntSerialDenseMatrix at any point. This function can be called at any point after construction. Any values that were previously in this object are destroyed and the resized matrix starts off with all zero values. Integer error code, set to 0 if successful.
Reimplemented in PyTrilinos.Epetra.NumPyIntSerialDenseMatrix.
1.7.6.1
